ir&m economic world cup 2014
TRANSCRIPT
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Risk management research
Economic World Cup 2014
Ineichen Research & Management(IR&M) is an independent researchfirm focusing on investment themesrelated to absolute returns and riskmanagement.
6 June 2014
Alexander Ineichen CFA, CAIA, FRM+41 41 511 [email protected]
Everything is practice.Pele
mailto:[email protected]:[email protected]://www.ineichen-rm.com/http://www.ineichen-rm.com/http://www.ineichen-rm.com/mailto:[email protected] -
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Economic World Cup 2 14ContentOn a personal note .............................................................................................. 3
Introduction ..................................................................................................... 3
Proximity matters ........................................................................................ 6
Socio-economic factors ................................................................................... 7
Celestial beta ............................................................................................... 7
Happiness factor ........................................................................................ 13
Welfare state bubble ................................................................................. 16
Economies and markets ................................................................................ 23
GDP in Apple terms .................................................................................... 23
World stock market at all-time high .......................................................... 28
So whos gonna win then?................................................................................. 38
Appendix ............................................................................................................ 39
MOM tutorial ............................................................................................. 39
Publications ....................................................................................................... 40
Getty
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On a personal note
The word "genius" isn't applicable
in football. A genius is a guy like
Norman Einstein.
Joe Theisman, sports analyst
Introduction
The World Cup, taking place this June/July, will be broadcast in over 200 countries
and is essentially an internal Europe-South America affair. 3.2 billion people
around the world watched the last World Cup final, nearly half the planets
population. I put together some light reading related to the tournament and its 32
contenders. This years host, Brazil, won five times. Italy won four times, followed
by Germany (3x), Argentina and Uruguay (2x), and France, England, and Spain
(1x). Brazil and Germany were both seven times in a final, Italy six times.Figure 1
shows the 32 participants.
Figure 1: World Cup 2014 Teams
Source: FIFA
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For some reason, this yearsevent is World ex Scandinavia. The mascot for the upcoming tournament is an armadillo named Fuleco. Brazil invested an estimated USD12bn into this years event. This compares to
over USD50bn for investments of Russias winter Olympics; Russia of course
being even lower than Brazil on Transparency Internationals Corruption Index.
Sweden, Hungary and Czechoslovakia (today Czech Republic and Slovakia)were the only finalists not to participate in this years event.
Germany holds the record in finishing in the top three: 1934, 1954, 1966,1970, 1974, 1982, 1986, 1990, 2002, 2006, 2010; followed by Brazil: 1938,
1950, 1958, 1962, 1970, 1978, 1994, 1998, 2002; and Italy: 1934, 1938,
1970, 1982, 1990, 1994, 2006.
Both Brazil and Germany share the record finishing in the top eight (16 timesout of 19 tournaments). (Germany (and Japan) werent allowed to participate
in 1950.)
Figure 2 shows World Cup titles by geography showing the dominance of South
America and Europe in this matter.
Figure 2: World Cup titles by geography
Source: Wikipedia
Germany and Italy only win when the tournament is in Europe; Argentina andUruguay only if its in the Americas. France and England only win as host.
Holland was in a final three times on three different continents. Team Ronaldo was never in a final. Its Brazil to win against Argentina 2:1 on 13thJuly then.Most odds makers currently have host Brazil to win the tournament, followed by
Argentina, Germany and Spain.Figure 3 shows one example, the lower the figure
in the table, the higher the markets probability of winning.
http://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finalshttp://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finalshttp://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finalshttp://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finals -
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Figure 3: Odds (5 June 2014)
Source: Ladbrokes
Spains tournament-winning legends have aged; hence the low odds.However, Spain is the only European country to win the World Cup when the
finals werent in Europe.
The markets probability for Belgium to win is probably too high; whilepotentially too low for Portugal, Uruguay and Colombia when compared tocurrent rankings. (See current world rankings on page11.)
Rank Country Odds Rank Country Odds
1 Brazil 3/1 22 Ghana 200/1
2 Argentina 4/1 22 Greece 200/1
3 Germany 5/1 22 Nigeria 200/1
4 Spain 13/1 25 United States 250/1
5 Belgium 16/1 26 South Korea 500/1
6 Portugal 20/1 27 Cameroon 1000/1
7 France 25/1 28 Australia 1500/1
7 Italy 25/1 29 Algeria 2000/1
7 Netherlands 25/1 30 Iran 3000/1
10 Colombia 28/1 31 Costa Rica 4000/1
10 England 28/1 31 Honduras 4000/1
10 Uruguay 28/1
13 Chile 40/1
14 Russia 100/1
14 Switzerland 100/1
16 Bosnia 150/1
16 Croatia 150/116 Ecuador 150/1
16 Ivory Coast 150/1
16 Japan 150/1
16 Mexico 150/1
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Proximity matters
There were 19 World Cup finals since 1930. In six (32%), the host won. In further
three (16%), a team with the host as a neighbour won. This means proximity to
the event matters.
Table 1 shows previous winners, finals and location.
Table 1: List of finals matches, their venues and locations, the finalists and final scores
Source: Wikipedia
There were a total of 13 teams in the first World Cup in 1930. Besides thehost Uruguay, there were Argentina, Belgium, Brazil, Bolivia, Chile, France,
Mexico, Paraguay, Peru, Romania, the United States and Yugoslavia.
Colombia, currently ranked eighth in the world, is not on this list. If proximitymatters, Colombia is the team to watch. Colombia was originally chosen to
host the 1986 World Cup, but FIFA later awarded the tournament to Mexico
after the South American nation backed out.
Portugal is also not on this list. Argentina has proven that a team with oneexceptional player can win the tournament. If speaking the local language is a
factor, Portugal has an edge.
Below follows a comparison of some randomly chosen socio-economic variables ofthe 32 countries; either related to football, or not.
http://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finals#cite_note-BBC2006-48http://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finals#cite_note-BBC2006-48http://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finals#cite_note-BBC2006-48http://en.wikipedia.org/wiki/List_of_FIFA_World_Cup_finals#cite_note-BBC2006-48 -
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Socio-economic factors
Celestial beta
There will be a lot of praying going on during the World Cup. (There will be a lot
of swearing during the World Cup too.) The World Cup is an important event; its
only every four years. Assuming there is an interventionist deity, it is quite possiblethat he might take an interest, presumably depending somewhat on what else is
going on in the universe. (He was there in 1986, helping Team Maradona to score
against England.)
Which team has the strongest heavenly support? And how can we calculate this
celestial beta?
One way to estimate a celestial beta factoris by multiplying population with a
belief-factor, a measure for religiosity; a religiosity coefficient of sort. The team
with the greatest support is most likely a large population where divine
intervention is perceived as most reasonable. A large, religious population has ahigh celestial beta, so to speak.
Gallup measures irreligionwith a factor between 0 and 1, with a score of 1 being
a country where its citizens are most likely to answer no to the question Is
religion an important part of your daily life?We can use this as a proxy for
irreligiosity or the reciprocal value as a proxy for religiosity.Figure 4 shows
irreligion for the 32 contenders, starting with most irreligious.
Figure 4: Irreligion by country
Source: Gallup
England, home to Richard Dawkins, seems to be most sceptical towards theHand of God.
Irreligiosity is strongly correlated with GDP per capita. The correlationcoefficient of the 32 teams to IMFs 2013 GDP per capita is 0.78. This
Celestial betais a socio-econometric term and is defined aspopulation size times the religiositycoefficient divided by 36.2.
Incredulity is the foundation of all
knowledge.
William Robertson (17211793),
Scottish historian
http://en.wikipedia.org/wiki/Irreligion_by_countryhttp://en.wikipedia.org/wiki/Irreligion_by_countryhttp://en.wikipedia.org/wiki/Irreligion_by_countryhttp://en.wikipedia.org/wiki/Irreligion_by_country -
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reasonably high correlation means that irreligiosity is correlated to many other
things that themselves are correlated to GDP per capita: education level,
freedom of speech, secularisation, women rights, industrialisation, etc.
