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The External Environment and Insurance
Tectonic Shifts, Global Transformation
Insurance Information Institute
April 4, 2014
Robert P. Hartwig, Ph.D., CPCU, President & Economist
Insurance Information Institute 110 William Street New York, NY 10038
Tel: 212.346.5520 Cell: 917.453.1885 [email protected] www.iii.org
2
Presentation Outline: The External Environment and Insurance
Major Categories of External Risks
Global Economic Environment
Geopolitical Issues
Terrorism/Torts/Cyber
P/C Insurance & Reinsurance Operating Environment
Natural Catastrophe Risk
The “New” Investment Environment
New Capacity/CapitalReinsurance
Insurance Regulatory Trends in the Post-Crisis World
Q&A
3
Risk & Insurance
U.S. and Global Perspective
The External Environment:
Is the World Becoming a Riskier Uncertain Place?
4
5 Major Categories for External Global Risks, Uncertainties and Fears: Insurance Solutions
1. Economic Risks
2. Geopolitical Risks
3. Environmental Risks
4. Technological Risks
5. Societal Risks
Source: Adapted from World Economic Forum, Global Risks 2014; Insurance Information Institute.
While risks can
be broadly
categorized,
none are
mutually
exclusive
5
Uncertainty, Risk and Fear Abound: Insurance Can Help Mitigate Risk Economic Issues in US, Europe
Weakness in China/Emerging Economies
Political Gridlock in the US, Europe, Japan
Fiscal Imbalances
Monetary Policy/Tapering/Low Interest Rates
Unemployment
Political Upheaval in the Ukraine, Middle East
Argentina, Venezuela, Thailand
Resurgent Terrorism Risk
Diffusion of Weapons of Mass Destruction
Cyber Attacks
Record Natural Disaster Losses
Climate Change
Environmental Degradation
Income Inequality
(Over)Regulation
Are “Black Swans” everywhere or
does it just seem that way?
6
Top 5 Global Risks in Terms of Likelihood, 2007—2014: Insurance Can Help With Most
Source: World Economic Forum, Global Risks 2014; Insurance Information Institute.
Concerns Shift Considerably Over Short Spans of Time. 2014 Includes a Mix of Environmental Economic, Social and Environmental Risks
In 2014, societal
and environ-mental issues
dominated frequency concerns
7
Top 5 Global Risks in Terms of Impact,2007—2014: Insurance Can Help With Most
Source: World Economic Forum, Global Risks 2014; Insurance Information Institute.
Concerns Over the Impacts of Economics Risks Remained High in 2014, but Societal, Environment and Technological Risks Also Loom Large
In 2014, economic
and environ-mental issues
dominated severity
concerns
8
Audience Question: CAT RISK
In the US. Western Europe and Japan approximately
50%-60% of economic losses from nat cat events are
recovered through (re)insurance. In other parts of the
world the recovery rate is much smaller. Do you see this
as a major opportunity or are there intractable issues
that make closing this “uninsurance gap” impractical?
A. Yes—There are significant growth opportunities for (re)insurers
today
B. Yes—There are significant opportunities but most of the
markets for these risks are not sufficiently well developed
C. No—The “uninsurance gap” consists primarily of risks that are
difficult of impossible to (re)insure
D. Not Sure/Don’t Know
99Sources: Guy Carpenter, World Bank, IMF; Insurance Information Institute .
Gap Between GDP Growth and Reinsurance Limit in Asia-Pacific Region: 2004—2013
The gap between GDP and reinsurance limit in Asia is growing—suggesting the
region is “under-reinsured”
Globalization:The Global Economy Creates
and Transmits Risks
10
Globalization Is a Double Edged Sword—
Creating Opportunity and Wealth But
Potentially Creating and Amplifying Risk
10
Emerging vs. “Advanced” Economies
11
US Real GDP Growth*
* Estimates/Forecasts from Blue Chip Economic Indicators.
Source: US Department of Commerce, Blue Economic Indicators 3/14; Insurance Information Institute.
2.7
%0.5
%
3.6
%3.0
%
1.7
%
-1.8
%1.3
%
-3.7
%
-5.3
%
-0.3
%1.4
%
5.0
%2.3
%
2.2
%
2.6
%2.4
%
0.1
%
2.5
%1.3
%
4.1
%2.0
%
1.3
% 3.1
%
1.1
% 2.5
% 4.1
%
2.4
%1.9
% 2.8
%3.0
%
3.1
%
3.0
%3.0
%
3.0
%2.9
%
0.4
%
-8.9%
4.1
%
1.1
%1.8
%
2.5
% 3.6
%
3.1
%
-9%
-7%
-5%
-3%
-1%
1%
3%
5%
7%
2
00
0
2
00
1
2
00
2
2
00
3
2
00
4
2
00
5
2
00
6
07
:1Q
07
:2Q
07
:3Q
07
:4Q
08
:1Q
08
:2Q
08
:3Q
08
:4Q
09
:1Q
09
:2Q
09
:3Q
09
:4Q
10
:1Q
10
:2Q
10
:3Q
10
:4Q
11
:1Q
11
:2Q
11
:3Q
11
:4Q
12
:1Q
12
:2Q
12
:3Q
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:4Q
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:1Q
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:2Q
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:3Q
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:4Q
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:1Q
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:2Q
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:3Q
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:4Q
Demand for Insurance Should Increase in 2014/15 as GDP Growth Accelerates Modestly and Gradually Benefits the Economy Broadly
Real GDP Growth (%)
Recession began in Dec. 2007. Economic toll of credit crunch, housing slump, labor market contraction
was severe
The Q4:2008 decline was the steepest since the Q1:1982 drop of 6.8%
2014/15 are expected to see a modest acceleration in
growth
(4.0)
(2.0)
0.0
2.0
4.0
6.0
8.0
10.0
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
F1
4F
15
F
Advanced economies Emerging and developing economies World
Source: International Monetary Fund, World Economic Outlook , January 2014 WEO Update; Ins. Info. Institute.
Emerging economies (led by China) are expected to grow by 5.1% in 2014 and
5.4% in 2015.
GDP Growth: Advanced & Emerging Economies vs. World, 1970-2015F
Advanced economies are expected to grow at a modest pace of 2.2% in
2014 and to 2.3% in 2015.
World output is forecast to grow by 3.7% in 2014 and 3.9% in 2015. The world economy shrank by 0.6% in
2009 amid the global financial crisis
GDP Growth (%)
13
Global GDP: 1948—2013F
$7,377
$18,828
$3,676
$1,838$579$157$84$59
$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$16,000
$18,000
$20,000
1948 1953 1963 1973 1983 1993 2003 2013F
Sources: World Trade Organization data through 2011; Insurance Information Institute estimate for 2013 based on IMF forecasts as of July 2013.
$ Billions
Insurance Regulation Will Necessarily Become More Transnational, Following Patterns of Global Economic Growth, the Creation of New
Insurable Exposures and International Capital Flows
Global trade volume will approach $19 trillion in 2013, a
155% over the past decade
13
14
Real GDP Growth Forecasts: Major Economies: 2011 – 2015F
Sources: Blue Chip Economic Indicators (2/2014 issue); IMF; Insurance Information Institute.
1.8
%
1.5
%
0.9
%
2.2% 2.7
%
1.1
%
2.7
%
3.0
%
2.3
%
7.4
%
3.0
%
1.4
% 2.5
%
3.3
%
2.7
%
7.3
%
9.3%
2.6%
4.6%
-0.6
%
7.8%
3.0
%
0.2
%
1.8
%
1.4
%
1.9
%
-0.4
%
1.7
%2.6
%
7.7
%
-2%
0%
2%
4%
6%
8%
10%
US Euro Area UK Latin America Canada China
2011 2012 2013F 2014F 2015F
Growth Prospects Vary Widely by Region: Growth Returning in the US, Recession in the Eurozone, Some strengthening in Latin America
The Eurozoneis ending
Growth in China has outpaced the US
and Europe
US growth should
acceleratein 2014
15
Real GDP Growth Forecasts: Selected Economies: 2011 – 2014F
Sources: Blue Chip Economic Indicators (9/2013 issue); Insurance Information Institute.
3.6
%
4.1
%
7.7
%
4.3
%
3.9
%
2.0
%
1.3
%
3.4
%
0.9
%
3.6
%
3.9
%
2.7
%
2.8
%
5.7
%
2.8
%
2.7
%
2.6
%
2.9
%3.6
%
3.7
%
6.7
%
3.6
%
3.5
%
2.8
%
4.1
%
2.7
%
2.4
%
4.0
%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
S. Korea Taiwan India Russia Brazil Australia Mexico
2011 2012 2013F 2014F
Growth Outside the US, Europe and Japan is Relatively Strong
Strong economies in smaller industrialized nations will bolster demand for products, services, international trade and insure
16
Potential Output of Total Economy: US, China, India, Indonesia and Japan, 2000-2060F
Source: OECD; Insurance Information Institute .16
$ 2005 PPP
Growth in economic output will be
concentrated in certain developing economies
such as China and India
China will likely become the
world’s largest economy between
2025 and 2030
17
World Trade Volume: 1948—2013F
$7,377
$18,828
$3,676
$1,838$579$157$84$59
$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$16,000
$18,000
$20,000
1948 1953 1963 1973 1983 1993 2003 2013F
Sources: World Trade Organization data through 2011; Insurance Information Institute estimate for 2013 based on IMF forecasts as of July 2013.
$ Billions
Insurance Regulation Will Necessarily Become More Transnational, Following Patterns of Global Economic Growth, the Creation of New
Insurable Exposures and International Capital Flows
Global trade volume will approach $19 trillion in 2013, a
155% over the past decade
17
1818Sources: United Nations, World Population Prospects, June 13, 2013; Insurance Information Institute .
World Population Growth: 2010—2100F
Mid-range scenarios suggest a massive
slowdown in the number of
available lives to insure. Growth
will be increasing dependent on
product penetration rates
in emerging economies
The future of insurance will be tied global
population growth—life
insurance more closely than
nonlife.
19
Population Growth: Developed vs. Less Developed Countries 2010—2100F
Sources: United Nations, World Population Prospects, June 13, 2013; Insurance Information Institute .19
Virtually all of the world’s population growth through the
end of the 21st century will occur in the developing world
Global Insurance Premium Growth Trends:
Non-Life (P/C) and Life
20
Growth Is Uneven Across Regions
and Market Segments
20
Life, $2.62 ,
56.8%
Non-Life,
$1.99 ,
43.2%
Life insurance accounted for nearly
57% of global premium volume in
2012 vs. 43% for Non-Life
Distribution of Global Insurance Premiums, 2012 ($ Trillions)
21
Total Premium Volume = $4.613 Trillion*
Source: Swiss Re, sigma, No. 3/2013; Insurance Information Institute.
22
Distribution of Nonlife Premium: Industrialized vs. Emerging Markets, 2012
Sources: Swiss Re sigma No.3/2013; Insurance Information Institute research.
Emerging market’s share of nonlife premiums increased to 17.3% in 2012 from 14.3% in 2009. The share of premiums written in the $2 trillion global nonlife market remains much larger (82.7%) but continues to shrink.
The financial crisis and sluggish recovery in the major insurance markets will accelerate the expansion of the emerging market sector
Premium Growth Facts
17.3%82.7%
Industrialized Economies
$1, 647.5
Emerging Markets$344.1
2012, $Billions
Developing markets now account for about 40% of
global GDP but just 17.3% of nonlife premiums
23
Premium Growth by Region, 20122.3
%
2.0
%
16.8
%
-3.1
%
-0.4
%
1.9
%
13.8
%
-4.9
%
2.6
%
1.7
%
-0.4
%
4.8
%
5.8
%
13.0
%
4.8
%
-1.0
%
13.0
%
2.4
%
1.8
%
11
.7%
-2.0
%
4.9
% 8.1
%
4.2
%
3.9
%
10
.5%
-0.1
%5.1
% 8.8
%
7.8
%
-10%
-5%
0%
5%
10%
15%
20%
World N.
America
Latin
America
W.
Europe
Central &
E. Europe
Advanced
Asia
Emerging
Asia
Middle
East &
Central
Asia
Africa Oceania
Life Non-Life Total
Global Premium Volume Totaled $4.613 Trillion in 2012, up 2.4% from $4.566 Trillion in 2011. Global Growth Was Weighed Down by Slow Growth
in N. America and W. Europe and Partially Offset by Emerging Markets
Latin America growth was
the strongest in 2012
Growth in Advanced Asia (incl. China) markets was
third highest in 2012
Source: Swiss Re, sigma, No. 3/2013.
24
Global Real (Inflation Adjusted) Premium Growth (Life and Non-Life): 2012
Source: Swiss Re, sigma, No. 3/2013; Insurance Information Institute.
Market Life Non-Life Total
Advanced 1.8 1.5 1.7
Emerging 4.9 8.6 6.8
World 2.3 2.6 2.4
Emerging markets in Asia, including China, showed faster growth an the US or Europe
Premium growth in emerging
markets was 4 times that of
advanced economies in
2012
25
Non-Life Insurance: Global Real (Inflation Adjusted) Premium Growth, 2012
Source: Swiss Re, sigma, No. 3/2013.
Market Life Non-Life Total
Advanced 1.8 1.5 1.7
Emerging 4.9 8.6 6.8
World 2.3 2.6 2.4
Real growth in non-life insurance
premiums was faster in China than the US
26
Global Real (Inflation Adjusted) NonlifePremium Growth: 1980-2010
Source: Swiss Re, sigma, No. 2/2010.
-10%
-5%
0%
5%
10%
15%
20%
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
Real growth rates
Total Industrialised countries Emerging markets
Nonlife premium growth in emerging markets has
exceeded that of industrialized countries in
27 of the past 31 years, including the entirety of the
global financial crisis..
Real nonlife premium growth is very erratic in part to inflation volatility in emerging markets as
well as a lack of consistent cyclicality
Average: 1980-2010
Industrialized Countries: 3.8%
Emerging Markets: 9.2%
Overall Total: 4.2%
27
-5%
0%
5%
10%
15%
20%
25%
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13:9
M
Net Premium Growth: Annual Change, 1971—2013:Q3
(Percent)
1975-78 1984-87 2000-03
Shaded areas denote “hard market” periodsSources: A.M. Best (historical and forecast), ISO, Insurance Information Institute.
Net Written Premiums Fell 0.7% in 2007 (First Decline
Since 1943) by 2.0% in 2008, and 4.2% in 2009, the First 3-Year Decline Since 1930-33.
2013:9M = 4.2%
2012 growth was +4.3%
28
Non-Life Insurance: Global Real (Inflation Adjusted) Premium Growth, 2012
Source: Swiss Re, sigma, No. 3/2013.
Global Non-Life growth in 2012
exceeded the pre-crisis and post-crisis average. The same is true for advanced Asia economies like China
29
Life Insurance: Global Real (Inflation Adjusted) Premium Growth, 2012
Source: Swiss Re, sigma, No. 3/2013.
Market Life Non-Life Total
Advanced 1.8 1.5 1.7
Emerging 4.9 8.6 6.8
World 2.3 2.6 2.4
Real growth in life insurance premiums was a bit slower in China than the US
30
Life Insurance: Global Real (Inflation Adjusted) Premium Growth, 2012
Source: Swiss Re, sigma, No. 3/2013.
Global Life Insurance growth in 2012 was lower than the pre-crisis average but
above than the post-crisis average. Advanced Asia
economies like China saw stronger growth
on average than before or after the crisis.
31
Life and Non-Life Insurance Penetrationas a % of GDP: 1962-2012
Source: Swiss Re, sigma, No. 3/2013.
Life insurance in emerging markets has experienced the
fastest in recent decades
Non-life markets have been slower to grow than life
Em
erg
ing
Mark
ets
Ad
van
ce
d M
ark
ets
32
Premiums Written in Life and Non-Life, by Region: 1962-2012
Source: Swiss Re, sigma, No. 3/2013.
Emerging market shares rose rapidly over the past 50 years
33
Population Distribution, by Region:1962-2062F
Source: Swiss Re, sigma, No. 3/2013 from United Nations Department of Economic and Sovial Affairs, Population Division.
Enormous population shifts will impact insurance demand
over the next half century
Africa is expected to
be the fastest population
growth over the next 50
years, but no expectation now of Asia-
like growth in economies or
insurance demand
34
Relationship Between Real GDP and Real Life and Non-Life Premium Growth, 2012
Source: Swiss Re, sigma, No. 3/2013.