Figure 5 shows the relationship between irreligiosity and GDP. In CFA parlance the
exhibit is called a football chart, whereby the size of the football represents a
variable. In this case the size of the ball refers to population size with the two axisrepresenting GDP per capita and irreligiosity. The rich and irreligious are in the
upper-right-hand corner.
Figure 5: GDP per capita vs irreligiosity
Source: IR&M, Gallup, IMF
The United States is arguably the outlier; rich andpious. Excluding the US, thecorrelation coefficient rises from 0.78 to 0.85. The United States and Russia are on opposite ends of the imaginary regression
line. This is consistent with thepopularityof their incumbent presidents being
at opposite ends too; one at an all-time low, the other close to an all-time
high.
To arrive at the celestial beta one takes the reciprocal value of the irreligiosity
factor (to get a proxy for religiosity, i.e., the likelihood of believing in divine
intervention for trivial terrestrial affairs) and multiplies this religiosity factor with
population size in hundreds of millions and then divide by 36.2 for the average
beta to equal 1.0.Figure 6 shows these betas in descending order.
1Capitalism, Socialism and Democracy (1975, p. 76, footnote 3)
It is [however] always important to
remember that the ability to see
things in their correct perspectivemay be, and often is, divorced from
the ability to reason correctly and
vice versa. That is why a man may
be a very good theorist and yet talk
absolute nonsense.
Joseph A. Schumpeter (1883
1950), Austrian economist1
Imagination is more important than
knowledge. Knowledge is limited.
Albert Einstein
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Figure 6: Celestial betas
0
1
23
4
5
6
UnitedStates
Brazil
Nigeria
Iran
Mexico
Russia
Italy
Colombia
Japan
Algeria
Germany
Argentina
SouthKorea
Ghana
Spain
IvoryCoast
Cameroon
France
UnitedKingdom
Ecuador
Chile
Greece
Australia
Honduras
Portugal
Netherlands
CostaRica
Belgium
Switzerland
Croatia
BosniaandHerzegovina
Uruguay
Source: IR&M, Gallup, IMF
The US, Brazil and Nigeria have the highest celestial betas as their populationsare 315, 194, and 167 million. Assuming there is a God and he really is into
football and pays attention to prayer, these three teams can expect the
highest supernatural support. Uruguay, Eastern European states and the two
chocolate producers will need to find a way to overcompensate for their low
betas.
The USs best finish at a World Cup was third in 1930.One could easily take this nonsense one step further by adjusting population size
by a factor that determines the keenness for the sport. There might be fewer
numinous requests from a large population that doesnt give a damn about
football, compared to a smaller, pious nation hooked on the sport. Brazil most
likely would have a higher beta than the US, as the sport is more popular in Brazil
when compared to the US. (I tried number of stadiums as a proxy for football-
keenness but found that the number of (football) stadiums in a country is mainly
a function of GDP and population size.)
One proxy for football-keenness could be beer drinking: The more beer isconsumed, the larger is the proportion of the population keen on football. After
all, hooligans are not really into Calvados and Vintage Port, are they? (The number
of tattoo parlours would be another proxy for football-keenness, but data was
difficult to come by.1The United States, for example, has 21,000 tattoo parlours,
with a new one opening every day. As Samoa is not participating in this years
event, the UK probably would lead the tattoos per capitastatistic, as one in five
adults is inked.)Figure 7 shows beer drinking in litres per capita for the year 2005,
heaviest beer drinkers first.
1One data point I came across in a 2012 survey is the following: 8% of those with a tattoo thought they were more
intelligent than those without one. However, only 2% of those without a tattoo thought that people with tattoos are more
intelligent. This is good news. It means that between 92% and 98% of the population is actually quite reasonable.
Nothing great was ever achieved
without enthusiasm.
Ralph Waldo Emerson (1803
1883), American writer and
transcendentalist
The mouth of a perfectly happyman is filled with beer.
Egyptian Proverb
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Figure 7: Beer drinking
South:Wealth Health Organisation
What European contenders lack in piety, they make up through beer drinking.The correlation coefficient to GDP per capita is 0.66.
The US and Brazil still do well even when adjusting the celestial beta for beerdrinking. Both are in the top half of the beer drinking chart.
Note that the US is not as soccer-ignorant as it used to be. Being a host of theWorld Cup in 1994 certainly helped. Soccer is the fourthmost popularteam sport
after American football, basketball, and baseball and is more popular today than
ice hockey. Nearly 60% of US Americans say they are looking forward to the 2014
World Cup, according to a Pew Research Centerpoll conducted in January. A fact
the reader might or might not know is that the US has the best womens soccer
team in the world.
Table 2 shows the top 62 teams, both men and women. The main difference
between men and women football is that players of the latter stand up
immediately after being fouled while the players of the former, more often than
not, dont.
1The NY Post, 28 February 2008
Some women choose to followmen, and some women choose to
follow their dreams. If youre
wondering which way to go,
remember that your career will
never wake up and tell you that it
doesnt love you anymore.
Lady Gaga1
http://en.wikipedia.org/wiki/List_of_countries_by_alcohol_consumptionhttp://en.wikipedia.org/wiki/List_of_countries_by_alcohol_consumptionhttp://en.wikipedia.org/wiki/List_of_countries_by_alcohol_consumptionhttp://en.wikipedia.org/wiki/Sports_in_the_United_Stateshttp://en.wikipedia.org/wiki/Sports_in_the_United_Stateshttp://en.wikipedia.org/wiki/Sports_in_the_United_Stateshttp://en.wikipedia.org/wiki/Sports_in_the_United_Stateshttp://en.wikipedia.org/wiki/List_of_countries_by_alcohol_consumption -
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Table 2: FIFA/Coca-Cola World Ranking (5 June 2014)
Source: FIFA
Rank Team Points Rank Team Points
1 Spain 1485 1 USA 2197
2 Germany 1300 2 Germany 2173
3 Brazil 1242 3 Japan 2076
4 Portugal 1189 4 France 20515 Argentina 1175 5 Sweden 2016
6 Switzerland 1149 6 Brazil 2006
7 Uruguay 1147 7 Canada 1971
8 Colombia 1137 8 England 1956
9 Italy 1104 9 NorthKorea 1954
10 England 1090 10 Norway 1949
11 Belgium 1074 11 Australia 1945
12 Greece 1064 12 Italy 1880
13 USA 1035 13 Denmark 1877
14 Chile 1026 14 Netherlands 1852
15 Netherlands 981 15 Spain 1844
16 Ukraine 915 16 China 1843
17 France 913 16 Iceland 1843
18 Croatia 903 18 South Korea 1833
19 Russia 893 19 Scotland 1818
20 Mexico 882 20 New Zealand 1810
21 Bosnia 873 21 Russia 1806
22 Algeria 858 22 Switzerland 1796
23 Ivory Coast 809 23 Finland 1781
23 Denmark 809 24 Ukraine 1772
25 Slovenia 800 25 Mexico 1761
26 Ecuador 791 26 Belgium 1698
27 Scotland 786 27 Czech Republic 1690
28 Costa Rica 762 28 Vietnam 1664
29 Romania 761 29 Austria 1658
30 Serbia 745 30 Ireland 1649
31 Panama 743 30 Thailand 1649
32 Sweden 741 32 Colombia 1641
33 Honduras 731 33 Poland 164034 Czech Rebublic 724 34 Nigeria 1623
35 Turkey 722 35 Argentina 1620
36 Egypt 715 36 Romania 1613
37 Ghana 704 37 Wales 1597
38 Armenia 682 38 Hungary 1582
39 Cape Verde 674 39 Taiwan 1574
40 Venezuela 672 40 Costa Rica 1561
41 Wales 644 41 Chile 1559
42 Austria 643 42 Belarus 1558
43 Iran 641 43 Portugal 1549
44 Nigeria 640 44 Uzbekistan 1548
45 Peru 627 45 Myanmar 1544
46 Japan 626 46 Serbia 1537
47 Hungary 624 47 Slovakia 1521
48 Tunisia 612 48 Trinidad and Tobago 1509
49 Slovakia 591 49 Cameroon 1467
50 Paraguay 575 50 Ghana 1459
51 Montenegro 574 51 India 1431
52 Iceland 566 52 South Africa 1430
52 Guinea 566 53 Equatorial Guinea 1429
54 Sierra Leone 565 54 Jordan 1415
55 Norway 562 55 Iran 1412
56 Cameroon 558 56 Haiti 1397
57 Mali 547 57 Northern Ireland 1395
57 South Korea 547 58 Bulgaria 1393
59 Uzbekistan 539 58 Slovenia 1393
60 Burkina Faso 538 60 Isreal 1388
61 Finland 532 61 Albania 1372
62 Australia 526 62 Panama 1364
WomenMen
http://www.fifa.com/worldranking/rankingtable/index.htmlhttp://www.fifa.com/worldranking/rankingtable/index.htmlhttp://www.fifa.com/worldranking/rankingtable/index.htmlhttp://www.fifa.com/worldranking/rankingtable/index.htmlhttp://www.fifa.com/worldranking/rankingtable/index.html -
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The ranking suggests Spain winning against Germany on 13 thJuly, i.e., a finalentirely without the hosts participation. This table is not consistent with the
markets odds as other factors play a role too.
The correlation coefficient of the 32 mens teams and the correspondingwomen teams is 0.25, i.e., not that high. Based on the average rank, Germany
leads Brazil, followed by the United States and Spain.
One of the greatest discrepancies between the two rankings is Japan, wherethe women team ranks 3rdand provided a thrilleresque 2011 World Cup Final
where they beat Team USA in a penalty shoot-out.
Portugal is a further discrepancy despite Cristiano Ronaldo dos Santos Aveirohaving two sisters. His second given name "Ronaldo" was chosen after then-
U.S. president Ronald Reagan, who was his father's favourite actor.
The womensTeam USA has been ranked first for six years. I do not know why US
women play so well. Most likely it has absolutely nothing to do with the number
of men in prison. However, it is women football and mens incarceration where
the United States really excels, i.e., ranks first handsomely and, it seems,
perpetually.Figure 8 shows the incarceration rate for the 32 (men) teams. The
incarceration rate measures number of prisoners per 100,000 population.
Figure 8: Incarceration rate
Source: ICPS (International Centre for Prison Studies)
USA wins; Russians appearing well behaved by comparison. The correlation coefficient of the incarceration rate with the irreligiosity factor
mentioned earlier is 0.02, with GDP per capita it is 0.15, and with population
size it is 0.61.
The news coming out of Nigeria is not necessarily consistent withFigure 8.
1The Sun, 4 October 2012
The United States has 5% of the
worlds population, 25% of its
incarcerated people, and almost
50% of the worlds lawyers.
Conrad Black1
http://en.wikipedia.org/wiki/List_of_countries_by_incarceration_ratehttp://en.wikipedia.org/wiki/List_of_countries_by_incarceration_ratehttp://en.wikipedia.org/wiki/List_of_countries_by_incarceration_ratehttp://en.wikipedia.org/wiki/List_of_countries_by_incarceration_rate -
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Below we assess happiness in the broadest of terms. The assumption is that
happiness helps playing better football; which makes no sense whatsoever but
must suffice as an intro to the next section.
So who will be running around on grass, chasing in leather prisoned air, with an
enduring smile on their face?
Happiness factor
Measuring happiness is not that easy, unfortunately. First attempts inhappiness
research,to the best of my knowledge, were to define what makes people
unhappy, rather than trying to measure happiness directly. Early measurements for
unhappiness were for example suicides and depressions, which were arguably
good proxies for unhappiness andwere measurable.
The research abandoned crude quantitative measures for economic prowess early
on and moved to include more fancy measures and methodologies for acquiring
data. Today the discipline is part of the esotericend of economics; but isa part ofeconomics nevertheless.
Figure 9 shows the Misery Index for the 32 countries compared to the world
average of 9.6%. The Misery Index is calculated by simply summing up the
unemployment rate and the inflation rate; the lower the index, the less miserable
the population. As the reader can tell immediately, this is an outdated economic
measure. It stems from a time when inflation was a negative.
Figure 9: Misery Index (May 2014)
Source: IR&M, Bloomberg, World Bank, Heritage Foundation, CIA World Factbook, Wikipedia
The Swiss, well known for their perpetual high spirits, sense of humour andjoie de vivre, lead this ranking, i.e., are the least miserable. The probability of
Switzerlandessentially a Tennis nationwinning is about as high as Russias
chances. (SeeFigure 3 on page5.) It did beat Spain in the 2010 World Cup
though. Never underestimate mercenaries.
It is pretty hard to tell what does
bring happiness; poverty and
wealth have both failed.
Kin Hubbard (18681930),
American humourist
http://en.wikipedia.org/wiki/Happiness_economicshttp://en.wikipedia.org/wiki/Happiness_economicshttp://en.wikipedia.org/wiki/Happiness_economicshttp://en.wikipedia.org/wiki/Happiness_economicshttp://en.wikipedia.org/wiki/Happiness_economicshttp://en.wikipedia.org/wiki/Happiness_economics -
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With world inflation at many central bankers dream-rate of 2.0% and worldunemployment at 7.6% for a Misery Index of 9.6%, a total of only ten
countries are less miserable than the whole world on average.
The correlation coefficient with GDP per capita is -0.59.With the Misery Index being outdated, lets look at prosperity as a gauge forhappiness. Here prosperity is not defined as purely economic but includes softer
factors such as health, safety, freedom, etc.
Table 3 shows the 2013 Legatum Prosperity Index. The table was sorted by the
first column, the overall ranking.
Table 3: The 2013 Legatum Prosperity Index
Source: IR&M, Legatum
* Entrepreneurship and opportunity
Switzerland, the Singapore of Europe, ranks best from the 32 countries.(Norway, an oil nation rather than a football nation, ranks first on the full list
of 142 countries.) Note that the first and the last in this list are equal to the
first and last in the graph showing the Misery Index.
The funny thing is the following. The overall ranking inTable 3 has acorrelation coefficient with GDP per capita of -0.89 that is highly statistically
significant. That is, the higher the GDP per capita, the lower is the ranking,
i.e., the higher is overall well-being. The funny bit is that researchers have
invested decades into figuring out a better, more sophisticated measure for
happiness, well-being, and prosperity, while GDP per capita as a measureit
seemswas sufficient all along. (As a comparison: the correlation between
GDP per capita and the 32 country phone dialing codes is -0.46 and
Overall
Ranking
Change
since 2009
Economy Entrepr. &
Opportunity*
Governance Education Health Safety &
Security
Personal
Freedom
Social
Capital
Switzerland 2 6 2 4 1 27 3 11 15 8
Australia 7 -2 10 1 1 7 2 17 1 6 3 4
Netherlands 9 2 20 8 10 12 7 17 14 5
United States 11 -1 24 13 11 5 2 31 16 9
Germany 14 2 9 18 17 15 4 21 12 15
United Kingdom 16 -3 28 9 9 30 19 22 13 12
Belgium 17 -2 25 24 16 16 10 20 18 21
France 20 -2 22 21 19 19 8 30 21 42
Japan 21 -2 5 25 21 21 6 25 48 23
Spain 23 -3 44 29 26 8 24 27 23 27
South Korea 26 3 19 20 31 7 21 18 64 66
Portugal 27 -2 63 31 37 33 29 19 20 43
Uruguay 30 2 42 53 29 51 40 28 10 52
Costa Rica 31 -1 40 44 32 53 48 46 11 44
Italy 32 -6 52 39 40 36 22 39 38 29
Chile 35 0 30 38 24 59 49 37 27 67
Argentina 45 -1 58 57 92 47 42 52 32 57
Brazil 46 -1 32 49 59 77 62 82 26 69
Croatia 53 -14 79 51 51 52 36 38 93 116
Greece 54 -18 80 48 52 34 23 43 134 107
Mexico 59 -10 27 73 66 82 52 104 81 76
Russia 61 1 50 47 115 26 44 98 114 62
Colombia 67 -3 47 63 60 80 80 130 51 53
Ecuador 74 3 54 78 101 69 82 105 45 115
Honduras 96 -17 90 99 107 93 77 79 89 103Bosnia and Herzegovina 97 n.a. 117 91 113 78 61 61 127 104
Algeria 99 -8 61 95 103 74 71 108 132 96
Ghana 100 -11 123 101 62 109 100 67 79 112
Iran 101 -8 91 93 120 57 67 123 126 120
Cameroon 115 -16 87 116 128 112 124 103 92 111
Nigeria 123 -20 112 113 129 126 121 135 103 63
Ivory Coast 131 n.a. 81 127 135 138 133 131 37 136
I know a man who gave upsmoking, drinking, sex, and rich
food. He was healthy right up to the
time he killed himself.