The was a clear but highly relationship between real GDP growth and real
premium growth in advance markets in 2012
Advanced Markets Emerging Markets
The correlation between real GDP growth and real
premium growth in emerging markets was much stronger than in
advanced markets in 2012
35
Insurance Density and Penetration for Advanced and Emerging Markets, 2012
Source: Swiss Re, sigma, No. 3/2013.
Advanced Markets Emerging Markets
Spending and penetration are generally much higher in
advanced markets, though growth is fastest in emerging markets
Chinese spending on insurance is very
similar to Russia, but Russian spending is
mostly non-life and in China the majority is life
36
The Unfortunate Nexus: Opportunity, Risk & Instability
Most of the Global Economy’s Future Gains Will be Fraught with Much
Greater Risk and Uncertainty than in the Past
37Source: Aon PLC; Insurance Information Institute.
Terrorism remains a greater concern in the Middle East,
Africa and South Asia
Latin and South America have modest
terrorist threats though Brazil is elevated
Terrorism Risk in 2013: Greatest Business Opportunities Are Often in Risky Nations
38Source: Aon PLC; Insurance Information Institute.
The fastest growing markets are generally also
among the politically riskiest, including East and
South Asia and Africa
Latin and South America also present insurers with growth
opportunities but political instability has
increased markedly
Problems in the Ukraine will
intensify political risk in several former
Soviet republics
Political Risk in 2013: Greatest Business Opportunities Are Often in Risky Nations
3939Sources: Guy Carpenter, Swiss Re; Insurance Information Institute .
Gap Between Economic and Insured Losses: 1980—2013
The gap between economic and insured losses is
growing—suggesting both a problem and an opportunity
40
Some Key Drivers in the US Economy
External Economic Considerations that Could
Drive Growth
40
41
Unemployment and Underemployment Rates: Still Too High, But Falling
2
4
6
8
10
12
14
16
18
Jan
00
Jan
01
Jan
02
Jan
03
Jan
04
Jan
05
Jan
06
Jan
07
Jan
08
Jan
09
Jan
10
Jan
11
Jan
12
Jan
13
Jan
14
"Headline" Unemployment Rate U-3
Unemployment + Underemployment RateU-6
“Headline” unemployment
was 6.7% in February 2014.
4% to 6% is “normal.”
Source: US Bureau of Labor Statistics; Insurance Information Institute.
U-6 went from 8.0% in March
2007 to 17.5% in October 2009; Stood at 12.6% in Feb. 2014.8% to 10% is
“normal.”
January 2000 through February 2014, Seasonally Adjusted (%)
Stubbornly high unemployment and underemployment constrain overall economic growth, but the job market is now clearly improving.
41
As the unemployment rate approaches 6%,
the Fed will begin signaling on short-
term rates
42
US Unemployment Rate Forecast4
.5%
4.5
%4
.6%
4.8
%4
.9% 5.4
%6
.1%
6.9
%8
.1%
9.3
%9
.6% 10
.0%
9.7
%9
.6%
9.6
%
8.9
%9
.1%
9.1
%8
.7%
8.3
%
8.2
%8
.0%
7.8
%7
.7%
7.6
%7
.3%
7.0
%6
.6%
6.5
%6
.3%
6.2
%6
.1%
6.0
%5
.9%
5.8
%
9.6
%
4%
5%
6%
7%
8%
9%
10%
11%
07
:Q1
07
:Q2
07
:Q3
07
:Q4
08
:Q1
08
:Q2
08
:Q3
08
:Q4
09
:Q1
09
:Q2
09
:Q3
09
:Q4
10
:Q1
10
:Q2
10
:Q3
10
:Q4
11
:Q1
11
:Q2
11
:Q3
11
:Q4
12
:Q1
12
:Q2
12
:Q3
12
:Q4
13
:Q1
13
:Q2
13
:Q3
13
:Q4
14
:Q1
14
:Q2
14
:Q3
14
:Q4
15
:Q1
15
:Q2
15
:Q3
15
:Q4
Rising unemployment
eroded payrolls
and WC’s exposure base.
Unemployment peaked at 10%
in late 2009.
* = actual; = forecasts
Sources: US Bureau of Labor Statistics; Blue Chip Economic Indicators (3/14 edition); Insurance Information Institute.
2007:Q1 to 2015:Q4F*
Unemployment forecasts have been revised slightly
downwards. Optimistic scenarios put the
unemployment as low as 6.0% by Q4 of this year.
Jobless figures have been revised
slightly downwards for 2014/15
23
15
21
70
52
12
65
73
-71
32 6
4 81
55
3-1
15
-10
6-2
21
-21
5-2
06
-26
1-2
58
-42
2-4
86
-77
6 -69
3-8
21
-69
8-8
10
-80
1-2
94
-42
6-2
72
-23
2 -14
1-2
71
-15
-23
22
0-3
8
19
29
4 11
01
20
11
71
071
99
14
99
47
22
23
23
13
20
16
61
86
21
91
25
26
81
77
19
12
22
36
42
28
24
61
02
13
17
51
72
13
61
59
25
52
11
21
52
19 26
31
64
18
82
22
20
11
70
18
01
53
24
72
72
861
45
16
2
11
3
(1,000)
(800)
(600)
(400)
(200)
0
200
400
600
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n-0
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eb
-07
Ma
r-0
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p-0
9O
ct-
09
No
v-0
9D
ec-0
9Ja
n-1
0F
eb
-10
Ma
r-1
0A
pr-
10
Ma
y-1
0Ju
n-1
0Ju
l-1
0A
ug
-10
Se
p-1
0O
ct-
10
No
v-1
0D
ec-1
0Ja
n-1
1F
eb
-11
Ma
r-1
1A
pr-
11
Ma
y-1
1Ju
n-1
1Ju
l-1
1A
ug
-11
Se
p-1
1O
ct-
11
No
v-1
1D
ec-1
1Ja
n-1
2F
eb
-12
Ma
r-1
2A
pr-
12
Ma
y-1
2Ju
n-1
2Ju
l-1
2A
ug
-12
Se
p-1
2O
ct-
12
No
v-1
2D
ec-1
2Ja
n-1
3F
eb
-13
Ma
r-1
3A
pr-
13
Ma
y-1
3Ju
n-1
3Ju
l-1
3A
ug
-13
Se
p-1
3O
ct-
13
No
v-1
3D
ec-1
3Ja
n-1
4F
eb
-14
Monthly Change in Private Employment
January 2007 through February 2014 (Thousands, Seasonally Adjusted)
Private Employers Added 8.64 million Jobs Since Jan. 2010 After Having Shed 5.01 Million Jobs in 2009 and 3.76 Million in 2008 (State and Local Governments Have Shed Hundreds of Thousands of Jobs)
Source: US Bureau of Labor Statistics: http://www.bls.gov/ces/home.htm; Insurance Information Institute
Monthly losses in Dec. 08–Mar. 09 were
the largest in the post-WW II period
162,000 private sector jobs were
created in February
43
Jobs Created
2013: 2.368 Mill
2012: 2.294 Mill
2011: 2.400 Mill
2010: 1.277 Mill
44
(Millions of Units)
New Private Housing Starts, 1990-2019F
1.4
8
1.4
7 1.6
2
1.6
4
1.5
7
1.6
0 1.7
1 1.8
5 1.9
6 2.0
7
1.8
0
1.3
6
0.9
1
0.5
5
0.5
9
0.6
1 0.7
8 0.9
2 1.0
9
1.3
1 1.4
4
1.5
0
1.5
1
1.5
0
1.3
51.4
6
1.2
9
1.2
0
1.0
11.1
9
0.3
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F14F15F16F17F18F19F
Source: U.S. Department of Commerce; Blue Chip Economic Indicators (3/14 and 3/13); Insurance Information Institute.
Insurers Are Continue to See Meaningful Exposure Growth in the Wake of the “Great Recession” Associated with Home Construction: Construction Risk
Exposure, Surety, Commercial Auto; Potent Driver of Workers Comp Exposure
New home starts plunged 72% from 2005-2009; A net
annual decline of 1.49 million units, lowest since records began
in 1959
Job growth, low inventories of existing homes, low mortgage rates and demographics should continue to stimulate new home construction
for several more years
Florida Total Private Housing Starts,2000 – 2017F
45
The economic outlook for most of
the US is positive for the first time in many
years
Source: University of Central Florida Institute for Economic Competitiveness: http://iec.ucf.edu/post/2014/01/07/Florida-Metro-Forecast-December-2013.aspx
CRASH, CRATER, RECOVERYHomebuilding in FL continues
to recover, adding substantially to coastal exposures.
(Thousands of Units)
46
The combined ratios for both personal and commercial lines
improved substantially in 2013:H1
U.S. Residual Market: Total Policies In-Force (1990-2012) (000)
Source: PIPSO; Insurance Information Institute
931.6
1,785.0
1,458.1
1,196.5
1,741.7
2,841.4
3,311.83,227.3
2,479.4
1,319.7
2,621.32,780.6
1,642.3
2,840.4
2,209.32,203.9
0
500
1,000
1,500
2,000
2,500
3,000
3,500
1990 1995 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
(000)
Hurricane Andrew
4 Florida Hurricanes
Katrina, Rita and Wilma
In the 23-year period between 1990 and 2012, the total number of policies in-force in the residual market (FAIR & Beach/Windstorm) Plans has more than tripled.
Hurricane Sandy
47
U.S. Residual Market Exposure to Loss(1990-2012) ($ Billions)
Source: PIPSO; Insurance Information Institute (I.I.I.).
$281.8
$884.7
$757.9$818.1
$430.5$372.3
$54.7
$150.0
$292.0$244.2
$221.3
$419.5
$656.7 $696.4
$771.9
$703.0
$0
$100
$200
$300
$400
$500
$600
$700
$800
$900
$1,000
1990 1995 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
($ Billions)
In the 23-year period between 1990 and 2012, total exposure to loss in the residual market (FAIR & Beach/Windstorm) Plans has surged from $54.7
billion in 1990 to $818.1 billion in 2012.
Hurricane Andrew
4 Florida Hurricanes
Katrina, Rita and Wilma
Hurricane Sandy
48
Value of New Private Construction: Residential & Nonresidential, 2003-2013*
Billions of Dollars
$0
$100
$200
$300
$400
$500
$600
$700
$800
$900
$1,000
03 04 05 06 07 08 09 10 11 12 13*
Non Residential
Residential
Private Construction Activity Is Moving in a Positive Direction though Remains Well Below Pre-Crisis Peak; Residential Dominates
$298.1
$15.0
$613.7
New Construction peaks at $911.8. in 2006
Trough in 2010 at $500.6B,
after plunging 55.1% ($411.2B)
2013: Value of new pvt. construction hits $667.5B, up
33% from the 2010 trough but still
27% below 2006 peak
48
$261.8
$238.8
$311.5
$356.0
*2013 figure is a seasonally adjusted annual rate as of December.
Sources: US Department of Commerce; Insurance Information Institute.
49
Value of Private Construction Put in Place, by Segment, Jan. 2014 vs. Jan. 2013*
14.9%
-3.9%
1.7%
-12.2%
7.8%
41.0%
0.9%7.9%
13.8%12.3% 14.6%9.7%
47.8%
17.0%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
To
tal
Pri
vate
Co
nstr
ucti
on
Resid
en
tial
To
tal
No
nre
sid
en
tial
Lo
dg
ing
Off
ice
Co
mm
erc
ial
Healt
h C
are
Ed
ucati
on
al
Reli
gio
us
Am
usem
en
t &
Rec.
Tra
nsp
ort
ati
on
Co
mm
un
icati
on
Po
wer
Man
ufa
ctu
rin
g
Private Construction Activity is Up in Most Segments, Including the Key Residential Construction Sector; Bodes Well for Early 2014
Growth (%) Led by the Residential Construction, Lodging, Communication and Office segments, Private
sector construction activity is rising after plunging during the “Great Recession.”
*seasonally adjustedSource: U.S. Census Bureau, http://www.census.gov/construction/c30/c30index.html ; Insurance Information Institute.
50
Private Construction by Segment/Project Type, Jan. 2014 vs. Jan. 2013*
-3.6%
5.0%0.9%
42.6%
-30.3%
0.6%
20.6%
-3.9%-5.9%-1.6%
-16.6%
33.4%41.0%
12.3%
21.0%28.0%
17.0%
-24.2%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
To
tal
Pri
vate
Co
nstr
ucti
on
Resid
en
tial:
Sin
gle
Fam
ily
Resid
en
tial:
Mu
lti-
Fam
ily
Off
ice:
Gen
era
l
Off
ice:
Fin
an
cia
l
Au
tom
oti
ve
Fo
od
/Bevera
ge
Reta
il:
Gen
era
l
Merc
han
dis
e
Reta
il:
Sh
op
pin
g
Cen
ter
Sh
op
pin
g M
all
Dru
g S
tore
Bu
ild
ing
Su
pp
ly
Oth
er
Sto
res
Ware
ho
use:
Co
mm
erc
ial
Ware
ho
use:
Min
i-S
tora
ge
Ho
sp
itals
Med
ical
Bu
ild
ing
Sp
ecia
l C
are
Private Construction Activity is Up in Many Segments, Including the Key Residential Construction Sector, But Down in a Few
Growth (%) Shopping malls/centers and warehouse construction are
among the strongest nonresidential segments
*seasonally adjustedSource: U.S. Census Bureau, http://www.census.gov/construction/c30/c30index.html ; Insurance Information Institute.
51
$314.9$304.0
$286.4 $279.0 $274.4
$216.1 $220.2$234.2
$255.4
$289.1$308.7
$0
$50
$100
$150
$200
$250
$300
$350
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013*
($ Billions)
Government Construction Spending Peaked in 2009, Helped by Stimulus Spending, but Continues to Contract As State/Local Governments
Grapple with Deficits and Federal Sequestration Takes Hold
Value of New Federal, State and Local Government Construction: 2003-2013*
*2013 figure is a seasonally adjusted annual rate as of December.
Sources: US Department of Commerce; Insurance Information Institute.
Construction across all levels of government
peaked at $314.9B in 2009
Austerity Reigns
Govt. construction is still shrinking, down $40.5B or
12.9% since 2009 peak
52
Surety, Net Premiums Written, 1990-2013E, ($ millions)
$2
,61
0
$2
,74
9
$2
,88
1
$3
,25
2
$3
,33
2
$3
,06
0
$3
,28
8
$3
,39
4
$3
,83
6
$3
,84
0
$4
,41
7
$4
,80
7
$4
,92
2
$4
,81
3
$4
,82
3
$4
,85
4
$4
,69
4
$4
,69
0
$2
,45
8
$2
,64
4
$2
,96
2
$2
,15
8
$2
,35
6
$2
,52
8
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
20
13
E
Note: 1990-1992 includes Financial Guaranty.
Source: A.M. Best; Insurance Information Institute estimate for 2013 based on 9-month data from SNL Financial.
Surety premium growth has been negative/flat ever since the “Great
Recession” began
53
Surety Combined Ratio, 1990-2012*
84
.1
82
.7
84
.2
83
.8
86
.7
12
2.7
11
7.0
12
2.0
11
9.5
10
1.8
81
.6
70
.4
66
.6 79
.5
70
.5
72
.7
76
.887
.0
75
.9 83
.8
84
.7 91
.5
88
.2
0
20
40
60
80
100
120
140
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
*Net basis.Note: 1990-1992 includes Financial Guaranty.
Source: A.M. Best; Insurance Information Institute.
Underwriting performance in the surety line has been
strong since 2006
54
Construction Employment,Jan. 2010—February 2014*
*Seasonally adjusted.
Sources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
5,5
81
5,5
22
5,5
42
5,5
54
5,5
27
5,5
12
5,4
97
5,5
19
5,4
99
5,5
01
5,4
97
5,4
68
5,4
35 5,4
78
5,4
85
5,4
97
5,5
24
5,5
30
5,5
47
5,5
46
5,5
83
5,5
76
5,5
77
5,6
12
5,6
29
5,6
44
5,6
40
5,6
36
5,6
15
5,6
22
5,6
27
5,6
30
5,6
33
5,6
49
5,6
73
5,7
11
5,7
35 5,7
83
5,7
99
5,7
92
5,7
91
5,8
01
5,8
04
5,8
05
5,8
22
5,8
30
5,8
49
5,8
76 5,9
26
5,9
41
5,400
5,500
5,600
5,700
5,800
5,900
6,000
Ja
n-1
0F
eb
-10
Ma
r-1
0A
pr-
10
Ma
y-1
0Ju
n-1
0Ju
l-1
0A
ug
-10
Se
p-1
0O
ct-
10
No
v-1
0D
ec-1
0Ja
n-1
1F
eb
-11
Ma
r-1
1A
pr-
11
Ma
y-1
1Ju
n-1
1Ju
l-1
1A
ug
-11
Se
p-1
1O
ct-
11
No
v-1
1D
ec-1
1Ja
n-1
22
/30
/2M
ar-
12
Ap
r-1
2M
ay-1
2Ju
n-1
2Ju
l-1
2A
ug
-12
Se
p-1
2O
ct-
12
No
v-1
2D
ec-1
2Ja
n-1
3F
eb
-13
Ma
r-1
3A
pr-
13
Ma
y-1
3Ju
n-1
3Ju
l-1
3A
ug
-13
Se
p-1
2O
ct-
13
No
v-1
3D
ec-1
3Ja
n-1
4Ja
n-1
4
Construction employment is +506,000 above
Jan. 2011 (+9.3%) trough
(Thousands)
Construction and manufacturing employment constitute 1/3 of all payroll exposure.