Johnny Carson (19252005),
American TV host
An intellectual is a man who says a
simple thing in a difficult way; an
artist is a man who says a difficult
thing in a simple way.
Charles Bukowski (19201994),
German-born American poet
http://media.prosperity.com/2013/pdf/publications/PI2013Brochure_WEB.pdfhttp://media.prosperity.com/2013/pdf/publications/PI2013Brochure_WEB.pdfhttp://media.prosperity.com/2013/pdf/publications/PI2013Brochure_WEB.pdfhttp://media.prosperity.com/2013/pdf/publications/PI2013Brochure_WEB.pdf -
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statistically significant; which just goes to show how seriously one needs to
take analysts who base their reasoning on statistics alone.)1
Extreme inequality is also considered an unhappy-maker. After all, extreme
inequality within a society has resulted in revolutions and civil wars; arguably the
most violent forms of upheaval. We therefore can use theGini coefficientas a
proxy for tensions within a society, implicitly assuming a causal relationship ofsocieties with more equal income distribution being happier. The Gini coefficient is
a number between 0 and 1, where 0 corresponds with perfect equality (where
everyone has the same income) and 1 corresponds with perfect inequality (where
one person has all the incomeand everyone else has zero income.)Figure 10
shows estimates for the Gini coefficient for the 32 countries compared to the
world average.
Figure 10: Gini coefficient (latest available)
Source: CIA World Factbook
Germany and Belgium not only lead the beer statistics, they have the mostjust income distribution too.This means the more equal the dough is
shared, the more beer is downed. (The correlation coefficient between Gini
coefficient and beer per capita is only -0.39 though.)
Latin America occupies the right hand side of this chart, i.e., income is in thehands of the few.
The correlation between the Gini coefficients shown here and GDP per capitais -0.55 with the US being the outlier, i.e., high income but unequally
distributed.
1Correlating GDP per capita with phone dialing codes is o f course nonsense. However, the industrialised world got
switched up earlier and thereby got lower country codes that were easier to handle by the switch board operator. Hence
the negative and significant correlation, i.e., industrialised economies being richer andhaving lower dialing codes. I should
have taken the number of a countys endangered fish instead of dialing codes to make my point.
2Address delivered before the American Academy of Political and Social Science, Philadelphia, March 30, 1945.
The inequality of income and
fortunes is essential in capitalism.
Ludwig von Mises2
http://www.investopedia.com/terms/g/gini-index.asphttp://www.investopedia.com/terms/g/gini-index.asphttp://www.investopedia.com/terms/g/gini-index.asphttp://www.investopedia.com/terms/g/gini-index.asp -
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Welfare state bubble
Some countries have a debt problem. The safest way to have a debt problem is by
living beyond your means. The most efficient way to live beyond your means is by
spending someone elses money. Future generations who cannot vote come in
quite handy in this regard.Figure 11 shows how its done.
Figure 11: What went wrong in the West
Source: Protg Partners 4Q 2009 quarterly letter
Once one shows graphically what went wrong in the
West it becomes clear that what the Keynesians did was
actually quite different from what Keynes meant. According
to one estimate the present value of the USs liabilities
including unfunded welfare promises is north of USD50trillion, i.e., more than 500 McDonalds Corporations.
According to another estimate, apparently, more than 50%
of the US population is netreceiver of transfer payments. In
Germany more than three quarters of the population
benefit from a transfer payment in one form or another.
The trend is clearly towards getting worse. It actually
resembles a Ponzi or a pyramid scheme; which is illegal in
most jurisdictions.
There is nothing wrong with a welfare state; it is the welfare state bubblethat is of
concern. The welfare state idea is a good one. It lifted large parts of variouspopulations out of poverty. A developed society should clearly care about
minimising suffering. However, the idea was taken too fare. At times it feels like
socialism in a new wrapper; the third way being a marketing gimmick akin the
new economy a couple of years ago. The practical relevance is that it is
becoming apparent that the financing of this welfare state bubble is not working
very well and authorities who have had their backs at the wall in the past did some
reallyhow shall I put thiscapital-unfriendlythings.
1Germany reformed its social model. Europe can, too, Josef Joffe, Bloomberg News, 17 April 2012
Money
Time
Save
Borrow
Borrowing
Business Cycle
What Keynes Meant
Money
Time
Borrow
Borrowing
Business Cycle Borrow
Borrow
What Keynesians Did
A budget tells us what we can't
afford, but it doesn't keep us from
buying it.
William Feather (18891981),
American author
We will have to cut benefits. We
shall promote individualresponsibility. And our guiding
principle will be that we can only
redistribute what we have earned.
Gerhard Schrder, to the
Bundestag, 14 March 20031
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Figure 12 shows an estimate for private and government debt. The chart might
serve as a proxy as to who has been living beyond their means and thereby has
been ripping off their future generations the most. And unfunded liabilities arent
even in the data.
Figure 12: Private and government debt in % of GDP
Source: IR&M, Heritage Foundation, World Bank
From a risk management point of view it is the total size of the bar thatmatters: If the citizens are overleveraged and fail, banks, they themselves
leveraged to the hilt and provider of the leverage, fail too. And they are too
big to fail, the implicit governmental guarantee turning into an explicit one six
years ago. Lets just hope that property prices in some of the European
countries on the left hand side of the chart continue to go up forever. (The
funny bit is that many authorities perceive hedge fundsas dangerous. Hedge
funds are leveraged around 2.5:1 with, more often than not, short positions
offsetting the risk of some of the long positions. Homeowners are leveraged
around 6:1 or 7:1, e.g., a $1m house with $150k equity, and have no
positions offsetting some of the risk. From a socio-economic perspective, one
really needs to hope that the tide never goes out.)
The sad bit is the following: the correlation coefficient with the median age is0.73. This means: the higher the debt load, the fewer young people are
around to pay for it.
Figure 13 shows median age.
1Berkshire Hathaway, 2001 letter to shareholders, 28 February 2002
What have future generations ever
done for us?
Groucho Marx (1890 - 1977),
American comedian
After all, you only find out who is
swimming naked when the tide
goes out.
Warren Buffett1
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Figure 13: Median age
Source: CIA World Factbook
Median age is most strongly correlated with Legatums education rankingfromTable 3 on page14.The correlation coefficient is -0.86 which means the
better the education (low ranking); the higher is the median age; or the other
way around. Given that the median age is strongly correlated with a countrys
fertility rate, its possible that Aldous Huxley was on to something.
So with all this debt that might or might not be paid back or that might or might
not be inflated away, who has the best welfare?
Figure 14 shows thesocial welfare function. The social welfare function, proposed
by Amartya Sen in 1973, is a measure of a society's overall welfare calculated as
the product of GDP per capita and the difference between 1 and the society's Gini
coefficient. This means a rich nation where income is fairlydistributed scores
best on this measure.
1Well, he didnt actually use the word reproduction, but never mind.
2The Economist, 7 September 2013
An intellectual is a person who has
discovered something more
interesting than reproduction.1
Aldous Huxley (1894 - 1963),
English writer
Life in the system is hardly gold-
plated, but it is comfortable
enough.
Melissa Devilma, welfare recipient
on incentive not to seek work or
education2
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Figure 14: Social welfare function*
Source: IR&M, IMF, CIA World Factbook
* Social welfare function = GDP per capita * (1Gini coefficient)
The host Brazil does quite poorly when GDP per capita is adjusted for incomeinequality as it has the fourth highest Gini coefficient from the 32-country
sample. The low social welfare function is probably the reason why riots
erupted with respect to the silliness of building expensive infrastructure where
parts of the population are not well fared. FIFA take note.
The correlation coefficient between the social welfare index inFigure 14(excluding World and Ivory Coast) and theSocial Progress Index Report 2014
from Social Progress Imperativeis 0.98. Sometimes simple measures are
enough.
Heres a thought: Net migration is always from right to left in the chartabove.Africans are risking their lives to get to anywhere else. Russians want to go
elsewhere, London for example. Spaniards are migrating to Germany.
Mexicans are migrating to the US. Educated Greek and Italians (with
marketable skills) are leaving for London. Rich French dislocate to Belgium or
Switzerland or South Kensington (which is not on the list but would be to the
left of France if it were). German entrepreneurs set up shop in Switzerlandbecause red tape is less onerous and government a bit less intrusive there.
Only the Swiss have nowhere to go. This is why the idea from some politicians
in Sardinia to join Switzerland is such a good idea. Then the Swiss at least
wouldnt be landlocked anymore.Figure 15 is from IR&Ms flash update from
1 April 2014.
Financial Times 3 June 2014
In a war everybody always knows
all about Switzerland, in peace
times it is just Switzerland but in
war time it is the only country that
everybody has confidence in,everybody.
Gertrude Stein (1874 - 1946),
American writer
http://www.socialprogressimperative.org/system/resources/W1siZiIsIjIwMTQvMDUvMjYvMTYvMzQvNTQvNzk5L1NvY2lhbF9Qcm9ncmVzc19JbmRleF8yMDE0X1JlcG9ydF9lXy5wZGYiXV0/Social%20Progress%20Index%202014%20Report%20e%20.pdfhttp://www.socialprogressimperative.org/system/resources/W1siZiIsIjIwMTQvMDUvMjYvMTYvMzQvNTQvNzk5L1NvY2lhbF9Qcm9ncmVzc19JbmRleF8yMDE0X1JlcG9ydF9lXy5wZGYiXV0/Social%20Progress%20Index%202014%20Report%20e%20.pdfhttp://www.socialprogressimperative.org/system/resources/W1siZiIsIjIwMTQvMDUvMjYvMTYvMzQvNTQvNzk5L1NvY2lhbF9Qcm9ncmVzc19JbmRleF8yMDE0X1JlcG9ydF9lXy5wZGYiXV0/Social%20Progress%20Index%202014%20Report%20e%20.pdfhttp://www.socialprogressimperative.org/system/resources/W1siZiIsIjIwMTQvMDUvMjYvMTYvMzQvNTQvNzk5L1NvY2lhbF9Qcm9ncmVzc19JbmRleF8yMDE0X1JlcG9ydF9lXy5wZGYiXV0/Social%20Progress%20Index%202014%20Report%20e%20.pdf -
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Figure 15: Sardinia to join Switzerland
Source: IR&M risk management research flash update 1 April 2014
Socio-economically Italy is broken. It is not only the Sardinians that want out;
North Italians want out too. They have enough of the corruption, waste,
bureaucracy and cronyism which in Italy means the North supporting the South,
somewhat akin the Europe as a whole. TheLega Nordhas been trying to create a
sovereign state for some time. They call it Padania. They even have a prosed flag
for Padania: the Sun of the Alps, depicted in the side text on the right. The obvious
association with Bob Marleys smoking preferences was probably unintentional.
Currently, the Legas effort to stir it up is jamming though; Romeafter havingshot the sheriff only just quite recentlywill not permit an exodus. This will keep
the Lega Nord waiting in vain.
Figure 16 shows the Corruption Perceptions Index (CPI) for 2013 and 2006 from
Transparency International, the main source on this kind of information that I
occasionally cross-reference with similar information from the Heritage
Foundation. Sample size is the 154 countries where there is information for both
years. The chart shows the ranking with the lowest ranking being least corrupt.
http://en.wikipedia.org/wiki/Lega_Nordhttp://en.wikipedia.org/wiki/Lega_Nordhttp://en.wikipedia.org/wiki/Lega_Nordhttp://en.wikipedia.org/wiki/Lega_Nord -
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Figure 16: Corruption Perceptions Index (2013 and 2006)
Source: IR&M, Transparency International
Greece, formerly categorised as developed market by MSCI, ranks worstamong European states.
Italy, formerly less corrupt than Ghana, Croatia and Costa Rica, is now morecorrupt than Ghana, Croatia and Costa Rica. This makes you wonder why the
2018 World Cup is in Russia and not in Italy. But then Russia beats Italy in
corruption by a long shot.
Switzerland is the least corrupt from this sample. However, it is not the leastcorrupt from the whole sample; Denmark and New Zealand are. Whether this
is because the FIFA is domiciled inZurichand not in Copenhagen or
Wellington, I dont know. (Corruption in relation to FIFA is like corruption
related to the Vatican: There are those who know; and those who dont want
to know.)
The correlation between 2013 corruption and beer drinking is -0.57, i.e., theleast corrupt drink the most beer, sort of. The correlation between 2013
corruption and the incarceration rate is, when rounded only to one decimal,
0.0.
Now this makes perfect sense. After all, corruption is a cultural thing; entirely
unrelated to crime. The Greek for instance, according to one line of argument, are
a victim of their own history. After 200-300 years of Ottoman rule, cheating and
bribingas goes this line of reasoninghave become the most successful survival
technique; potentially the onlysurvival technique.
Corruption has become part of the Greek socio-economic DNA. This goes to show
what repression does. (Hence the title Repressionomics of IR&MsJanuary 2013
report.)
Corruption and bureaucracy is also in Italys DNA. The concept of bureaucracy has
been present in Italy since Roman times, when various organisational bodies were
1Durant, Will (1965) The Story of Civilization, Volume 9, The Age of Voltaire.
It is said that power corrupts, but
actually it's more true that power
attracts the corruptible. The sane
are usually attracted by other things
than power.
David Brin (1950 - ), American
scientist and author
If the corruption of the people in
power is never more manifest than
in the ages of the greatest luxury, it
is because in those ages the riches
of a nation are collected into the
smallest number of hands.
Claude Adrien Helvtius (1715
1771), French philosopher1
https://www.google.ch/maps/place/FIFA+headquarters/@47.3816222,8.5749969,17z/data=!3m1!4b1!4m2!3m1!1s0x479aa0c18166e45d:0x9b35f19a87a7dd52https://www.google.ch/maps/place/FIFA+headquarters/@47.3816222,8.5749969,17z/data=!3m1!4b1!4m2!3m1!1s0x479aa0c18166e45d:0x9b35f19a87a7dd52https://www.google.ch/maps/place/FIFA+headquarters/@47.3816222,8.5749969,17z/data=!3m1!4b1!4m2!3m1!1s0x479aa0c18166e45d:0x9b35f19a87a7dd52https://www.google.ch/maps/place/FIFA+headquarters/@47.3816222,8.5749969,17z/data=!3m1!4b1!4m2!3m1!1s0x479aa0c18166e45d:0x9b35f19a87a7dd52 -
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in charge of it, but not always acted fairly. Later on in history, bureaucracy grew
closer to the principles of law and equal individual rights. However, because of
some unexpected negative side effects in the organisation of public offices, the
term burocraziahas ended up designating the inefficiency of the public system,
characterized by corruption and bad handling of documents. Such negative
connotations, always associated with a lack of efficiency, are sadly well rooted into
Italian administration.1
Figure 17 relates corruption with investment freedom for the 32 countries and the
world as a whole. I use investment freedom as a crude proxy for the repression
of a society; the smaller the freedom, the stronger the (current or future)
repression. When glancing at the investment freedom from Heritage Foundation it
seems it doesnt yet take into account the Cyprus incident from March 2013 which
too me was a confirmation as to how close repression, expropriation and tyranny
really are. But the data is the data. It suffices for now.
Figure 17: Corruption vs repression
Source: IR&M, Transparency International, Heritage Foundation
The correlation coefficient of the data in the chart is, for what, as always, itsworth, -0.81 and statistically significant beyond doubt. Corruption comes
when freedom goes. Or the other way around.