55
$200,000
$300,000
$400,000
$500,000
Jan-
92
Jan-
93
Jan-
94
Jan-
95
Jan-
96
Jan-
97
Jan-
98
Jan-
99
Jan-
00
Jan 01
Jan 02
Jan 03
Jan 04
Jan 05
Jan 06
Jan 07
Jan 08
Jan 09
Jan 10
Jan 11
12-Jan
13-Jan
Dollar Value* of Manufacturers’ Shipments Monthly, Jan. 1992—Dec. 2013
*seasonally adjusted; Dec. 2013 is preliminary; data published February 4, 2014.Source: U.S. Census Bureau, Full Report on Manufacturers’ Shipments, Inventories, and Orders, http://www.census.gov/manufacturing/m3/
Monthly shipments in Dec. 2013 exceeded the pre-crisis (July 2008) peak. Manufacturing is energy-intensive and growth leads to gains in many commercial
exposures: WC, Commercial Auto, Marine, Property, and various Liability Coverages.
$ Millions
55
The value of Manufacturing Shipments in Dec. 2013 was $492.7B—a near record high.
56
Manufacturing Growth for Selected Sectors, 2013 vs. 2012*
3.0%
0.0%
-3.4%
8.1%
0.2%
2.7%
-1.8%-0.5%
3.1%
6.9%
1.7%3.1%
14.0%
0.4%1.3%
-6%-4%-2%0%2%4%6%8%
10%12%14%16%
All
Ma
nu
factu
rin
g
Du
rab
le M
fg.
Wo
od
Pro
du
cts
Pri
ma
ry
Me
tals
Fa
bri
ca
ted
Me
tals
Ma
ch
ine
ry
Ele
ctr
ica
l
Eq
uip
.
Co
mp
ute
rs &
Ele
ctr
on
ics
Tra
nsp
ort
atio
n
Eq
uip
.
No
n-D
ura
ble
Mfg
.
Fo
od
Pro
du
cts
Pe
tro
leu
m &
Co
al
Ch
em
ica
l
Pla
stics &
Ru
bb
er
Te
xtile
Pro
du
cts
Manufacturing Is Expanding—Albeit Slowly—Across a Number of Sectors that Will Contribute to Growth in Insurable Exposures Including: WC, Commercial
Property, Commercial Auto and Many Liability Coverages
Growth (%)
Manufacturing of durable goods was especially
strong in 2012 but weakened in 2013
*Seasonally adjusted; Date are YTD comparing data through November 2013 to the same period in 2012.Source: U.S. Census Bureau, Full Report on Manufacturers’ Shipments, Inventories, and Orders, http://www.census.gov/manufacturing/m3/
Durables: +3.4% Non-Durables: +0.2%
57
Manufacturing Employment,Jan. 2010—February 2014*
11
,46
01
1,4
60
11
,46
61
1,4
97
11
,53
11
1,5
39
11
,55
81
1,5
48
11
,55
41
1,5
55
11
,57
71
1,5
90
11
,62
41
1,6
62
11
,68
21
1,7
07
11
,71
51
1,7
24
11
,74
71
1,7
60
11
,76
21
1,7
70
11
,76
91
1,7
97
11
,84
11
1,8
70
11
,91
01
1,9
20
11
,92
61
1,9
35
11
,95
71
1,9
43
11
,92
51
1,9
31
11
,93
81
1,9
51
11
,96
51
1,9
88
11
,98
41
1,9
77
11
,97
21
1,9
65
11
,94
81
1,9
63
11
,99
31
2,0
11
12
,04
61
2,0
53
12
,05
91
2,0
65
11,250
11,500
11,750
12,000
12,250Ja
n-1
0F
eb
-10
Ma
r-1
0A
pr-
10
Ma
y-1
0Ju
n-1
0Ju
l-1
0A
ug
-10
Se
p-1
0O
ct-
10
No
v-1
0D
ec-1
0Ja
n-1
1F
eb
-11
Ma
r-1
1A
pr-
11
Ma
y-1
1Ju
n-1
1Ju
l-1
1A
ug
-11
Se
p-1
1O
ct-
11
No
v-1
1D
ec-1
1Ja
n-1
22
/30
/2M
ar-
12
Ap
r-1
2M
ay-1
2Ju
n-1
2Ju
l-1
2A
ug
-12
Se
p-1
2O
ct-
12
No
v-1
2D
ec-1
2Ja
n-1
3F
eb
-13
Ma
r-1
3A
pr-
13
Ma
y-1
3Ju
n-1
3Ju
l-1
3A
ug
-13
Se
p-1
3O
ct-
13
No
v-1
3D
ec-1
3Ja
n-1
4F
eb
-14
Manufacturing employment is a surprising source of strength in the economy. Employment in the sector is at a multi-year high.
*Seasonally adjusted; Jan. and Feb. 2014 are preliminary
Sources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
(Thousands) Since Jan 2010, manufacturing employment
is up (+605,000 or +5.3%)and still growing.
58
Nonfarm Payroll (Wages and Salaries):Quarterly, 2005–2013:Q4
Note: Recession indicated by gray shaded column. Data are seasonally adjusted annual rates.
Sources: http://research.stlouisfed.org/fred2/series/WASCUR; National Bureau of Economic Research (recession dates); Insurance Information Institute.
Billions
$5,500
$5,750
$6,000
$6,250
$6,500
$6,750
$7,000
$7,250
$7,5000
5:Q
1
05
:Q2
05
:Q3
05
:Q4
06
:Q1
06
:Q2
06
:Q3
06
:Q4
07
:Q1
07
:Q2
07
:Q3
07
:Q4
08
:Q1
08
:Q2
08
:Q3
08
:Q4
09
:Q1
09
:Q2
09
:Q3
09
:Q4
10
:Q1
10
:Q2
10
:Q3
10
:Q4
11
:Q1
11
:Q2
11
:Q3
11
:Q4
12
:Q1
12
:Q2
12
:Q3
12
:Q4
13
:Q1
13
:Q2
13
:Q3
13
:Q4
Prior Peak was 2008:Q1 at $6.60 trillion
Latest (2013:Q4) was $7.23 trillion, a new peak--$980B
above 2009 trough
Recent trough (2009:Q3) was $6.25 trillion, down
5.3% from prior peak
Payrolls are 15.7% above
their 2009 trough and up 2.0% over
the past year
58
59
2.5%
4.9%
6.3%
7.8%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
2013 2014F 2015F 2016F
Business Investment: Expected to Accelerate, Fueling Commercial Exposure Growth
Accelerating business investment will be a potent driver of
commercial property and liability insurance exposures and should drive employment and WC payroll
exposures as well (with a lag)
Source: IHS Global Insights as of Jan. 13, 2014; Insurance Information Institute.
50
.7 52
.7 54
.15
4.6
54
.85
3.5
53
.75
2.8 53
.95
4.6 56 5
7.1 5
9.4
59
.75
6.3
54
.45
3.3
53
.45
3.8
52
.65
2.6
52
.65
2.6
53
.05
6.8
56
.15
5.0
53
.75
4.1
52
.75
2.9 54
.3 55
.25
4.8
54
.85
5.7
55
.25
6.0
53
.15
3.7
52
.25
6.0
58
.65
4.4 55
.45
3.9
53
.0 54
.05
1.6
54
.4
40
45
50
55
60
65
Ja
n-1
0F
eb
-10
Ma
r-1
0A
pr-
10
Ma
y-1
0Ju
n-1
0Ju
l-1
0A
ug
-10
Se
p-1
0O
ct-
10
No
v-1
0D
ec-1
0Ja
n-1
1F
eb
-11
Ma
r-1
1A
pr-
11
Ma
y-1
1Ju
n-1
1Ju
l-1
1A
ug
-11
Se
p-1
1O
ct-
11
No
v-1
1D
ec-1
1Ja
n-1
2F
eb
-12
Ma
r-1
2A
pr-
12
Ma
y-1
2Ju
n-1
2Ju
l-1
2A
ug
-12
Se
p-1
2O
ct-
12
No
v-1
2D
ec-1
2Ja
n-1
3F
eb
-13
Ma
r-1
3A
pr-
13
Ma
y-1
3Ju
n-1
3Ju
l-1
3A
ug
-13
Se
p-1
3O
ct-
13
No
v-1
3D
ec-1
3Ja
n-1
4F
eb
-14
ISM Non-Manufacturing Index(Values > 50 Indicate Expansion)
January 2010 through February 2014
Non-manufacturing industries have been expanding and adding jobs. This trend is likely to continue through 2014.
Source: Institute for Supply Management at http://www.ism.ws/ismreport/nonmfgrob.cfm; Insurance Information Institute.
Optimism among non-manufacturers was hurt by
the uncertainty in Washington, but remains
resilient
60
61
43
,69
4
48
,12
5
69
,30
0
62
,43
6
64
,00
4
71
,27
7
81
,23
5
82
,44
6
63
,85
3
63
,23
5
64
,85
3
71
,54
9
70
,64
3
62
,30
4
52
,37
4
51
,95
9
53
,54
9
54
,02
7
44
,36
7
37
,88
4
35
,47
2
40
,09
9
38
,54
0
35
,03
7
34
,31
7
39
,20
1
19
,69
5
28
,32
2
43
,54
6
60
,83
7
56
,28
2
47
,80
6
40
,07
5
33
,21
2
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
Business Bankruptcy Filings,1980-2013
Sources: American Bankruptcy Institute (1980-2012) at http://www.abiworld.org/AM/AMTemplate.cfm?Section=Home&TEMPLATE=/CM/ContentDisplay.cfm&CONTENTID=61633; 2013 data from United States Courts at http://news.uscourts.gov; Insurance Information Institute.
Significant Exposure Implications for All Commercial Lines as Business Bankruptcies Begin to Decline
2013 bankruptcies totaled 33,212, down 17.1% from 2012—the fourth
consecutive year of decline. Business bankruptcies more than tripled during
the financial crisis.
% Change Surrounding Recessions
1980-82 58.6%
1980-87 88.7%
1990-91 10.3%
2000-01 13.0%
2006-09 208.9%
61
62
12 Industries for the Next 10 Years: Insurance Solutions Needed
Export-Oriented Industries
Health Sciences
Health Care
Energy (Traditional)
Alternative Energy
Petrochemical
Agriculture
Natural Resources
Technology (incl. Biotechnology)
Light Manufacturing
Insourced Manufacturing
Many industries are
poised for growth, though
insurers’ ability to
capitalize on these
industries varies widely
Shipping (Rail, Marine, Trucking, Pipelines)
U.S. Natural Has Imports and Exports, 1990 - 2040
Sources: US Energy Information Administration, Annual Energy Outlook 2014 Early Release Overview; ;Insurance Information Institute.63
Trillions of Cubic Feet
The US is now the largest gas producer in the world, though Russia is the
largest exporter. The US needs to
invest in its pipeline and
LNG infrastructure and expedite
regulatory approval to
realize its full export potential
U.S. Electricity Generation by Fuel,1990 - 2040
Sources: US Energy Information Administration, Annual Energy Outlook 2014 Early Release Overview; ;Insurance Information Institute.64
Trillions of kilowatt Hours
Electricity consumption in the US will rise steadily along with the fuel
shares of natural gas and
renewables
U.S. Primary Energy Consumption by Fuel, 1990 - 2040
Sources: US Energy Information Administration, Annual Energy Outlook 2014 Early Release Overview; ;Insurance Information Institute.65
Quadrillion BTUs
Energy consumption in the US will rise steadily with natural gas
fueling most of the additional consumption
U.S. Petroleum and Other Liquid Fuel Supplies by Source, 1990 - 2040
Sources: US Energy Information Administration, Annual Energy Outlook 2014 Early Release Overview; ;Insurance Information Institute.66
Millions of Barrels per Day
Liquid fuel consumption is
expected to change little
through 2040, though “tight” oil will account
for a much larger share
thereby reducing imports of petroleum products
67
Oil & Gas Extraction Employment,Jan. 2010—Feb. 2014*
*Seasonally adjusted
Sources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
15
6.4
15
6.4
15
6.7
15
7.6
15
8.7
15
7.8
15
8.0
15
9.5
16
0.0
16
1.5
16
1.2
16
1.2
16
3.1
16
4.4
16
6.6
16
9.3
17
0.1
17
1.0
17
2.5
17
3.6
17
6.3
17
8.2
17
8.5
18
0.9
18
1.9
18
3.1
18
4.8
18
5.2
18
5.7
18
6.8
18
7.6
18
8.0
18
8.0
18
8.2
19
0.0
19
1.7
19
1.9
19
3.4
19
2.4
19
2.6
19
3.1
19
3.3
19
5.0
19
6.5
19
9.7
20
0.6
20
3.0
20
4.1
20
6.1
20
7.8
150
160
170
180
190
200
210
220
Ja
n-1
0F
eb
-10
Ma
r-1
0A
pr-
10
Ma
y-1
0Ju
n-1
0Ju
l-1
0A
ug
-10
Se
p-1
0O
ct-
10
No
v-1
0D
ec-1
0Ja
n-1
1F
eb
-11
Ma
r-1
1A
pr-
11
Ma
y-1
1Ju
n-1
1Ju
l-1
1A
ug
-11
Se
p-1
1O
ct-
11
No
v-1
1D
ec-1
1Ja
n-1
22
/30
/2M
ar-
12
Ap
r-1
2M
ay-1
2Ju
n-1
2Ju
l-1
2A
ug
-12
Se
p-1
2O
ct-
12
No
v-1
2D
ec-1
2Ja
n-1
3F
eb
-13
Ma
r-1
3A
pr-
13
Ma
y-1
3Ju
n-1
3Ju
l-1
3A
ug
-13
Se
p-1
3O
ct-
13
No
v-1
3D
ec-1
3Ja
n-1
4F
eb
-14
Oil and gas extraction employment is up 32.9% since Jan. 2010 as the energy sector booms. Domestic energy production is essential to any robust economic recovery in
the US.
(Thousands)Highest
since Aug. 1986
68
The Future of Healthcare in America
P/C Insurers Are Increasingly Along for the Ride in the
American Health Care Saga
68
U.S. Health Care Expenditures,1965–2022F
$42
.0$
46
.3$
51
.8$
58
.8$
66
.2$
74
.9$83.2
$93
.1$
10
3.4
$11
7.2
$13
3.6
$15
3.0
$1
74
.0$
19
5.5
$22
1.7
$25
5.8
$2
96
.7$
33
4.7
$36
9.0
$40
6.5
$44
4.6
$47
6.9
$51
9.1
$58
1.7
$64
7.5
$72
4.3
$79
1.5
$85
7.9
$92
1.5
$97
2.7
$1,0
27
.4$
1,0
81
.8$
1,1
42
.6$
1,2
08
.9$
1,2
86
.5$
1,3
77
.2$
1,4
93
.3$
1,6
38
.0$
1,7
75
.4$
1,9
01
.6$
2,0
30
.5$
2,1
63
.3$
2,2
98
.3$
2,4
06
.6$
2,5
01
.2$
2,6
00
.0$
2,7
00
.7$
2,8
06
.6$
2,9
14
.7$
3,0
93
.2$
3,2
73
.4$
3,4
58
.3$
3,6
60
.4$
3,8
89
.1$
4,1
42
.4$
4,4
16
.2$
4,7
02
.0$
5,0
08
.8
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
U.S. health care expenditures have been on a relentless climb for most of the past half century, far outstripping population growth,
inflation of GDP growth
69
From 1965 through 2013, US health care expenditures had
increased by 69 fold. Population growth over the same period increased by a factor of just 1.6. By 2022, health spending will have
increased 119 fold.