Let me close this socio-economic section on a jolly note from Russian-born
American novelist and philosopher Ayn Rand, inAtlas Shrugged:
Money is the barometer of a societys virtue. When you see that trading is
done, not by consent, but by compulsionwhen you see that in order to
produce, you need to obtain permission from men who produce nothing
when you see that money is flowing to those who deal, not in goods, but in
favorswhen you see that men get richer by graft and by pull than by work,
and your laws dont protect you against them, but protect them against you
when you see corruption being rewarded and honesty becoming a self-
sacrificeyou may know that your society is doomed.
1Lifeinitaly.com
2Handelsblatt, 13 March 2013
Italy is de facto already out of the
euro. The country is on its knees...
The northern European countries
are only holding onto us until their
banks have recouped their
investments in Italian sovereign
bonds. Then theyll drop us like a
hot potato.
Beppe Grillo, Italian comedian
turned politician2
You can avoid reality, but you
cannot avoid the consequences ofavoiding reality.
Ayn Rand (1905 - 1982)
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Economies and markets
GDP in Apple terms
The market capitalisation of Apple was $540 billion at the end of May 2014.
Figure 18 shows GDP in Apple Inc. terms, i.e., annual GDP in USDbn divided by
$540bn. (A bar size of 1.0 means GDP for the whole country is equal to Applesmarket capitalisation.)
Figure 18: GDP in Apple Inc. terms
Source: IR&M, Bloomberg
The graph speaks for itself. (Analytically one obviously needs to be careful when
comparing variables from the income statement with balance sheet items. Not in
this report though.)
One economic aspect is demographics. Economists understand economic growth
essentially as a function of two things: population size and productivity, i.e.,
economic growth is a function of the two. For many centuries, or actually,
millennia, these two variables were more or less constant. There was no
improvement of GDP or any other measure of well-being. Things economic
stayed the same with the volatility coming from wars and famines, mainly. Over
the past two hundred years both variables have been growing constantly in many
economic areas. This means our economic output is many times that of our
forebears 300, 400, or 500 years ago. And now one, or, in some cases, even two
of these central variables are in decline. This means GDP is in decline in real terms.
It could well be that in 1000 years from now, the whole industrialisation and the
exponential growth in wealth and population will be viewed as a brief intermezzo
1The Story of Civilization Our Oriental Heritage, Will and Ariel Durant, 1935.
Life is hard. After all it kills you.
Katharine Hepburn
Civilization is an interlude between
ice ages.
Will Durant (1885 -1981), American
historian1
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in human history. (Exponential growth involving living tissue normally doesnt end
well. Ask an Eastern Islander or an Australian rabbit.)
Figure 19 shows demographics in a nutshell; the birth-death ratio, i.e., number of
births per 1000 population per year divided by deaths per 1000 population. The
graph was sorted in ascending order, i.e., the reproduction fatiguecountries first.
(A negative number means there are more deaths than births.) On average, thereare around 19.7 births per 1000 world population per year and 7.9 deaths for a
ratio of 1.5. (Births/deaths -1.)
Figure 19: Births vs. deaths (2014 estimates)
Source: IR&M, CIA World Factbook
The ratio in Germany is -0.254, i.e., only 8.42 births vs. 11.29 deaths. Holdingthis rate constant, Germanys current 81.9 million population would be down
to one million around the year 3545; ceteris paribus of course. Put differently,
at this rate it would take Germany roughly 240 years to half itspopulation to
41 million.
The ratio in France is nearly the opposite, i.e., demographics are quite healthywhen compared to Germany, or Japan for that matter. The ratio is +0.379,
i.e., 12.49 births to 9.06 deaths. This ratio would allow the population togrow from its current 65.3 million to 114.2 million over 240 years, almost
guaranteeing house prices in South Kensington to continue to soar. France
would, ceteris paribus, have a population of 87 million by the year 2100,
which would compare to Germanys 64 million.
Table 4 below shows both cyclical as well as structural economic variables. Green
stands for good and red for pretty bad. The last column is a ranking. The
ranking is an average of 13 rankings of variable that were ticked. The fertility rate,
a more common metric for demographics than the birth-death ratio, is also
1"War Shrines," Soliloquies in England, 1922.
2Sowell, Thomas (1993) Is Reality Optional? And other Essays, Stanford: Hoover Institution Press, p. 41.
There is no cure for birth and
death, save to enjoy the interval.
George Santayana (1863 - 1952),
Spanish-American philosopher1
Western civilization has survived
the invasions of Genghis Khan from
the East, the Ottoman Empire from
the South, and two world wars
originated from within. But whether
it will survive its own intellectuals is
much more doubtful.
Thomas Sowell, American
economist2
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shown. A fertility ratio of around 2.1 (kids per women) is required to hold (home-
grown) population constant.
Note that the table includes things like property rights, government expenditure,
corruption, etc. The reason is that volatility of equity or bond indices, or (tapered)
yield levels are incomplete gauges for risk. The practical relevance of including
freedom variables is that the investor might not get his money back ifsomething goes wrong. We all know that, quite often when circumstances
change, most investors want out at roughly the same time. A regulation-hungry,
bureaucracy-worshiping regime is more likely to halt the exit of funds when the
day for selling finally comes. Cyprus in spring 2013 was potentially an amuse-
bouche rather than an appetizer; an early taste of what centrally planning, Borg-
like etatists are capable of, when their back hairs start feeling the proverbial wall.
Table 4: Economic world cup (as of 5 June 2014)
Source: IR&M, Bloomberg (BB), Heritage Foundation (HF), Central Intelligence Agency's World Factbook (CIA), World Bank (WB), Transparency International (TI), KPMG (KP),World Economic Forum (WEF). Notes: BoP: Balance of payments, External debt: total public and private debt owed to non-residents repayable in internationally accepted
currencies, goods, or services, CPI: Consumer Price Inflation and Corruption Perceptions Index.
Another table where the Swiss lead. If only we could play football too. Spain, Croatia, Italy and Greece are the only four countries that have no green
fields inTable 4.Honduras, Cameroon, Argentina, Bosnia etc., they all have
something going for them.
The US has the highest corporate tax rate, higher then France and Belgium. Itis quite reasonable to assume that the corporate cash that cannot go home
1HedgeFund Intelligence, Autumn 2013
Country
GDP,
$tr
(BB)
GDP,
real,
yoy
(BB/WB)
Unempl,
%
(BB)
Inflation
(CPI),
%
(BB)
Misery
Index,
%
(IR&M)
Fertility
rate,
kids/w
(CIA)
Rate
nominal,
%
(BB)
Rate
real,
%
(IR&M)
BoP,
% GDP
(WB)
Budget,
% GDP
(BB)
Debt,
public,
% GDP
(HF)
Debt,
external,
% GDP
(CIA)
Property
rights,
(HF)
Corrupt.
(CPI),
(TI)
Corp.
tax
rate,
(KP)
Govt.
expend.,
(HF)
Business
freedom,
(HF)
Global
competit.