$ Billions
Sources: Centers for Medicare & Medicaid Services, Office of the Actuary at http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-
Trends-and-Reports/NationalHealthExpendData/NationalHealthAccountsProjected.html accessed 3/14/14; Insurance Information Institute.
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
National Health Care Expenditures as a Share of GDP, 1965 – 2022F*
Sources: Centers for Medicare & Medicaid Services, Office of the Actuary at http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-
Trends-and-Reports/NationalHealthExpendData/NationalHealthAccountsProjected.html accessed 3/14/14; Insurance Information Institute.
1965
5.8%
Health care expenditures as a share
of GDP rose from 5.8% in 1965 to
18.0% in 2013 and are expected to
reach 19.9% of GDP by 2022
% of GDP
2022 19.9%
1980:
9.2%
1990:
12.5%
2000:
13.8%
2010:
17.9%
Since 2009, heath expenditures as a %
of GDP have flattened out at about 18%--the
question is why and will it last?
71
63.1%650.7%
2235.9%
6839.8%
0%
1000%
2000%
3000%
4000%
5000%
6000%
7000%
8000%
Population CPI GDP Health Care
Expenditures
Rate of Health Care Expenditure Increase Compared to Population, CPI and GDP
Accelerating business investment will be a potent driver of
commercial property and liability insurance exposures and should drive employment and WC payroll
exposures as well (with a lag)
Source: Insurance Information Institute research.
1965: 194.3 Mill
2013: 317.0 Mill
1965: $719.1 Bill
2013: $16,797.5 Bill
1965: $42.0 Bill
2013: $2,914.7 Bill
-1%
0%
1%
2%
3%
4%
5%
95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13
Change in Medical CPI CPI-All Items
Medical Cost Inflation vs. Overall CPI, 1995 - 2013
Sources: Med CPI from US Bureau of Labor Statistics, WC med severity from NCCI based on NCCI states.
Average Annual Growth Average
Healthcare: 3.8%
Overall CPI: 2.4%
Though moderating, medical inflation will continue to exceed inflation in the overall economy
4.5%
3.5%2.8%
3.2%3.5%4.1%
4.6%4.7%4.0%
4.4%4.2%4.0%4.4%
3.7%3.2%3.4%
3.0%
5.1%
7.4%
10.1%10.6%
13.5%
5.4%
7.8%
6.3%6.6%
4.1%3.6% 4%
3%
1.4%
5.4%
8.8%
7.7%
7.3%
8.3%
0%
2%
4%
6%
8%
10%
12%
14%
16%
95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12
Change in Medical CPI
Change Med Cost per Lost Time Claim
WC Medical Severity Generally Outpaces the Medical CPI Rate
Sources: Med CPI from US Bureau of Labor Statistics, WC med severity from NCCI based on NCCI states.
Average annual increase in WC medical severity form 1995 through 2011 was well above the medical CPI (6.8% vs. 3.8%), but
the gap is narrowing.
CYBER RISK
74
Cyber Risk is a Rapidly Emerging Exposure for Businesses Large
and Small in Every IndustryNEW III White Paper:
http://www.iii.org/assets/docs/pdf/paper_CyberRisk_2013.pdf
74
75
Audience Question: CYBER RISK
Do you see the market for cyber risk
insurance products as a major growth
opportunity for commercial insurers?
A. Yes—Cyber products represent one of the industry’s
brightest growth opportunities over the next several
years
B. No—Cyber products represent only limited growth
opportunities for insurers
C. Opportunities for insurers in the cyber insurance
market have been overly hyped
Data Breaches 2005-2013, by Number of Breaches and Records Exposed
# Data Breaches/Millions of Records Exposed
* 2013 figures as of Jan. 1, 2014 from the ITRC updated to an additional 30 million records breached (Target) as disclosed in Jan. 2014.Source: Identity Theft Resource Center.
157
321
446
656
498
419447
619662
87.9
17.322.9
35.7
19.1
66.9
222.5
16.2
127.7
100
200
300
400
500
600
700
2005 2006 2007 2008 2009 2010 2011 2012 2013*
0
20
40
60
80
100
120
140
160
180
200
220
# Data Breaches # Records Exposed (Millions)
The Total Number of Data Breaches (+38%) and Number of Records Exposed (+408%) in 2013 Soared
Millions
Shifting Legal Liability & Tort Environment
77
Is the Tort PendulumSwinging Against Insurers?
77
78
Over the Last Three Decades, Total Tort Costs as a % of GDP Appear Somewhat Cyclical, 1980-2013E
$0
$50
$100
$150
$200
$250
$300
80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10 12E
To
rt S
ys
tem
Co
sts
1.50%
1.75%
2.00%
2.25%
2.50%
To
rt Co
sts
as
% o
f GD
P
Tort Sytem Costs Tort Costs as % of GDP
($ Billions)
Sources: Towers Watson, 2011 Update on US Tort Cost Trends, Appendix 1A
Tort costs in dollar terms have remained high but relatively stable since the mid-2000s., but are down
substantially as a share of GDP
Deepwater Horizon Spike
in 2010
1.68% of GDP in 2013
2.21% of GDP in 2003
= pre-tort reform peak
79
Commercial Lines Tort Costs: Insured vs. Self-(Un)Insured Shares, 1973-2010
Billions of Dollars
$0
$20
$40
$60
$80
$100
$120
$140
$160
73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10
Self (Un) Insured Share
Insurer Share
Tort Costs and the Share Retained by Risks Both Grew Rapidly from the mid-1970s to mid-2000s, When Tort Costs Began to Fall But Self-
Insurance Shares Continued to Rise
$9.5
$15.0
$6.0
1973: Commercial Tort Costs
Totaled $6.49B, 94% was insured,
6% self-(un)insured
1985: $46.6B 74.5% insured,
25.5% self-(un)insured
1995: $83.6B 69.5% insured,
30.5% self-(un)insured
2005: $143.5B 66.4% insured,
33.6% self-(un)insured
2009: $126.5B 64.4% insured,
35.6% self-(un)insured
Sources: Towers Watson, 2011 Update on US Tort Cost Trends, III Calculations based on data from Appendix 4. 79
80
Commercial Lines Tort Costs: Insured vs. Self-(Un)Insured Shares, 1973-2010
Percent
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10
Self (Un) Insured Share
Insurer Share
The Share of Tort Costs Retained by Risks Has Been Steadily Increasing for Nearly 40 Years. This Trend Contributes Has Left
Insurers With Less Control Over Pricing.
1973: 94% was insured,
6% self-(un)insured
1985:74.5% insured,
25.5% self-(un)insured
1995: 69.5% insured,
30.5% self-(un)insured
2005: 66.4% insured,
33.6% self-(un)insured
2010: $138.1B 56.6% insured, 44.4% self-(un)insured
(distorted by Deepwater Horizon event with most losses retained by BP)
Sources: Towers Watson, 2011 Update on US Tort Cost Trends, III Calculations based on data from Appendix 4. 80
Business Leaders Ranking of Liability Systems in 2012
Best States
1. Delaware
2. Nebraska
3. Wyoming
4. Minnesota
5. Kansas
6. Idaho
7. Virginia
8. North Dakota
9. Utah
10. Iowa
Worst States
41. Florida
42. Oklahoma
43. Alabama
44. New Mexico
45. Montana
46. Illinois
47. California
48. Mississippi
49. Louisiana
50. West Virginia
Source: US Chamber of Commerce 2012 State Liability Systems Ranking Study; Insurance Info. Institute.
New in 2012
Wyoming
Minnesota
Kansas
Idaho
Drop-offs
Indiana
Colorado
Massachusetts
South Dakota
Newly Notorious
Oklahoma
Rising Above
Arkansas
81
82
The Nation’s Judicial Hellholes: 2012/2013
Source: American Tort Reform Association; Insurance Information Institute
West VirginiaIllinois
Madison County
New York
Albany and NYC
Watch List
Philadelphia, Pennsylvania
South Florida
Cook County, Illinois
New Jersey
Nevada
Louisiana
Dishonorable Mention
MO Supreme Court
WA Supreme Court
California
Maryland
Baltimore
83
P/C Insurance & Reinsurance Operating Environment
External and Internal Influences Exert Impacts
83
84
P/C (Re)Insurance Industry Financial Overview
2013: Best Year in the Post-Crisis Era
Performance Improved with Lower CATs, Strong Markets
84
P/C Net Income After Taxes1991–2013:Q3 ($ Millions)
2005 ROE*= 9.6%
2006 ROE = 12.7%
2007 ROE = 10.9%
2008 ROE = 0.1%
2009 ROE = 5.0%
2010 ROE = 6.6%
2011 ROAS1 = 3.5%
2012 ROAS1 = 5.9%
2013:9M ROAS1 = 9.5%
•ROE figures are GAAP; 1Return on avg. surplus. Excluding Mortgage & Financial Guaranty insurers yields a 8.9% ROAS through 2013:Q3, 6.2% ROAS in 2012, 4.7% ROAS for 2011, 7.6% for 2010 and 7.4% for 2009.
Sources: A.M. Best, ISO, Insurance Information Institute
$1
4,1
78
$5
,84
0
$1
9,3
16
$1
0,8
70
$2
0,5
98
$2
4,4
04 $
36
,81
9
$3
0,7
73
$2
1,8
65
$3
,04
6
$3
0,0
29
$6
2,4
96
$3
,04
3
$3
5,2
04
$1
9,4
56
$3
3,5
22
$4
3,0
29
$2
8,6
72
-$6,970
$6
5,7
77
$4
4,1
55
$2
0,5
59
$3
8,5
01
-$10,000
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13:9M
2013:9M ROAS
was 9.5%
Net income is up substantially (+54.7%) from
2012:Q3 $27.8B
-5%
0%
5%
10%
15%
20%
25%
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
:Q3
Profitability Peaks & Troughs in the P/C Insurance Industry, 1975 – 2013:Q3*
*Profitability = P/C insurer ROEs. 2011-13 figures are estimates based on ROAS data. Note: Data for 2008-2013 exclude
mortgage and financial guaranty insurers.
Source: Insurance Information Institute; NAIC, ISO, A.M. Best.
1977:19.0% 1987:17.3%
1997:11.6%2006:12.7%
1984: 1.8% 1992: 4.5%2001: -1.2%
9 Years
2011:
4.7%
History suggests next ROE
peak will be in 2016-2017
ROE
1975: 2.4%
2013:Q3 8.9%
A 100 Combined Ratio Isn’t What ItOnce Was: Investment Impact on ROEs
Combined Ratio / ROE
* 2008 -2013 figures are return on average surplus and exclude mortgage and financial guaranty insurers. 2013:9M combined ratio including M&FG insurers is 95.8; 2012 =103.2, 2011 = 108.1, ROAS = 3.5%.
Source: Insurance Information Institute from A.M. Best and ISO Verisk Analytics data.
97.5
100.6 100.1 100.8
92.7
101.299.5
101.0
96.6
102.4
106.5
95.7
14.3%
15.9%
12.7%
10.9%
7.4% 7.9%
4.7%
6.2%9.6%
8.8%
4.3%
8.9%
80
85
90
95
100
105
110
1978 1979 2003 2005 2006 2007 2008 2009 2010 2011 2012 2013:9M
0%
3%
6%
9%
12%
15%
18%
Combined Ratio ROE*
Combined Ratios Must Be Lower in Today’s DepressedInvestment Environment to Generate Risk Appropriate ROEs
A combined ratio of about 100 generates an ROE of ~7.0% in 2012, ~7.5% ROE in 2009/10,
10% in 2005 and 16% in 1979
Lower CATs are improved ROEs
in 2013
88
ROE: Property/Casualty Insurance vs. Fortune 500, 1987–2013E*
* Excludes Mortgage & Financial Guarantee in 2008 – 2013E. 2013 P/C ROE is through 2013:Q3. Sources: ISO, Fortune; Insurance Information Institute.
-5%
0%
5%
10%
15%
20%
87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13E
P/C Profitability Is Both by Cyclicality and Ordinary Volatility
Hugo
Andrew
Northridge
Lowest CAT Losses in 15 Years
Sept. 11
Katrina, Rita, Wilma
4 Hurricanes
Financial Crisis*
(Percent)
Record Tornado Losses
Sandy
89
ROE: ROEs by Industry vs. Fortune 500, 1987–2012*
* All figures are GAAP.Sources: ISO, Fortune; Insurance Information Institute.
-5%
0%
5%
10%
15%
20%
25%
87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12
US P/C Insurers All US Industries L/H Insurance Comm Banks Div Fin
(Percent)Average: 1987-2012
Diversified Finl: 15.0%
Commercial Banks: 13.1%
All Industries (F500): 13.4%
Life/Health Insurance: 8.8%
P/C Insurance: 7.6%
90
RNW All Lines by State, 2003-2012 Average:Highest 25 States
21
.0
17
.7
15
.1
14
.8
13
.4
13
.3
13
.1
12
.6
12
.0
11
.7
11
.4
11
.4
11
.4
11
.1
11
.0
11
.0
11
.0
10
.9
10
.9
10
.7
10
.7
10
.5
10
.3
10
.3
9.9
9.4
0
2
4
6
8
10
12
14
16
18
20
22
24
HI AK ND ME WY UT VT ID WA NH IA NE SC DC MA OR VA NC RI CA CT OH NM SD WV MT
Source: NAIC.
The most profitable states over the past decade are
widely distributed geographically, though none
are in the Gulf region
91
9.2
9.1
8.9
8.9
8.6
8.5
8.3
8.1
7.9
7.7
7.7
7.6
7.4
6.5
6.5
6.1
6.1
5.5
5.2
4.9
4.9
4.2
3.2
2.0
-6.5
-9.4
-14
-12
-10
-8
-6
-4-2
0
2
4
6
8
10
KS MD CO WI FL MN TX IN US AR PA IL AZ MO NV KY NJ GA NY MI TN DE OK AL MS LA
RNW All Lines by State, 2003-2012 Average:
Lowest 25 States
Source: NAIC.
Some of the least profitable states over the past decade were hit hard
by catastrophes
1. UNDERWRITING
92
Underwriting Losses in 2013 Much Improved After High
Catastrophe Losses in 2011/12
92
93
P/C Insurance Industry Combined Ratio, 2001–2013:Q3*
* Excludes Mortgage & Financial Guaranty insurers 2008--2012. Including M&FG, 2008=105.1, 2009=100.7, 2010=102.4, 2011=108.1; 2012:=103.2; 2013:Q3 = 95.8.
Sources: A.M. Best, ISO.
95.7
99.3100.8
106.3
102.4
96.6
101.0
92.6
100.898.4
100.1
107.5
115.8
90
100
110
120
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
:Q3
Best Combined
Ratio Since 1949 (87.6)
As Recently as 2001, Insurers Paid Out
Nearly $1.16 for Every $1 in Earned Premiums
Relatively Low CAT Losses, Reserve Releases
Heavy Use of Reinsurance Lowered Net
Losses
Relatively Low CAT Losses, Reserve Releases
Avg. CAT Losses,
More Reserve Releases
Higher CAT
Losses, Shrinking Reserve
Releases, Toll of Soft
Market
Cyclical Deterioration
Sandy Impacts
Lower CAT
Losses
94
Number of Years with Underwriting Profits by Decade, 1920s–2010s
0 0
3
1
5
4
8
10
7
6
0
2
4
6
8
10
12
1920s 1930s 1940s 1950s 1960s 1970s 1980s 1990s 2000s* 2010s**
* 2009 combined ratio excl. mort. and finl. guaranty insurers was 99.3, which would bring the 2000s total to 4 years with an u/w profit.
**Data for the 2010s is for the period 2010 through 2013.
Note: Data for 1920–1934 based on stock companies only.
Sources: Insurance Information Institute research from A.M. Best Data.
Number of Years with Underwriting Profits
Underwriting Profits Were Common Before the 1980s (40 of the 60 Years Before 1980 Had Combined Ratios Below 100) –
But Then They Vanished. Not a Single Underwriting Profit Was Recorded in the 25 Years from 1979 Through 2003
94
Underwriting Gain (Loss)1975–2013:Q3*
* Includes mortgage and financial guaranty insurers in all years.
Sources: A.M. Best, ISO; Insurance Information Institute.
Large Underwriting Losses Are NOT Sustainable in Current Investment Environment
-$55
-$45
-$35
-$25
-$15
-$5
$5
$15
$25
$35
75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 1213:Q3
Cumulative underwriting deficit from 1975 through
2012 is $510B
($ Billions) Underwriting profit in 2013:Q3 totaled $10.5B
High cat losses in 2011 led to the highest
underwriting loss since 2002
96
Combined Ratios by Predominant Business Segment, 2013:9M vs. 2012:9M*
*Excludes mortgage and financial guaranty insurers.