Index
(WEF)
Rank
(IR&M)
Columns used for ranking:
Switzerland 0.63 2.0 3.2 0.0 3.2 1.5 0.0 0.0 8.5 0.6 49 248 90 85 18 34 75 1 1
Chile 0.27 4.1 6.5 4.3 10.8 1.8 4.0 -0.3 -3.5 0.5 11 38 90 71 20 23 69 34 2
South Korea 1.13 3.9 3.9 1.5 5.4 1.3 2.5 1.0 3.8 -0.4 34 39 70 55 24 30 93 25 3
Germany 3.43 2.3 5.9 1.3 7.2 1.4 0.3 -1.1 7.0 0.0 82 167 90 78 30 45 90 4 3
Netherlands 0.77 -0.5 8.7 1.2 9.9 1.8 2.8 1.6 9.4 -3.6 72 345 90 83 25 50 90 8 5
United Kingdom 2.48 3.1 6.8 1.8 8.6 1.9 0.5 -1.3 -3.7 -5.8 90 408 90 76 21 48 92 10 6
Colombia 0.37 4.9 10.6 2.7 13.3 2.1 3.8 1.0 -3.3 2.8 33 23 50 36 25 29 85 69 7
United States 16.24 2.0 5.9 2.0 7.9 2.0 0.3 -1.8 -2.7 -2.9 107 103 80 73 40 42 89 5 8
Algeria 0.21 3.3 9.7 0.7 10.3 2.8 4.0 3.3 6.0 -0.3 10 2 30 36 19 40 66 100 8
Mexico 1.18 1.8 4.9 3.5 8.4 2.3 3.5 0.0 -1.2 -2.8 44 30 50 34 30 27 77 55 10
Belgium 0.48 1.2 8.5 0.4 8.9 1.7 3.1 2.8 -2.0 -2.6 100 295 80 75 34 53 90 17 11
Australia 1.53 3.5 5.8 2.9 8.7 1.8 2.5 -0.4 -3.7 -1.4 93 226 77 67 30 50 83 23 12
Russia 2.01 0.9 5.3 7.3 12.6 1.6 8.3 1.0 3.6 2.7 11 31 25 28 20 36 70 64 13
Ecuador 0.08 5.1 5.6 3.2 8.8 2.3 3.9 0.7 -0.2 0.1 19 24 20 35 22 44 53 71 13
Japan 5.96 3.0 3.8 1.6 5.4 1.4 0.1 -1.5 1.0 -6.7 238 51 80 74 36 42 80 9 15
Costa Rica 0.05 5.1 8.3 3.7 11.9 1.9 3.1 -0.6 -5.3 -4.1 35 27 50 53 30 18 65 54 16Uruguay 0.05 4.6 6.3 9.2 15.5 1.8 9.3 0.1 -5.3 -2.1 54 23 70 73 25 33 75 85 17
France 2.61 0.8 9.8 0.7 10.5 2.1 2.9 2.2 -2.2 -4.3 90 198 80 71 33 56 80 23 18
Portugal 0.21 1.2 15.1 -0.1 15.0 1.5 3.6 3.7 -2.1 -4.9 123 259 70 62 23 49 85 51 19
Ghana 0.04 7.9 11.0 14.7 25.7 4.1 12.3 -2.5 -11.7 -3.9 57 28 50 46 25 24 63 114 19
Brazil 2.25 1.9 4.9 6.3 11.2 1.8 11.0 4.7 -2.4 3.1 68 19 50 42 25 39 54 56 21
Nigeria 0.26 6.7 23.9 7.9 31.8 5.3 9.4 1.5 7.8 -1.4 18 4 30 25 30 29 48 120 22
Ivory Coast 0.02 9.5 40.0 1.3 41.3 3.6 3.5 2.2 0.0 -3.1 49 19 30 27 25 26 55 126 23
Iran 0.55 -1.9 12.5 17.4 29.9 1.9 14.8 -2.6 0.0 0.5 11 2 10 25 25 22 62 82 24
Spain 1.32 0.5 25.4 0.4 25.8 1.5 3.0 2.6 -1.1 -7.1 84 173 70 59 30 45 77 35 25
Honduras 0.02 3.9 4.4 6.0 10.4 2.9 7.0 1.0 -8.6 -3.2 35 26 30 26 30 26 55 111 26
Croatia 0.06 -0.4 21.1 -0.5 20.6 1.5 0.6 1.1 -0.3 -3.4 56 108 40 48 20 42 61 75 26
Cameroon 0.03 4.6 30.0 2.9 32.9 4.8 2.8 -0.2 -3.8 0.1 15 13 30 25 35 22 45 115 28
Italy 2.01 -0.5 12.7 0.6 13.3 1.4 1.7 1.1 -0.4 -3.0 127 122 50 43 31 50 76 49 29Argentina 0.48 1.4 7.1 20.8 27.9 2.3 14.8 -6.0 0.0 -0.5 45 28 15 34 35 41 54 104 30
Bosnia and Herzegovina 0.02 -0.7 28.0 3.1 31.1 1.3 2.9 -0.2 -9.3 -1.6 44 52 20 42 10 49 56 87 31
Greece 0.25 -5.5 26.5 -1.3 25.2 1.4 4.8 6.1 -2.5 -12.7 159 234 40 40 26 52 76 91 32
One of the things that concerns me
in the context of the Eurozone is
expropriation. Cyprus was a bail-in,
with depositors savings taken awayto make up for the shortfall and it
was done at the direction of
government. This now seems to be
the new template.
Sir Michael Hintze, Founder of CQS1
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will be misallocated as a result; in addition to angering the host population of
the targeted misallocations.
The Misery Index has the highest correlation with the final ranking, i.e., thelast column. The correlation coefficient was 0.73. This means simple and
battle-tested metrics are still usable for a crude and quick approximation of
the economic status quo.
The second highest correlation with the final ranking had property rightsand WEFs Global Competition Index. The correlation coefficient was 0.65
(-0.65 in the case of property rights). This too makes sense. If youre an
uncompetitive kleptocrat and you rip off everyone, you probably wont be
doing great. (Well, the kleptocrat himself will actually be doing great; its just
that everyone else wont.)
Table 5 shows country risk for the 32 combatants. The country risk is an average
of sovereign risk, currency risk, and banking sector risk by the Economist
Intelligence Unit (EIU).
Table 5: Country risk
Source: IR&M, Bloomberg, Economist Intelligence Unit
Notes: Change in stock indices is in USD; change in 10-year government bond yields is in basis points. Big Macs are measured in USD and the percentage price change is
shown.
As of Q1 2009, the country risk of the UK was higher than that of Greece.Things dochange over time.
Uruguays stock market has not recovered from 2008, neither in USD nor inany other terms. Worst of all, Big Macs have risen by 54%.
Argentinas stock market has done well; at least the part that has not beennationalised.