Source: ISO/PCI; Insurance Information Institute
99.899.3
98.8
102.7
96.6
97.6
93.3
99.2
90
92
94
96
98
100
102
104
All Lines Personal Lines
Predominating
Commercial Lines
Predominating
Diversified Insurers
2012:9M 2013:9M
(Percent)
The combined ratios for both personal and commercial lines
improved substantially through 2013:Q3
97
2
(2)
(8)
(3)
(7)
(10)(10)
(4)
(0)
11
24
14
119
(5)
(9)
(13)(12)
(10)
(14)(12)
(10)(7) (7)
-$20
-$15
-$10
-$5
$0
$5
$10
$15
$20
$25
$309
2
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
E
14
E
15
E
Pri
or
Yr.
Re
se
rve
Re
lea
se
($
B)
-6
-4
-2
0
2
4
6
8 Imp
ac
t on
Co
mb
ine
d R
atio
(Po
ints
)
Prior Yr. ReserveDevelopment ($B)
Impact onCombined Ratio(Points)
P/C Reserve Development, 1992–2015E
Note: 2005 reserve development excludes a $6 billion loss portfolio transfer between American Re and Munich Re. Including this transaction, total prior year adverse development in 2005 was $7 billion. The data from 2000 and subsequent years excludes development from financial guaranty and mortgage insurance.
Sources: A.M. Best, ISO, Barclays Research (estimates).
P/C Estimated Loss Reserve Deficiency/ (Redundancy), Excl. Statutory Discount
Line of Business 2013
Personal Auto Liability -$3.9B
Homeowners -$0.4
Other Liab (incl. Prod Liab) $7.5
Workers Compensation $11.1
Commercial Multi Peril $1.9
Commercial Auto Liability $0.7
Medical Professional Liab. -$3.5
Reinsurance—Nonprop Assumed $1.0
All Other Lines* -$4.6
Total Core Reserves $9.8
Asbestos & Environmental $11.2
Total P/C Industry $21.0B
Source: A.M. Best, P/C Review/Preview 2014; Insurance Information Institute. *Excluding mortgage and financial guaranty
segments.98
99
Performance by Segment
99
10
9.4
11
0.2
11
8.8
10
9.5
11
2.5
11
0.2
10
7.6
10
4.1
10
9.7
11
0.2
10
2.5 1
05
.4
91
.1
93
.6
10
4.2
98
.9
10
2.4
10
7.9
10
3.4
98
.3 99
.9
98
.9
10
2.0
11
1.1
11
2.3
12
2.3
90
95
100
105
110
115
120
125
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
F
14
F
15
F
Co
mm
erc
ial L
ine
s C
om
bin
ed
Ra
tio
*2007-2012 figures exclude mortgage and financial guaranty segments.
Source: A.M. Best (1990-2014F); Conning (2015F) Insurance Information Institute.
Commercial Lines Combined Ratio, 1990-2015F*
Commercial lines underwriting
performance is expected to improve as
improvement in pricing environment persists
100
Commercial Auto Combined Ratio: 1993–2015F
11
2.1
11
2.0
11
3.0
11
5.9
10
2.7
95
.2
92
.9
92
.1
92
.4 94
.3 96
.8 99
.1
97
.8
10
3.4 10
6.8
10
4.1
10
2.6
99
.8
11
8.1
11
5.7
11
6.2
80
85
90
95
100
105
110
115
120
125
95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F 14F 15F
Commercial Auto is Expected to Improve as Rate Gains Outpace Any Adverse Frequency and Severity Trends
101Sources: A.M. Best (1990-2014F);Conning (2015F); Insurance Information Institute.
Commercial Multi-Peril Combined Ratio: 1995–2015F
11
9.0
11
9.8
10
8.5
12
5.0
11
6.2
11
6.1
10
4.9
10
1.9
10
5.5
95
.4
97
.6
94
.2
96
.1
10
2.1
94
.0
10
0.7
11
6.8
11
3.6
11
5.3 1
22
.4
11
5.0
11
7.0
97
.3
89
.0
97
.7
93
.8
83
.8
89
.8
10
8.4
98
.7 10
2.5
12
0.1
11
2.0
10
1.0
99
.4
99
.0
11
3.1
11
5.0 1
21
.0
80
85
90
95
100
105
110
115
120
125
130
95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F 14F 15F
CMP-Liability CMP-Non-Liability
Commercial Multi-Peril Underwriting Performance is Expected to Improve in 2013 Assuming Normal Catastrophe Loss Activity
*2013F-2012F figures are Conning figures for the combined liability and non-liability components..Sources: A.M. Best; Conning; Insurance Information Institute.
102
General Liability Combined Ratio: 2005–2015F
11
2.9
95
.1 99
.0
94
.2
10
4.1
10
1.4
10
3.0
10
3.910
7.1 11
0.8
99
.8
80
85
90
95
100
105
110
115
05 06 07 08 09 10 11 12 13F 14F 15F
Commercial General Liability Underwriting Performance Has Been Volatile in Recent Years
Source: Conning Research and Consulting.103
Inland Marine Combined Ratio: 1999–2015F
101.9
92.8
100.2
83.8
77.379.5
93.3
89.3
86.2
97.796.7
93.2
89.6 89.5
80.882.5
89.9
70
75
80
85
90
95
100
105
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13F 14F 15F
Inland Marine is Expected to Remain Among the Most Profitable of All Lines
Sources: A.M. Best (1999-2011); Conning (2012-2015F)104
Other & Products Liability Combined Ratio: 1991–2013F
11
0.3
10
9.1
11
2.0
12
2.6
12
4.4
11
1.8
11
4.4
11
2.1
96
.3
99
.0
95
.1
10
5.4
10
9.8
10
0.5
10
3.6
10
6.3
12
5.51
32
.8
13
3.2
11
4.5
143.6
12
3.5
11
0.6
80
90
100
110
120
130
140
150
91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12E13F
Liability Lines Have Performed Better in the Post-Tort Reform Era (~2005), but There Has
Been Some Deterioration in Recent Years
Sources: A.M. Best ; Insurance Information Institute.105
10
3.7
10
8.0
96
.4 99
.8
10
6.6
10
7.9 1
15
.7
13
0.4 13
6.0
15
4.7
14
2.3
13
7.3
11
0.9
10
0.9
91
84
.3
77
.4
85
82
.0 87
.9 93
.3 95
.5 98
.9
10
1.0
12
7.9
70
80
90
100
110
120
130
140
150
160
170
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
E
14
F
15
F
Medical Malpractice Combined Ratio vs. All Lines Combined Ratio, 1991-2015F
Source: AM Best (1991-2014F); Conning (2015F) Insurance Information Institute.
MPL insurers in 2013 paid out an estimated $0.96 in loss and expense for every $1 they earned in premiums
In 2001, med mal insurers paid out $1.55 for every dollar earned
The dramatic improvement over the past decade has restored med
mal’s viability, though some deterioration is anticipated
106
107
U.S. Insured Catastrophe Loss Update
2013 Was a Welcome Respite from the
High Catastrophe Losses in Recent Years
107
108
$1
2.6
$1
1.0
$3
.8
$1
4.3
$1
1.6
$6
.1
$3
4.7
$7
.6
$1
6.3
$3
3.7
$7
3.4
$1
0.5
$7
.5
$2
9.2
$1
1.5
$1
4.4
$3
3.6
$3
5.0
$1
2.8
$1
4.0
$4
.8
$8
.0
$3
7.8
$8
.8
$2
6.4
$0
$10
$20
$30
$40
$50
$60
$70
$80
89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13*
U.S. Insured Catastrophe Losses
*Through 12/31/13.
Note: 2001 figure includes $20.3B for 9/11 losses reported through 12/31/01 ($25.9B 2011 dollars). Includes only business and personal property claims, business interruption and auto claims. Non-prop/BI losses = $12.2B ($15.6B in 2011 dollars.)
Sources: Property Claims Service/ISO; Insurance Information Institute.
2012 Was the 3rd Highest Year on Record for Insured Losses in U.S. History on an Inflation-Adj. Basis. 2011 Losses Were the 6th Highest. YTD 2013 Running Well
Below 2011 and 2012 YTD Totals.
2012 was the third most expensive year ever for insured CAT
losses
Record tornado losses caused
2011 CAT losses to surge
($ Billions, $ 2012)
108
Insurers Making a Difference in Impacted Communities
Source: Insurance Information Institute 109
Destroyed home in Tuscaloosa. Insurers will pay some 165,000 claims totaling $2 billion in the Tuscaloosa/
Birmingham areas alone.
Presentation of a check to Tuscaloosa Mayor Walt
Maddox to the Tuscaloosa Storm Recovery Fund
Presentation of a check to Moore, OK,
Public School Relief Fund
110
Combined Ratio Points Associated with Catastrophe Losses: 1960 – 2013*
*2010s represent 2010-2013.
Notes: Private carrier losses only. Excludes loss adjustment expenses and reinsurance reinstatement premiums. Figures are adjusted for losses ultimately paid by foreign insurers and reinsurers.
Source: ISO (1960-2011); A.M. Best (2012E) Insurance Information Institute.
0.4
1.2
0.4 0
.8 1.3
0.3
0.4 0
.71
.51
.00
.40
.4 0.7
1.8
1.1
0.6
1.42
.01
.32
.00
.50
.5 0.7
3.0
1.2
2.1
8.8
2.3
5.9
3.3
2.8
1.0
3.6
2.9
1.6
5.4
1.6
3.3
3.3
8.1
2.7
1.6
5.0
2.6
3.4
8.7 8.9
3.43.6
0.9
0.1
1.1
1.1
0.8
0
1
2
3
4
5
6
7
8
9
10
19
60
19
62
19
64
19
66
19
68
19
70
19
72
19
74
19
76
19
78
19
80
19
82
19
84
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
20
10
20
12
The Catastrophe Loss Component of Private Insurer Losses Has Increased Sharply in Recent Decades
Avg. CAT Loss Component of theCombined Ratio
by Decade
1960s: 1.04 1970s: 0.85 1980s: 1.31 1990s: 3.39 2000s: 3.52 2010s: 6.1E*
Combined Ratio Points Catastrophe losses as a share of all losses reached
a record high in 2012
111
Top 10 States for InsuredCatastrophe Losses, 2013
$1,995
$1,509
$1,190
$909 $907$805 $773 $762
$677$593
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
Okl
ahoma
Texas
Illin
ois
Min
nesota
Colo
rado
Mis
siss
ippi
Neb
raska
Geo
rgia
India
na
Louis
iana
Source: The Property Claim Services (PCS) unit of ISO, a Verisk Analytics company.
$ Millions
Oklahoma let the country in insured CAT losses in 2013
112
$9,756
$6,369
$2,318$1,511 $1,440
$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
New York New Jersey Texas Kentucky Colorado
*Includes catastrophe losses of at least $25 million.
Sources: PCS unit of ISO; Insurance Information Institute.
Top 5 States by Insured Catastrophe Losses in 2012*
NY and NJ let the US in CAT losses in 2012 due Sandy
(2012, $ Billions)
113
Top States by Inflation-Adjusted Insured Catastrophe Losses, 1983–2012
9.0%
10.4%
14.3%
66.3%
Source: PCS unit of ISO, Verisk Company.; Insurance Information Institute.
Over the Past 30 Years Florida Has Accounted for the Largest Share of Catastrophe Losses in the U.S., Followed by Texas and Louisiana
Rest of the U.S.$309.9BFlorida
$66.7B
Texas$48.8B
Louisiana$42.0B
Total: $467.5 Billion, an average of
$16.6B per year or $1.3B per month
FL is the most costly state for
CATs, with nearly $67B in insured losses
over the past 30 years
114
Inflation Adjusted U.S. Catastrophe Losses by Cause of Loss, 1993–20121
0.1%
1.7%
3.8%4.7%
6.3%
7.1%
36.0%
40.4%
1. Catastrophes are defined as events causing direct insured losses to property of $25 million or more in 2012 dollars.
2. Excludes snow.
3. Does not include NFIP flood losses
4. Includes wildland fires
5. Includes civil disorders, water damage, utility disruptions and non-property losses such as those covered by workers compensation.
Source: ISO’s Property Claim Services Unit.
Hurricanes & Tropical Storms, $158.2
Fires (4), $6.5
Tornadoes (2), $140.9
Winter Storms, $27.8
Terrorism, $24.8
Geological Events, $18.4
Wind/Hail/Flood (3), $14.9
Other (5), $0.2
Wind losses are by far cause the most catastrophe losses,
even if hurricanes/TS are excluded.
Tornado share of CAT losses is
rising
Insured cat losses from 1993-2012
totaled $391.7B, an average of $19.6B per year or $1.6B
per month
115
Top 16 Most Costly Disastersin U.S. History
(Insured Losses, 2012 Dollars, $ Billions)
$7.8 $8.7 $9.2$11.1
$13.4
$18.8$23.9 $24.6$25.6
$48.7
$7.5$7.1$6.7$5.6$5.6$4.4
$0
$10
$20
$30
$40
$50
$60
Irene (2011) Jeanne
(2004)
Frances
(2004)
Rita
(2005)
Tornadoes/
T-Storms
(2011)
Tornadoes/
T-Storms
(2011)
Hugo
(1989)
Ivan
(2004)
Charley
(2004)
Wilma
(2005)
Ike
(2008)
Sandy*
(2012)
Northridge
(1994)
9/11 Attack
(2001)
Andrew
(1992)
Katrina
(2005)
Hurricane Sandy became the 5th
costliest event in US insurance history
Hurricane Irene became the 12th most expense hurricane
in US history in 2011
Includes Tuscaloosa, AL,
tornado
Includes Joplin, MO, tornado
12 of the 16 Most Expensive Events in US History Have
Occurred Over the Past Decade
*PCS estimate as of 4/12/13.
Sources: PCS; Insurance Information Institute inflation adjustments to 2012 dollars using the CPI.
116
Top 16 Most Costly World Insurance Losses, 1970-2013*
(Insured Losses, 2012 Dollars, $ Billions)
*Figures do not include federally insured flood losses.
**Estimate based on PCS value of $18.75B as of 4/12/13.
Sources: Munich Re; Swiss Re; Insurance Information Institute research.
$11.1$13.4 $13.4$13.4
$18.8$23.9 $24.6$25.6
$38.6
$48.7
$7.8 $8.1 $8.5 $8.7 $9.2 $9.6
$0
$10
$20
$30
$40
$50
$60
Hugo
(1989)
Winter
Storm
Daria
(1991)
Chile
Quake
(2010)
Ivan
(2004)
Charley
(2004)
Typhoon
Mirielle
(1991)
Wilma
(2005)
Thailand
Floods
(2011)
New
Zealand
Quake
(2011)
Ike
(2008)
Sandy
(2012)**
Northridge
(1994)
WTC
Terror
Attack
(2001)
Andrew
(1992)
Japan
Quake,
Tsunami
(2011)**
Katrina
(2005)
5 of the top 14 most expensive catastrophes in
world history have occurred within the past 3 years
(2010-2012)
Hurricane Sandy is now the 6th costliest event in global
insurance history
2012 insured CAT Losses totaled $60B; Economic losses totaled $140B, according to Swiss Re
117
Top 12 Most Costly Hurricanesin U.S. History
(Insured Losses, 2012 Dollars, $ Billions)
*PCS estimate as of 4/12/13.
Sources: PCS; Insurance Information Institute inflation adjustments to 2012 dollars using the CPI.
$9.2$11.1
$13.4
$18.8
$25.6
$48.7
$8.7$7.8$6.7$5.6$5.6$4.4
$0
$10
$20
$30
$40
$50
$60
Irene
(2011)
Jeanne
(2004)
Frances
(2004)
Rita
(2005)
Hugo
(1989)
Ivan
(2004)
Charley
(2004)
Wilma
(2005)
Ike
(2008)
Sandy*
(2012)
Andrew
(1992)
Katrina
(2005)
Hurricane Sandy became the 3rd costliest hurricane in US
insurance historyHurricane Irene
became the 12th most expensive hurricane in US history in 2011
10 of the 12 most costly hurricanes in insurance
history occurred over the past 9 years (2004—2012)
118
Total Value of Insured Coastal Exposure in 2012
(2012, $ Billions)
Source: AIR Worldwide
$293.5
$239.3
$182.3
$164.6
$163.5
$118.2
$106.7
$81.9
$64.0
$60.6
$58.3
$17.3
$567.8
$713.9
$849.6
$1,175.3
$2,862.3
$2,923.1
$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500
New York
Florida
Texas
Massachusetts
New Jersey
Connecticut
Louisiana
S. Carolina
Virginia
Maine
North Carolina
Alabama
Georgia
Delaware
New Hampshire
Mississippi
Rhode Island
Maryland
In 2012, New York Ranked as the #1 Most Exposed State to Hurricane Loss, Overtaking Florida with $2.862 Trillion. Texas is very exposed too, and
ranked #3 with $1.175 Trillionin insured coastal exposure
The Insured Value of All Coastal Property Was $10.6 Trillion in 2012 , Up 20% from $8.9 Trillion in 2007 and
Up 48% from $7.2 Trillion in 2004
NY and FL lead the US in the value of insured coastal exposure at $2.9 Trillion
119
Total Value of Insured Coastal Exposure in 2007
(2007, $ Billions)
Source: AIR Worldwide
$224.4
$191.9
$158.8
$146.9
$132.8
$92.5
$85.6
$60.6
$55.7
$51.8
$54.1
$14.9
$479.9
$635.5
$772.8
$895.1
$2,378.9
$2,458.6
$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000
Florida
New York
Texas
Massachusetts
New Jersey
Connecticut
Louisiana
S. Carolina
Virginia
Maine
North Carolina
Alabama
Georgia
Delaware
New Hampshire
Mississippi
Rhode Island
Maryland
In 2007, Florida Still Ranked as the #1 Most Exposed State to Hurricane Loss, with
$2.459 Trillion Exposure, but Texas is very exposed too, and ranked #3 with $895B
in insured coastal exposure
The Insured Value of All Coastal Property Was $8.9 Trillion in 2007, Up 24% from $7.2 Trillion in 2004
120
$6,558$10,994
$44,563
$57,277
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
Homeowners* Vehicle Commercial NFIP Flood**
Commercial (i.e., business claims) are more expensive
because the value of property is often higher as well as the impact of insured business
interruption losses
*Includes rental and condo policies (excludes NFIP flood). **As of Oct. 31, 2013.
Sources: Catastrophe loss data is for Catastrophe Serial No. 90 (Oct. 28 – 31, 2012) from PCS as of March 2013; Insurance Information Institute.
Hurricane Sandy: Average Claim Payment by Type of Claim
The average insured flood loss was nearly 9 times larger than the average non-flood insured loss
(mostly wind)
Post-Sandy, the I.I.I. worked very hard to make help media, consumers and regulators understand the distinction between a flood claim and a
standard homeowners claim. NFIP is $24B in debt.
121
Total Potential Home Value Exposure to Storm Surge Risk in 2013*
($ Billions)
*Insured and uninsured property. Based on estimated property values as of April 2013.
Source: Storm Surge Report 2013, CoreLogic.
$65.2$51.0$50.3
$35.0$22.4$20.5
$15.9$10.4$7.2$4.7$3.1$2.7$2.6$0.6
$65.6$72.0$78.0
$118.8$135.0
$386.5
$0 $50 $100 $150 $200 $250 $300 $350 $400 $450
FloridaNew York
New JerseyVirginia
LouisianaS. CarolinaN. Carolina
TexasMassachusetts
ConnecticutMarylandGeorgia
DelawareMississippi
Rhode IslandAlabama
MaineNew
PennsylvaniaDC
The Value of Homes Exposed to Storm Surge was $1.147 Trillion in 2013.* Only a fraction of this is insured, hence the huge demand for federal aid
following major coastal flooding events.
Florida is by the state most vulnerable to storm surge.
Period Area
Economic Loss (in inflation-
adjusted 2013 $US mill)
Insured Loss (in
inflation-adjusted
2013 $US mill) Fatalities
Mar. 11-14, 1993 CAN, USA 8,061 3,224 270
Dec. 17-30,1983 USA 2,339 2,058 500
Apr. 13-17, 2007 CAN, USA 2,247 1,775 23
Dec. 10-13, 1992 USA 4,981 1,660 19
Jan. 5-12, 1998 CAN, USA 4,145 1,644 45
Feb. 10-12, 1994 USA 4,716 1,258 9
Jan. 17-20, 1994 USA 1,572 1,258 70
Apr. 7-11, 2013 USA 1,600 1,200 N/A
Jan. 1-4, 1999 CAN, USA 1,398 1,084 25
Jan. 31-Feb. 2, 2011 USA 1,346 1,010 36
*Top 10 events in original insured loss dollars were adjusted to and ranked by the Insurance Information Institute to 2013 inflation-adjusted values.
Sources: Munich Re NatCatSERVICE; Insurance Information Institute.
Top 10 Winter Storm and Winter Damage Events in the US and Canada, 1980-2013*
Ranked by Insured Loss, in Millions of $ 2013*
123Sources: Munich Re NatCatSERVICE; Insurance Information Institute.
Winter Storm and Winter Damage Events in the US and Canada, 1980-2013 (2013 US$)
Three of the four most costly years ever for insured losses
from winter storms and damage occurred in the 1990s, led by the “Storm of the Century” in 1993.
Insured losses from
severe winter events
totaled $2 billion in
2013.
Insured winter storm and damage losses in Jan. 2014 already totaled $1.5 billion. Continued severe weather since then makes it likely that
2014 will become one of the top 5 costliest winters since 1980.
Insured Losses (Millions, $ 2013)
5-year running average
As of December 31,
2013
Number of
Events Fatalities
Estimated Overall
Losses (US $m)
Estimated Insured
Losses (US $m)
Severe
Thunderstorm69 110 16,341 10,274
Winter Storm 11 43 2,935 1,895
Flood 19 23 1,929 240
Earthquake &
Geophysical6 1 Minor Minor
Tropical Cyclone 1 1 Minor Minor
Wildfire, Heat, &
Drought22 29 620 385
Totals 128 207 21,825 12,794
Natural Disaster Losses in the United States, by Type, 2013
124Source: Munich Re NatCatSERVICE 124
Date Event
Estimated Economic
Losses (US $m)
Estimated Insured
Losses (US $m)
February 24 – 25 Winter Storm 1,300 690
March 18 – 19 Thunderstorms 2,200 1,600
April 7 – 11 Winter Storm 1,600 1,200
April 16 – 18 Thunderstorms 1,100 560
May 18 – 20 Thunderstorms 3,100 1,800
May 28 – 31 Thunderstorms 2,800 1,400
August 6 – 7 Thunderstorms 1,300 740
September 9 – 16 Flooding 1,500 160
November 17 - 18 Thunderstorms 1,300 931
Source: Munich Re NatCatSERVICE 125
Significant Natural Catastrophes, 2013(Events with $1 billion economic loss and/or 50 fatalities)
U.S. Thunderstorm Insured Loss Trends, 1980 – 2013
126Source: Property Claims Service, and MR NatCatSERVICE
Thunderstorm losses in 2013 totaled $10.3 billion, the 6th
highest on record
Average
thunderstorm
losses are up 7 fold
since the early
1980s. The 5-year
running average
loss is up sharply
Hurricanes get all the headlines,
but thunderstorms are consistent
producers of large scale loss.
2008-2013 are the most expensive
years on record.
127
Insured Homeowners Losses Dueto Lightning, 2004-2012
$735.5
$819.6
$882.2
$942.4
$1,065.5
$798.0
$1,033.5
$952.5$969.0
$500
$600
$700
$800
$900
$1,000
$1,100
2004 2005 2006 2007 2008 2009 2010 2011 2012
Source: Insurance Information Institute.
The Increased Number and Value of Expensive Electronic Devices in Homes is Pushing the Total Lightning Claim Costs Up Even as
the Number of Lightning Claims Falls
$ Millions
Lightning claims cost insurers an estimated $969 million in 2012, 31.7% from $735.5
million in 2004
Nu
mb
er
Geophysical
(earthquake, tsunami,
volcanic activity)
Climatological
(temperature extremes,
drought, wildfire)
Meteorological (storm)
Hydrological
(flood, mass movement)
Natural Disasters in the United States, 1980 – 2013Number of Events (Annual Totals 1980 – 2013)
Source: MR NatCatSERVICE 128
22
19
81
6
50
100
150
200
250
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
There were 128 natural disaster events in 2013
Number of Acres Burned in Wildfires, 1980 – 2013
Source: National Interagency Fire Center 129
TX experienced significant wildfire losses in 2011 (Bastrop fire insured losses ~$500 million)
Losses Due to Natural Disasters in the US, 1980–2013
130
Overall losses (in 2012 values) Insured losses (in 2013 values)
Source: MR NatCatSERVICE
(2013 Dollars, $ Billions) (Overall and Insured Losses)
50
100
150
200
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
2013 CAT Losses
Overall : $21.8B
Insured: $12.8B
Indicates a great deal of losses are uninsured (~40%-50% in the US) =
Growth Opportunity
2013 losses were far below 2011 and 2012 and were 44% lower
than the average from 2000-2012
The current 5-year average (2008 - 2013) insured tropical
cyclone loss is $5.6 billion per year.
Insured US Tropical Cyclone Losses, 1980 - 2013
Sources: Property Claims Service, Munich Re NatCatSERVICE, NFIP 131
132
The combined ratios for both personal and commercial lines
improved substantially in 2013:H1
U.S. Residual Market: Total Policies In-Force (1990-2012) (000)
Source: PIPSO; Insurance Information Institute
931.6
1,785.0
1,458.1
1,196.5
1,741.7
2,841.4
3,311.83,227.3
2,479.4
1,319.7
2,621.32,780.6
1,642.3
2,840.4
2,209.32,203.9
0
500
1,000
1,500
2,000
2,500
3,000
3,500
1990 1995 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
(000)
Hurricane Andrew
4 Florida Hurricanes
Katrina, Rita and Wilma
In the 23-year period between 1990 and 2012, the total number of policies in-force in the residual market (FAIR & Beach/Windstorm) Plans has more than tripled.
Hurricane Sandy
133
U.S. Residual Market Exposure to Loss(1990-2012) ($ Billions)
Source: PIPSO; Insurance Information Institute (I.I.I.).
$281.8
$884.7
$757.9$818.1
$430.5$372.3
$54.7
$150.0
$292.0$244.2
$221.3
$419.5
$656.7 $696.4
$771.9
$703.0
$0
$100
$200
$300
$400
$500
$600
$700
$800
$900
$1,000
1990 1995 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
($ Billions)
In the 23-year period between 1990 and 2012, total exposure to loss in the residual market (FAIR & Beach/Windstorm) Plans has surged from $54.7
billion in 1990 to $818.1 billion in 2012.
Hurricane Andrew
4 Florida Hurricanes
Katrina, Rita and Wilma
Hurricane Sandy
Homeowners Insurance Catastrophe-Related Claim Frequency and Severity, 1997—2012*
*All policy forms combined, countrywide.
Source: Insurance Research Council, Trends in Homeowners Insurance Claims, Sept. 2012 from ISO Fast Track data. 134
Avg. catastrophe claim cost rose
approximately 200% from 1997-2011
Cat claim frequency in 2011 was at historic highs and more than
double the rate in 1997
Source: Munich Re Geo Risks Research, NatCatSERVICE – as of January 2014. 135
Geophysical events
(earthquake, tsunami, volcanic activity)
Meteorological events
(storm)
Hydrological events
(flood, mass movement)
Climatological events
(extreme temperature, drought, wildfire)
Extraterrestrial events
(Meteorite impact)
880
Loss events
EarthquakeChina, 20 April
Severe storms,
tornadoesUSA, 18–22 May
FloodsIndia, 14–30 June
HailstormsGermany,
27–28 July
Winter Storm Christian (St. Jude)Europe, 27–30 October
Typhoon HaiyanPhilippines,
8–12 NovemberSevere storms, tornadoesUSA, 28–31 May
Hurricanes Ingrid &
ManuelMexico, 12–19 September
FloodsCanada, 19–24 June
FloodsEurope,
30 May–19 June
Heat waveIndia, April–June
Typhoon FitowChina, Japan,
5–9 October
Earthquake (series)Pakistan, 24–28 September
FloodsAustralia,
21–31 January
Meteorite impactRussian Federation, 15
FebruaryFlash floodsCanada, 8–9 July
FloodsUSA, 9–16 September
Geophysical events
(earthquake, tsunami, volcanic activity)
Meteorological events
(storm)
Selection of significant
Natural catastrophes
Natural catastrophes Hydrological events
(flood, mass movement)
Climatological events
(extreme temperature, drought, wildfire)
Natural Loss Events:Full Year 2013
World Map
Geophysical
(earthquake, tsunami,
volcanic activity)
Climatological
(temperature extremes,
drought, wildfire)
Meteorological (storm)
Hydrological
(flood, mass movement)
Natural Disasters Worldwide,1980 – 2013 (Number of Events)
Source: MR NatCatSERVICE136
Nu
mb
er
200
400
600
800
1 000
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
There were 880 natural disaster events globally in
2013 compared to 905 in 2012
Losses Due to Natural Disasters Worldwide, 1980–2013 (Overall & Insured Losses)
137
Overall losses (in 2013 values) Insured losses (in 2013 values)
Source: MR NatCatSERVICE
(2013 Dollars, $ Billions)(Overall and Insured Losses)
100
200
300
400
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
US$ bn
2013 Losses
Overall : $125B
Insured: $34B
There is a clear upward trend in both insured and overall losses over the past
30+ years
10-Yr. Avg. Losses
Overall : $184B
Insured: $56B
Flood Insurance
138
Biggert-Waters 2012 Created Opportunity for Private Insurers
2014 Backtracking on Those Reforms Reduces Opportunities
139
$6,558$10,994
$44,563
$57,277
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
Homeowners* Vehicle Commercial NFIP Flood**
Commercial (i.e., business claims) are more expensive
because the value of property is often higher as well as the impact of insured business
interruption losses
*Includes rental and condo policies (excludes NFIP flood). **As of Oct. 31, 2013.
Sources: Catastrophe loss data is for Catastrophe Serial No. 90 (Oct. 28 – 31, 2012) from PCS as of March 2013; Insurance Information Institute.
Hurricane Sandy: Average Claim Payment by Type of Claim
The average insured flood loss was nearly 9 times larger than the average non-flood insured loss
(mostly wind)
Post-Sandy, the I.I.I. worked very hard to make help media, consumers and regulators understand the distinction between a flood claim and a
standard homeowners claim. NFIP is $24B in debt.
140
Total Potential Home Value Exposure to Storm Surge Risk in 2013*
($ Billions)
*Insured and uninsured property. Based on estimated property values as of April 2013.
Source: Storm Surge Report 2013, CoreLogic.
$65.2$51.0$50.3
$35.0$22.4$20.5
$15.9$10.4$7.2$4.7$3.1$2.7$2.6$0.6
$65.6$72.0$78.0
$118.8$135.0
$386.5
$0 $50 $100 $150 $200 $250 $300 $350 $400 $450
FloridaNew York
New JerseyVirginia
LouisianaS. CarolinaN. Carolina
TexasMassachusetts
ConnecticutMarylandGeorgia
DelawareMississippi
Rhode IslandAlabama
MaineNew
PennsylvaniaDC
The Value of Homes Exposed to Storm Surge was $1.147 Trillion in 2013.* Only a fraction of this is insured, hence the huge demand for federal aid
following major coastal flooding events.
Florida is by the state most vulnerable to storm surge.
141
I.I.I. Poll: Flood Insurance
Q. Do you think it is fair that flood insurance premium increases are higher if people who live in high flood risk areas and rebuild their homes do not elevate them?
Source: Insurance Information Institute Annual Pulse Survey.
Almost two-thirds of Americans think that it is fair that flood insurance premiums be raised for people who live in high flood risk areas and rebuild their homes after a flood but do not elevate them.
6%
63%
31%
Don’t know
Yes
No
Terrorism Update
142
Down to the Wire? Boston Bombings Underscore the Need for Extension of the Terrorism Risk Insurance Program
Download III’s Terrorism Insurance Report at: http://www.iii.org/white_papers/terrorism-
risk-a-constant-threat-2013.html
142
Life
$1.2 (3%)
Aviation
Liability
$4.3 (11%)
Other
Liability
$4.9 (12%)
Biz
Interruption
$13.5 (33%)
Property -
WTC 1 & 2*
$4.4 (11%) Property -
Other
$7.4 (19%)
Aviation Hull
$0.6 (2%)
Event
Cancellation
$1.2 (3%)
Workers
Comp
$2.2 (6%)
Total Insured Losses Estimate: $40.0B***Loss total does not include March 2010 New York City settlement of up to $657.5 million to compensate approximately 10,000 Ground Zero workers or any subsequent settlements.
**$32.5 billion in 2001 dollars.
Source: Insurance Information Institute.
Loss Distribution by Type of Insurancefrom Sept. 11 Terrorist Attack ($ 2011)
($ Billions)
144
Terrorism Insurance Take-up Rates,By Year, 2003-2012
Source: Marsh Global Analytics, 2013 Terrorism Risk Insurance Report, May 2013.
27%
49%
58% 59% 59%57%
61% 62%64%
62%
0%
10%
20%
30%
40%
50%
60%
70%
80%
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
In 2003, the first year TRIA was in effect, the terrorism take-up rate was 27 percent. Since then, it has increased steadily, remaining in the
low 60 percent range since 2009.
Take-up rates for smaller commercial risks are lower—
potentially very low in some areas and industries
145
Terrorism Risk Insurance Program
Testified before Senate Banking Cmte. in Sept. 2013
Testified before House Financial Services Nov. 2013
Provided testimony at NYC hearing on June 2013
I.I.I. Accelerated Planned Study on Terrorism Risk and Insurance in the Wake of Boston and Hearings; Was Well Received and Widely Circulated
Working with Trades, Congressional Staff, GAO & Others
Senate Banking Committee, 9/25/13House Financial Services
Subcommittee, 11/13/13
SURPLUS/CAPITAL/CAPACITY
146
2013 Recorded Yet Another Record High in the Primary and Reinsurance Sectors
146
147
Policyholder Surplus, 2006:Q4–2013:Q3
Sources: ISO, A.M .Best.
($ Billions)
$487.1$496.6
$512.8$521.8
$478.5
$455.6
$437.1
$463.0
$490.8
$511.5
$540.7$530.5
$544.8
$559.2 $559.1
$538.6
$550.3
$567.8
$583.5$586.9
$607.7$614.0
$624.4
$570.7$566.5
$505.0$515.6$517.9
$400
$450
$500
$550
$600
$650
06:Q
4
07:Q
1
07:Q
2
07:Q
3
07:Q
4
08:Q
1
08:Q
2
08:Q
3
08:Q
4
09:Q
1
09:Q
2
09:Q
3
09:Q
4
10:Q
1
10:Q
2
10:Q
3
10:Q
4
11:Q
1
11:Q
2
11:Q
3
11:Q
4
12:Q
1
12:Q
2
12:Q
3
12:Q
4
13:Q
1
13:Q
2
13:Q
3
2007:Q3Pre-Crisis Peak
Surplus as of 9/30/13 stood at a record high $624.4B
2010:Q1 data includes $22.5B of
paid-in capital from a holding
company parent for one insurer’s
investment in a non-insurance
business .
The industry now has $1 of surplus for every $0.78 of NPW,close to the strongest claims-paying status in its history.
Drop due to near-record 2011 CAT losses
The P/C insurance industry entered 2014in very strong financial condition.
$0
$50
$100
$150
$200
$250
$300
$350
$400
$450
$500
$550
$600
$650
$700
75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13*
US Policyholder Surplus:1975–2013*
* As of 9/30/13.
Source: A.M. Best, ISO, Insurance Information Institute.
“Surplus” is a measure of underwriting capacity. It is
analogous to “Owners Equity” or “Net Worth” in non-
insurance organizations
($ Billions)
The Premium-to-Surplus Ratio Stood at $0.78:$1 as of9/30/13, a Near Record Low (at Least in Recent History)*
Surplus as of 9/30/13 was a record $624.4, up 6.4% from $586.9 of 12/31/12, and up 42.9% ($187.3B) from the crisis trough of $437.1B at 3/31/09. Pre-
crisis peak was $521.8 as of 9/30/07. Surplus as of 9/30/13 was 19.7% above 2007 peak.
149
U.S. INSURANCE MERGERS AND ACQUISITIONS, 2002-2012 (1)
$9,704
$59,925
$14,878
$50,793
$43,022
$50,417
$31,435
$14,373
$46,509
$54,724
$43,152
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Tra
ns
ac
tio
n v
alu
es
0
100
200
300
400
500
600
Nu
mb
er o
f tran
sa
ctio
ns
($ Millions)
(1) Includes transactions where a U.S. company was the acquirer and/or the target.
Source: Conning proprietary database.
M&A activity has returned to its pre-crisis levels.
150
REINSURANCE MARKET CONDITIONS
Ample Capacity as Alternative Capital is
Transforming the Market
150
151
Global Reinsurer Capital, 2007-2013:H1*
$510
$410
$340
$400
$470 $455
$505
$0
$100
$200
$300
$400
$500
$600
2007 2008 2009 2010 2011 2012 2013:H1
*Includes both traditional and non-traditional forms of reinsurance capital.
Source: Aon Benfield Aggregate study for the 6 months ending June 2013; Insurance Information Institute.
($ Billions)
Global Reinsurance Capital Has Been Trending Generally Upward Since the Global Financial Crisis, a Trend that Seems Likely to Continue
-17%
+18%
+18% -3%
+11% +1%
60
80
100
120
140
160
180
200
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 1Q13
US
D b
n
Soft market
Hard market
Hard market softening
Crisis
Excess capital
Long-Term Evolution of Shareholders’ Funds for the Guy Carpenter Global Reinsurance Composite
Source: Guy Carpenter
Reinsurance Pricing: Rate-on-Line Index by Region, 1990 – 2014*
*As of Jan. 1.
Source: Guy Carpenter
Lower CATs and a flood of new
capital has pushed reinsurance
pricing down in most regions,
including the US
Alternative Capacity as a Percentage of Global Property Catastrophe Reinsurance Limit
Source: Guy Carpenter
(As of Year End)
Alternative Capacity accounted for approximately 14% or $45 billion
of the $316 in global property catastrophe reinsurance capital as
of mid-2013 (expected to rise to ~15% by year-end 2013)
155155Sources: Guy Carpenter and A.M. Best; Insurance Information Institute .
Sources of Reinsurance Capital Change: YE 2012 to YE 2013
Net income and new 3rd party capital were the leading source of reinsurance capital growth in 2013
Traditional
Reinsurance,
$268 , 88%
Collateralized
Reinsurance
(Sidecars), $15 ,
5%
Industry Loss
Warranties, $6 ,
2%
Catastrophe
Bonds, $16 , 5%
“Convergence Capital” accounted
for an estimated $45B or 14% or total
property catastrophe reinsurance capacity
as of mid-2013, up $10B over the past 18 months (since 1/1/12).
Penetration of this type of capacity is
growing
Property Catastrophe Reinsurance Capacity by Source as of Mid-2013 ($ Bill)
Source: Guy Carpenter; Mid-Year Market Report, September 2013; Insurance Information Institute. 156
Collateralized reinsurance (sidecars) is
the fastest growing segment recently
Total = $316 Billion*
Alternative Capacity Development, 2001—2013:H1
Source: Guy Carpenter; Mid-Year Market Report, September 2013; Insurance Information Institute.
Investor by Category, 2013 vs. 2012*
*As of June 30 each year.
Source: Aon Benfield Securities; Insurance Information Institute.
Institutional Investors are
accounting for a larger share of
alternative reinsurance
investors
Non-Traditional Property CatastropheLimits by Type, YE 2012 vs. YE 2015E
Source: Guy Carpenter; Reinsurance Association of America; Insurance Information Institute.
$13 $15
$6 $8
$10
$11
$15
$23 $44
$57
$0
$10
$20
$30
$40
$50
$60
2012* 2015E
NON-TRADITIONAL P/CAT LIMITS BY TYPE
Cat Bond Retro ILW Collateralized Re
Source: Guy Carpenter; *As Of Mar-2013
Alternative capital is expected to rise by 30% by YE 2015 and will ultimately
account for 20-30% of total reinsurance
spend, according to Guy Carpenter
Catastrophe Bonds: Issuance and Outstanding, 1997- 2013*
Risk Capital Amount ($ Millions)
*Through Dec. 31, 2013.Source: Guy Carpenter; Insurance Information Institute.
63
3.0
84
6.1
98
4.8
1,1
30
.0
96
6.9 2
,72
9.2
3,3
91
.7
4,6
00
.3
4,1
08
.8
5,8
52
.9
7,0
83
.0
1,991.1
1,142.81,729.8
6,9
96
.3
4,6
93
.4
1,219.5$
3,4
50
.0
$4
,04
0.4
$4
,90
4.2 $
8,5
41
.6
$1
4,0
24
.2
$1
2,0
43
.6
$1
2,5
08
.8
$1
2,1
85
.0
$1
2,1
39
.1
$1
4,8
35
.7 $1
8,5
16
.7
$2
,95
0.0
$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$16,000
$18,000
$20,000
97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13
Risk Capital IssuedRisk Capital Outstandng at Year End
Catastrophe Bond Issuance Is Approaching Pre-Crisis Levels While Risk Capital Outstanding Stands at an All-Time Record
CAT bond issuance reached a record high in 2013
Risk capital outstanding
reached a record high in 2013
Financial crisis depressed issuance
161
Questions Arising from Influence of Alternative Capital
Could Pension Fund Money Swamp Traditional Capacity?
US private pension funds hold ~$7 trillion in assets
2% allocation = $140 billion
Global property cat capital = ~$316 bill as of mid-2013
Do New Investors Have a Lower Cost of Capital?
New capacity expects 6-8% rate of return compared to 8-10% for traditional reinsurance, according to Dowling & Partners
Will Reinsurance Pricing Become More Closely Linked to Interest Rates?
Terms and Conditions Could Weaken
Multi-year deals
INVESTMENTS: THE NEW REALITY
162
Investment Performance is a Key Driver of Profitability
Depressed Yields Will Necessarily Influence Underwriting & Pricing
162
Property/Casualty Insurance Industry Investment Income: 2000–2013*1
$38.9$37.1 $36.7
$38.7
$54.6
$51.2
$47.1 $47.6$49.2
$47.7
$45.8
$39.6
$49.5
$52.3
$30
$40
$50
$60
00 01 02 03 04 05 06 07 08 09 10 11 12 13*
Investment Income Fell in 2012 and is Falling in 2013 Due to Persistently Low Interest Rates, Putting Additional Pressure on (Re) Insurance Pricing
1 Investment gains consist primarily of interest and stock dividends..*Estimate based on annualized actual 9M:2013 investment income of $34.338B.Sources: ISO; Insurance Information Institute.
($ Billions)
Investment earnings are running below their 2007
pre-crisis peak
164
P/C Insurer Net Realized Capital Gains/Losses, 1990-2013:Q3
Sources: A.M. Best, ISO, Insurance Information Institute.
$2
.88
$4
.81
$9
.89
$9
.82
$1
0.8
1 $1
8.0
2
$1
3.0
2
$1
6.2
1
$6
.63
-$1
.21
$6
.61
$9
.13
$9
.70
$3
.52 $8
.92
-$7
.90
$5
.85
$7
.04
$6
.21
$6
.04
-$1
9.8
1
$9
.24
$6
.00
$1
.66
-$25
-$20
-$15
-$10
-$5
$0
$5
$10
$15
$20
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 1213:9M
Insurers Posted Net Realized Capital Gains in 2010, 2011 and 2012 Following Two Years of Realized Losses During the Financial Crisis. Realized Capital
Losses Were the Primary Cause of 2008/2009’s Large Drop in Profits and ROE
($ Billions) Realized capital gains in 2013 will eclipse 2012 gains
Property/Casualty Insurance Industry Investment Gain: 1994–2013:Q31
$35.4
$42.8$47.2
$52.3
$44.4
$36.0
$45.3$48.9
$59.4$55.7
$64.0
$31.7
$39.2
$53.4$56.2
$53.9
$40.4
$58.0
$51.9
$56.9
$0
$10
$20
$30
$40
$50
$60
$70
94 95 96 97 98 99 00 01 02 03 04 05* 06 07 08 09 10 11 12 13:9M
Investment Income Continued to Fall in 2013 Due to Low Interest Rates but Realized Investment Gains Were Up Sharply; The Financial Crisis
Caused Investment Gains to Fall by 50% in 2008
1 Investment gains consist primarily of interest, stock dividends and realized capital gains and losses.* 2005 figure includes special one-time dividend of $3.2B; Sources: ISO; Insurance Information Institute.
($ Billions)
Investment gains through 2013:Q3 were approximately
double those through 2012:Q3
166
-1.8
%
-1.8
%
-2.0
%
-3.6
%
-3.3
%
-3.3
%
-3.7
%
-4.3
%
-5.2
%
-5.7
%
-7.3%
-1.9
%
-2.1
%
-3.1
%
-8%
-7%
-6%
-5%
-4%
-3%
-2%
-1%
0%
Per
sona
l Lin
es
Pvt P
ass
Aut
o
Per
s Pro
p
Com
mer
cial
Com
ml A
uto
Cre
dit
Com
m P
rop
Com
m C
as
Fidel
ity/S
uret
y
War
rant
y
Sur
plus
Lin
es
Med
Mal
WC
Rei
nsur
ance
**
Lower Investment Earnings Place a Greater Burden on Underwriting and Pricing Discipline
*Based on 2008 Invested Assets and Earned Premiums
**US domestic reinsurance only
Source: A.M. Best; Insurance Information Institute.
Reduction in Combined Ratio Necessary to Offset 1% Decline in Investment Yield to Maintain Constant ROE, by Line*
166
167
U.S. 10-Year Treasury Note Yields:A Long Downward Trend, 1990–2014*
*Monthly, through February 2014. Note: Recessions indicated by gray shaded columns.
Sources: Federal Reserve Bank at http://www.federalreserve.gov/releases/h15/data.htm. National Bureau of Economic Research (recession dates); Insurance Information Institutes.
1%
2%
3%
4%
5%
6%
7%
8%
9%
'90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14
Yields on 10-Year U.S. Treasury Notes have been essentially below 5% for a full decade.
Since roughly 80% of P/C bond/cash investments are in 10-year or shorter durations, most P/C insurer portfolios will have low-yielding bonds for years to come.
Yields on 10-Year U.S. Treasury Notes recently plunged to record modern-era lows in early 2013 but have since risen as the Fed begins “tapering” its
QE program in 2014
167
168
U.S. Treasury Security Yields:A Long Downward Trend, 1990–2014*
*Monthly, constant maturity, nominal rates, through February 2014.
Sources: Federal Reserve Bank at http://www.federalreserve.gov/releases/h15/data.htm. National Bureau of Economic Research (recession dates); Insurance Information Institute.
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
'90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14
Recession2-Yr Yield10-Yr Yield
Yields on 10-Year U.S. Treasury Notes have been essentially below 5% for a full decade.
Since roughly 80% of P/C bond/cash investments are in 10-year or shorter durations, most P/C insurer portfolios will have low-yielding bonds for years to come.
U.S. Treasury yields plunged to historic lows in
2013. Only longer-term yields have rebounded.
168
169
Treasury Yield Curves: Pre-Crisis (July 2007) vs. Feb. 2014
0.05% 0.05% 0.08% 0.12%0.33%
2.15%
2.71%
4.82%4.96% 5.04% 4.96%
4.82% 4.82% 4.88% 5.00% 4.93% 5.00%5.19%
1.40%
0.69%
3.66%3.38%
0%
1%
2%
3%
4%
5%
6%
1M 3M 6M 1Y 2Y 3Y 5Y 7Y 10Y 20Y 30Y
Feb. 2014 Yield Curve
Pre-Crisis (July 2007)
Treasury yield curve remains near its most depressed level in
at least 45 years. Investment income is falling as a result.
Even as the Fed “tapers” rates are unlikely to return to pre-crisis
levels anytime soon
The Fed Is Actively Signaling that it Is Determined to Keep Rates Low Until Unemployment Drops Below 6.5% or Until Inflation Expectations
Exceed 2.5%; Low Rates Add to Pricing Pressure for Insurers.
Source: Federal Reserve Board of Governors; Insurance Information Institute.
170
Treasury Yield Curves: Pre-Crisis (July 2007) vs. Feb. 2014
4.85%
4.48%
1.40%
0.15% 0.14% 0.09% 0.10%
4.75%4.43%
2.80%
2.20%1.93%
1.52%
0.76%
1.17%
1.80%
3.50%
4.80%4.63%
3.66%
3.26% 3.22%
2.78%
1.80%
2.35%
3.50%
4.20%
0.06%0.05%
1.60%
0%
1%
2%
3%
4%
5%
6%
2006 2007 2008 2009 2010 2011 2012 2013 2014F 2015F
3-Month
5-Year
10-Year
Longer term yields are expected to rise in 2014 and 2015 while
short-term yields will not begin to normalize until 2015
Higher longer-term yields will help insurers but short term yields are expected to lag behind
Source: Federal Reserve Board of Governors (2006-2013), Swiss Re (2014-2015); Insurance Information Institute.
171
Outlook for U.S. Treasury Bond Yields Through 2015
0.76
1.17
1.80
2.30
1.80
2.35
3.50
4.20
1.40
0.100.090.060.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
2012 2013 2014F 2015F
3-Month 5-Year 10-Year
% Yield
Longer-tail lines like MPL and workers comp will benefit the most from the normalization of yields
Long-term yields should begin to normalize in 2014 but short-term yields will
remain very low until 2015
171Source: Federal Reserve Board of Governors (2012-2013), Swiss Re (2014-2015); Insurance Information Institute.
172
Average Maturity of Bonds Held by US P/C Insurers, 2006—2011*
6.456.53
6.89
7.307.46
7.32
5.0
5.5
6.0
6.5
7.0
7.5
8.0
2006 2007 2008 2009 2010 2011
*Year-end figures. Latest available.
Sources: Insurance Information Institute calculations based on A.M. Best data.
Average Maturity (Years)
Falling Average Maturity (and Duration) of the P/C Industry’s Bond Portfolio is Contributing to the Drop in Investment
Income Along With Lower Yields
The average bond maturity is down by a full year between
2007 and 2011
172
173
Distribution of Bond Maturities,P/C Insurance Industry, 2003-2012
16.0%
15.2%
15.7%
16.2%
16.3%
29.8%
29.2%
28.8%
29.5%
30.0%
32.4%
36.2%
39.5%
41.4%
40.4%
31.3%
32.5%
34.1%
34.1%
33.8%
31.2%
28.7%
26.7%
26.8%
27.6%
15.4%
15.4%
13.6%
13.1%
12.9%
12.7%
11.7%
11.1%
10.3%
9.8%
9.2%
7.6%
7.6%
7.4%
8.1%
8.1%
7.3%
6.4%
6.3%
5.7%16.5%
15.2%
14.4%
16.0%
15.4%
0% 20% 40% 60% 80% 100%
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Under 1 year
1-5 years
5-10 years
10-20 years
over 20 years
Sources: SNL Financial; Insurance Information Institute.
The main shift over these years has been from bonds with longer maturities to bonds with shorter maturities. The industry first trimmed its holdings of over-10-year bonds
(from 24.6% in 2003 to 15.5% in 2012) and then trimmed bonds in the 5-10-year category (from 31.3% in 2003 to 27.6% in 2012) . Falling average maturity of the P/C industry’s
bond portfolio is contributing to a drop in investment income along with lower yields.
Bonds Rated NAIC Quality Category 3-6 as a Percent of Total Bonds, 2003–2012
2.69%
2.10%2.17%
1.98%
3.07% 3.10%
4.07%
2.04%
2.27%
2.58%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
There are many ways to capture higher yields on bond portfolios.One is to accept greater risk, as measured by NAIC bond ratings.
The ratings range from 1 to 6, with the highest quality rated 1.Even in 2012, over 95% of the industry’s bonds were rated 1 or 2.
Sources: SNL Financial; Insurance Information Institute.
From 2006-07 to year-end 2012, the percentage of lower-quality
bonds in P/C industry portfolios more than doubled
PRICING DISCIPLINE: MIXED PICTURE
175
Commercial Renewal Pricing Under Some Pressure
175
176
-5%
0%
5%
10%
15%
20%
25%
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13:9
M
Net Premium Growth: Annual Change, 1971—2013:Q3
(Percent)
1975-78 1984-87 2000-03
Shaded areas denote “hard market” periodsSources: A.M. Best (historical and forecast), ISO, Insurance Information Institute.
Net Written Premiums Fell 0.7% in 2007 (First Decline
Since 1943) by 2.0% in 2008, and 4.2% in 2009, the First 3-Year Decline Since 1930-33.
2013:9M = 4.2%
2012 growth was +4.3%
177
Growth in Direct Written Premium by Line, 2013-2015F*
Source: Conning.
4.4
%
4.4
%
4.4
%
4.1
%
5.1
% 5.8
%
8.6
%
5.6
% 6.2
%
4.0
%
4.1
%
3.9
%
3.6
%
5.1
%
6.1
%
8.0
%
6.0
%
3.7
%4.3
%
3.9
% 4.7
%
3.2
%
5.5
% 6.0
%
7.5
%
7.0
%
3.4
%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
All Lines Personal
Lines
Commercial
Lines
Personal
Auto
HomeownersCommercial
Auto
WC CMP GL
2013F 2014F 2015F
(Percent)P/C growth is expected
to remain fairly stable
through 2015
178
Average Commercial Rate Change,All Lines, (1Q:2004–3Q:2013)
-3.2
%-5
.9%
-7.0
%-9
.4%
-9.7
%-8
.2%
-4.6
% -2.7
%-3
.0%
-5.3
%-9
.6%
-11
.3%
-11
.8%
-13
.3%
-12
.0%
-13
.5%
-12
.9%
-11
.0%
-6.4
%-5
.1%
-4.9
%-5
.8%
-5.6
%-5
.3%
-6.4
%-5
.2%
-5.4
% -2.9
%
2.7
% 4.4
%4
.3%
3.9
%5
.0%
5.2
%4
.3%
3.4
%
-0.1
% 0.9
%
-0.1
%
-16%
-11%
-6%
-1%
4%
9%
1Q
04
2Q
04
3Q
04
4Q
04
1Q
05
2Q
05
3Q
05
4Q
05
1Q
06
2Q
06
3Q
06
4Q
06
1Q
07
2Q
07
3Q
07
4Q
07
1Q
08
2Q
08
3Q
08
4Q
08
1Q
09
2Q
09
3Q
09
4Q
09
1Q
10
2Q
10
3Q
10
4Q
10
1Q
11
2Q
11
3Q
11
4Q
11
1Q
12
2Q
12
3Q
12
4Q
12
1Q
13
2Q
13
3Q
13
Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.Source: Council of Insurance Agents & Brokers; Insurance Information Institute
KRW Effect
Pricing as of Q3:2013 was positive for the 9th consecutive
quarter. Gains are likely to continue into 2014.
(Percent)
Q2 2011 marked the last of 30th
consecutive quarter of price declines
179
Change in Commercial Rate Renewals, by Account Size: 1999:Q4 to 2013:Q3
Source: Council of Insurance Agents and Brokers; Barclay’s Capital; Insurance Information Institute.Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.
Percentage Change (%)
Peak = 2001:Q4 +28.5%
Pricing Turned Negative in Early
2004 and Remained that
way for 7 ½ years
Pricing turned positive in Q3:2011, the first increase in
nearly 8 years; Q3:2013 renewals were up 3.4%. Some insurers posted
stronger numbers.
Trough = 2007:Q3 -13.6%
KRW : No Lasting Impact
180
Cumulative Qtrly. Commercial Rate Changes, by Account Size: 1999:Q4 to 2013:Q3
Source: Council of Insurance Agents and Brokers; Barclay’s Capital; Insurance Information Institute.Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.
1999:Q4 = 100Despite 9 consecutive quarters
of gains (Q3:2013 = 3.4%), pricing today is where is was in
late 2001 (around 9/11), suggesting additional rate need going forward, esp. in light of
record low interest rates
181
Change in Commercial Rate Renewals, by Line: 2013:Q3
Source: Council of Insurance Agents and Brokers; Insurance Information Institute.
Major Commercial Lines Renewed Uniformly Upward in Q3:2013 for the 9th
Consecutive Quarter; Property Lines & Workers Comp Leading the Way; Cat Losses and Low Interest Rates Provide Momentum Going Forward
Percentage Change (%)
3.5%
4.7%
5.4%5.8%
1.0%
2.9% 2.7% 2.9% 2.9%3.3%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
Su
rety
Co
nstr
uctio
n
Bu
sin
ess
Inte
rru
ptio
n
Um
bre
lla
Ge
ne
ral
Lia
bili
ty
Co
mm
erc
ial
Au
to
Co
mm
erc
ial
Pro
pe
rty
D&
O
EP
L
Wo
rke
rs
Co
mp
Workers Comp rate increases are large than any other line, followed
by Property lines
Note: CIAB data cited here are based on a survey. Rate changes earned by individual insurers can and do vary, potentially substantially.
182182Sources: Guy Carpenter; Insurance Information Institute .
Rate Movements by Business Segment as of January 1, 2014
Many business segments
renewed were under price
pressure as of 1/1/14
183183Sources: Guy Carpenter; Insurance Information Institute .
Casualty: Typical Excess of Loss Rate Changes as of Jan. 1, 2014
Casualty excess of loss renewals turned generally negative as of 1/1/14
Regulation: The Ultimate External Factor
184
Regulation Has Shaped and Reshaped
Insurance for Hundreds of Years—
The Future Will Be No Different
184
New Waves of Regulations
185
2008 - Present
Global Crisis and Regulatory Response
185
186
The Global Financial Crisis: The Pendulum Swings Again: Dodd-Frank & Systemic Risk
Dodd-Frank Act of 2010: The implosion of the housing bubble and virtual collapse of the US banking system, the seizure of credit markets and massive government bailouts of US financial institutions led to calls for sweeping regulatory reforms of the financial industry
Limiting Systemic Risk is at the Core of Dodd-Frank
Designation as a Systemically Important Financial Institutional (SIFI) Will Result in Greater Regulatory Scrutiny and Heightened Capital Requirements
Dodd-Frank Established Several Entities Impacting Insurers
Federal Insurance Office
Financial Stability Oversight Council
Office of Financial Research
Consumer Financial Protection Bureau
187
Insurers—as Non-Bank Financial Institutions—Have Escaped Some, though Not All of the Most Draconian Provision of Dodd-Frank
In particular, small number of large insurers will (are) receiving a designations as Systemically Important Financial Institutions (SIFIs)
Insurers Generally Reject the Notion that Insurance Is Systemically Risky (or that any Individual Insurer is Systemically Important)
Such a Designation Makes the Fed the Penultimate Regulator
To Date: AIG, Prudential Have Been Designated as non-bank SIFIs by the FSOC
MetLife is still under evaluation
Fed Reserve Seems Open to Developing a Tailored Capital Requirement Approach for Insurers
Conflicting language in the DFA make this somewhat difficult
SIFIs may need Fed approval to repurchase shares on increase dividend
The Global Financial Crisis: The Pendulum Swings Again: Dodd-Frank & Systemic Risk
188
Global Financial Crises & Global Systemic Risk
The Global Financial Crisis Prompted the G-20 Leaders to Request that the Financial Stability Board (FSB) Assess the Systemic Risks Associated with SIFIs, Global-SIFIs in Particular
In July 2013, the FSB Endorsed the International Association of Insurance Supervisors Methodology for Identifying Globally Systemically Important Insurers (G-SIIs)
For Each G-SII, the Following Will Be Required:
(i) Recovery and resolution plans
(ii) Enhanced group-wide supervision
(iii) Higher loss absorbency (HLA) requirements
G-SIIs as Designated by the FSB as of July 2013:
Allianz SE AIG Assicurazioni Generali
Aviva Axa MetLife
Ping An Prudential Financial Prudential plc
189
Global Financial Crises & Global Systemic Risk: Key Dates
Implementation Date
Action
July 2013 Designation of G-SIIs (annual updates thereafter beginning Nov. 2014)
July 2014 FSB to make a decision on the G-SII status of, and appropriate risk mitigating measures for major reinsurers
By G-20 Summit2014
IAIS to develop backstop capital requirements to apply to all group activities, incl. non-ins. subs.
End 2015 IAIS to develop HLA requirements that will apply to G-SIIs staring in 2019
January 2019 G-SIIs to apply HLA requirements
Sources: Financial Stability Board, “Globally Systemically Important Insurers (G-SIIs) and the Policy Measures that Will Apply to Them,” July 18, 2013.
190
Global Financial Crises & Global Systemic Risk…There’s More…
IAIS Also Plans to Develop the First-Ever Risk-Based Global Insurance Capital Standards by 2016
Would be Tested in 2017-2018; Implemented in 2019
Would Be Included as Part of ComFrame and Apply to Internationally Active Insurance Groups (IAIGs): ~50 IAIGs Designations Likely
While Flexibility May Exist within the Standards, Doubts in the US Are Likely to Be Strong
Concern that the standards may be bank-centric
Questions as to whether such standards are even needed:
“Although US state insurance regulators continue to have doubts about the
timing, necessity and complexity of developing a global capital standard given
regulatory differences around the globe, we intend to remain fully engaged in
the process to ensure that any development augments the strong legal entity
capital requirements in the US that have provided proven and tested security
for US policyholders and stable insurance markets for consumers and
industry.” --NAIC President Ben Nelson (P/C 360, Oct. 16, 2013)
Financial Strength & Underwriting
191
Cyclical Pattern is P-C Impairment History is Directly Tied to
Underwriting, Reserving & Pricing
191
P/C Insurer Impairments, 1969–20128
15
12
711
93
49
13
12
19
91
61
41
33
64
93
1 34
50
48
55
60
58
41
29
16
12
31
18 19
49 50
47
35
18
14 15
51
6 19 2
13
42
1
0
10
20
30
40
50
60
70
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
Source: A.M. Best Special Report “Pace of P/C Impairments Slowed in 2012; Auto Writers, RRGs Continued to Struggle,” June 2013; Insurance Information Institute.
The Number of Impairments Varies Significantly Over the P/C Insurance Cycle, With Peaks Occurring Well into Hard Markets
192
Impairments among P/C insurers remain infrequent
193
P/C Insurer Impairment Frequency vs. Combined Ratio, 1969-2012
90
95
100
105
110
115
1206
97
07
17
27
37
47
57
67
77
87
98
08
18
28
38
48
58
68
78
88
99
09
19
29
39
49
59
69
79
89
90
00
10
20
30
40
50
60
70
80
91
01
11
2
Co
mb
ine
d R
ati
o
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
Imp
airm
en
t Ra
te
Combined Ratio after Div P/C Impairment Frequency
Source: A.M. Best; Insurance Information Institute
2012 impairment rate was 0.69%, down from 1.11% in 2011; the rate is lower than the 0.82% average since 1969
Impairment Rates Are Highly Correlated With Underwriting Performance and Reached Record Lows in 2007; Recent Increase Was Associated
Primarily With Mortgage and Financial Guaranty Insurers and Not Representative of the Industry Overall
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Reasons for US P/C Insurer Impairments, 1969–2012
43.4%
12.6%7.2%
7.1%
8.0%
6.6%
8.4%3.5%
3.1%
Source: A.M. Best Special Report “Pace of P/C Impairments Slowed in 2012; Auto Writers, RRGs Continued to Struggle,” June 2013; Insurance Information Institute.
Historically, Deficient Loss Reserves and Inadequate Pricing AreBy Far the Leading Cause of P-C Insurer Impairments.
Investment and Catastrophe Losses Play a Much Smaller Role
Deficient Loss Reserves/Inadequate Pricing
Reinsurance Failure
Rapid GrowthAlleged Fraud
Catastrophe Losses
Affiliate Impairment
Investment Problems (Overstatement of Assets)
Misc.
Sig. Change in Business
Rapid Growth ‘A Leading Cause’ of Impairment’
“The leading causes of impairment are deficient loss reserves (inadequate pricing) and rapid growth, together comprising more than 50 percent of annual impairments.”
- A.M. Best, 2013
16.2%
27.7%
39.5%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
45.0%
TowerInsurance
(2013)
Legion(2001)
RelianceNational(1999)
Annualized Growth in
Final Years
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Source: SNL Financial, Insurance Information Institute.
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Top 10 Lines of Business for US P/C Impaired Insurers, 2000–2012
19.7%
22.2%
9.2%8.8%
7.3%
8.6%
6.7%
4.8%
4.0%8.6%
Source: A.M. Best Special Report “Pace of P/C Impairments Slowed in 2012; Auto Writers, RRGs Continued to Struggle,” June 2013; Insurance Information Institute.
.
Workers Comp and Pvt. Passenger Auto Account for More Than 40 Percent of the Impaired Insurers Since 2000
Workers Comp
Other
Pvt. Passenger Auto
HomeownersCommercial Multiperil
Commercial Auto Liability
Other Liability
Med Mal
Surety
Title
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