Last YTD EUI CR Stocks 10Y, bp Big Mac, %
26 27 26 26 26 27 25 23 23 23 25 26 27 25 24 22 21 20 19 18 18 17 United States 114 39 29
17 17 20 20 17 18 19 19 19 17 18 21 21 22 21 22 19 19 19 19 19 19 Switzerland 85 -138 12
25 26 26 26 26 25 25 21 22 21 21 24 25 25 25 26 26 27 27 26 26 25 Germany 99 -161
29 29 31 31 31 32 31 30 31 31 31 30 29 29 30 31 33 31 31 29 26 26 Japan 47 -59 13
23 23 24 24 26 27 27 26 24 23 24 26 26 28 29 30 29 29 29 27 26 26 Netherlands 59 -194
28 30 31 31 30 30 31 29 28 28 29 30 31 31 31 30 33 31 29 28 27 27 France 36 -169
34 32 32 32 32 29 27 26 25 23 23 25 28 28 27 27 26 28 28 28 28 28 Chile 97 18
36 36 36 36 37 38 37 35 35 35 34 34 37 36 36 37 37 37 37 36 28 28 United Kingdom 81 -54 1
30 33 35 35 32 29 30 27 27 28 29 33 33 33 33 34 35 34 35 35 34 34 Belgium 60 -191
44 42 42 38 38 37 37 33 33 34 35 35 36 37 37 37 35 35 35 34 34 34 South Korea 128 -87 11
39 38 36 36 38 41 40 37 35 36 35 35 35 36 36 36 34 35 35 36 36 35 Australia 102 -31 33
38 38 40 36 37 36 36 34 36 34 34 37 37 38 38 36 37 38 37 37 37 37 Mexico 101 -215 -1247 47 44 42 43 43 42 40 41 40 40 38 37 37 37 36 38 37 39 39 38 38 Colombia 113 12
44 45 41 41 43 43 41 39 39 39 38 38 39 39 39 40 38 37 41 39 39 39 Brazil 46 11
34 35 36 36 34 35 35 34 35 35 35 38 40 40 40 40 41 43 43 42 40 40 Italy 7 -144
49 48 47 45 45 45 44 43 44 43 43 43 40 43 43 41 42 42 43 43 43 41 Russia 96 3
29 34 35 35 38 36 34 33 36 36 39 39 38 42 42 43 43 43 43 43 41 41 Spain 13 -99
51 49 45 43 42 42 42 42 40 40 40 42 41 42 41 40 40 41 41 42 41 41 Uruguay -68 54
34 34 36 36 38 35 40 42 43 45 46 50 50 49 47 47 47 48 47 46 42 42 Portugal 8 -43
54 50 49 48 48 47 44 41 44 43 44 45 46 46 45 44 44 43 43 43 44 44 Costa Rica 8 31
43 43 44 45 46 46 45 48 48 47 45 46 47 44 45 48 48 47 46 48 47 47 Algeria
50 54 52 50 49 49 49 50 49 49 50 51 52 52 51 52 51 50 49 50 49 49 Croatia -8
67 66 62 62 62 58 57 60 68 63 60 59 57 57 53 52 52 50 50 50 53 53 Ivory Coast
52 54 53 52 50 51 53 54 52 52 53 52 53 51 52 53 54 53 54 51 54 54 Cameroon
71 73 71 62 63 62 61 61 65 63 65 65 64 64 62 63 62 62 58 58 55 55 Ecuador 20
60 60 60 58 55 52 50 50 49 48 49 52 52 52 55 56 55 53 53 52 55 55 Ghana
34 33 31 31 39 46 46 47 46 50 52 53 64 67 66 66 63 64 60 59 56 56 Greece -35 107
57 56 61 58 57 56 55 57 58 57 53 53 54 54 53 53 52 52 52 53 53 57 Nigeria 35
59 59 60 60 58 60 59 58 60 60 60 62 62 61 63 62 60 61 61 62 61 61 Bosnia and Herzegovina59 61 70 65 65 64 62 59 58 59 58 58 57 58 59 59 59 59 61 62 62 62 Honduras
58 60 59 59 59 57 58 57 55 56 57 60 63 62 62 64 62 65 66 67 67 67 Argentina 203 -17
60 61 61 60 60 58 57 60 61 62 64 67 72 72 69 71 73 73 72 71 70 70 Iran
Q1 2009 - Q1 2014
EUI Country Risk Change since December 2008
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World stock market at all-time high
Some stock markets are at their all-time high.Figure 20 shows stock market
performance for the 27 World Cup contenders that have a stock market and data
is available via Bloomberg. The light bars measure the distance from its all-time
high in USD, i.e., 0 means that the index was at an all-time high when this chart
was done. The filled bars measure year-to-date stock index performance in USD,
i.e., the USD return from January to 29 May 2014.
Figure 20: Stock markets distance from all-time high and YTD performance (29 May 2014)
Source: IR&M, Bloomberg
Everything based in USD.
The MSCI World is at an all-time high while most markets arent. Argentina, the US and Germany were at an all-time high at the end of May. Uruguay was 82% below its all-time high. If the index starts compounding at,
say, 5% per year, the losses will be recovered somewhere around the year
2049. In nominal USD terms that is.
Large losses obviously kill the rate at which capital compounds. The discipline that
aims to prevent or avoid large losses is called risk management. (Luck also works
pretty well but isnt very reliable; thus not being very helpful to the observant
practitioner.)
One way to assess risk is via price momentum. One of the advantages of price
momentum is its simplicity. Once one defines the parameters, a market has
positive momentum or it hasnt. This means for the investor he should be e ither
involved or he shouldnt. (Or he should be long or short. Or he should be long
those markets with positive momentum and short those markets with negative
momentum, thus balancing market risk on a portfolio level, etc.)
Figure 21 is just one example.
As far as I am concerned, the stock
market doesnt exist. It is only there
as a reference to see if anybody is
offering to do anything foolish.
Warren Buffet
Relying on luck is about as
intelligent as a bearded Austrian
wearing Victorias Secretis
attractive.
When sophistication loses content
then the only way of keeping in
touch with reality is to be crude and
superficial.
Paul Karl Feyerabend (1924 -
1994), Austrian-born philosopher of
science
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Figure 21: Using price momentum to assess market risk
Source: IR&M risk management update 16 May 2014
IR&M has been producing a momentum monitor as a tool to help investors lose
money. This sounds like a typo, but isnt. All investors lose money every now and
then. However, successful investors lose less than unsuccessful investors. One of
the tricks is: when you fall in a hole, stop digging.
The momentum monitor was designed to help investors with risk management,
asset allocation, and position sizing. Tail events do not always happen out of the
blue. They often occur when momentum is negative. Negative momentum makes
hedging more important and suggests position sizing should be more conservative.Furthermore, momentum helps avoiding continuous, negative compounding of
capital by cutting losses short.
The momentum monitor seeks to improve the investors investment decisions;
making the investment decision process more robust. Seeking applicable wisdom is
the goal of the whole research. Data and information is cheap and knowledge is
something one can look up. Connecting the dots to understand what is going on
1This means, according to Zweigs theory, that if interest rates were going down, stocks would go up, and vice versa. He
also claimed the way to make money was to be risk-averse, rather than taking chances on the upside. He said he was a
big poker player while at Wharton, but had stopped playing when he became a money manager because he hated losing,
even at cards. One of his major pieces of advice was never to hold stocks, even of the best companies, in a bear market,
since even they could disappoint.
A fool with a tool is still a fool.
Saying
Dont fight the Fed.
Martin E. Zweig (1942-2013),
American investor1
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andideallyapplying some wisdom that has stood the test of time is the aim of
this effort.
Applied wisdom does not change from week to week. As a matter of fact, one
could argue that wisdom is something that always applies. For example, Martin
Zweigs Dont fight the Fed is probably always true. However, we are currently
in a regime where it is most applicable. For the past couple of years it was centralbanks intervention that was the most important thing, with economic factors
being somewhat delegated to the proverbial back burner.
Figure 22 shows a momentum summary page from IR&Ms momentum monitor
for the 27 countries with an equity market. The numbers count the number of
weeks since long-term momentum changed positive (green) or negative (red). A
tutorial can be found in the Appendix of this report or onwww.ineichen-rm.com.
Figure 22: IR&M long-term momentum monitor
Source: IR&M, Bloomberg.
Notes: Long-term momentum is based on simply weighted average over 10 and 40 weeks. Chg.: Highlights change from Friday to Friday. FX momentum of USD is based on
trade-weighted index, FX momentum in EmMa is based on JPM Emerging Markets Currency Index. * = performance since trend reversal: Equities: USD price returns in %;
bonds: yield change in basis points; CDS: change in basis points; FX: currency change versus USD. ** Eurozone member.
Tutorial: This table shows long-term momentum for equities, 10-year government bond yields, 5-year credit default swaps (CDS), and currencies. The four geographic sections
were sorted by equity performance, best first. Colour-coding for yields and CDS is from the perspective of the bond investor, i.e., falling = positive. Developed markets arehighlighted in grey in the names column.* = change since signal. Further information in the Appendix.
The World ex Russia has become a less risky place. Everyone seems to bewaiting until the music stops but the central planners just keep buying.
Parts of Latin America turned positive quite recently.The idea of paying attention to momentum also works for the economy as a
whole, rather than just securities or indices thereof.Figure 23 shows one example;
an economic momentum model for the United States in this case.
IR&M long-term momentum
Week: 19 20 21 22 Chg. * 19 20 21 22 Chg. * 19 20 21 22 Chg. * 19 20 21 22 Chg. *Regions
Eurozone 88 89 90 91 36 -11 -12 -13 -14 -26 -93 -94 -95 -96 -175 42 43 44 45 2 EUR
World 91 92 93 94 33
Emerging Markets 2 3 4 5 4 -1 -2 -3 -4 -23 -55 -56 -57 -58 -7
Americas
Argentina 74 75 76 77 75 -34 -35 -36 -37 -631 -290 -291 -292 -293 -59 ARS
Costa Rica 94 95 96 97 57 31 32 33 34 10 CRCUnited States 120 121 122 123 46 -8 -9 -10 -11 -9 -10 -11 -12 -9 -34 -35 -36 -37 0 DXY
Ecuador 39 40 41 42 9 -34 -35 -36 -37 0 DXY
Chile 2 3 4 5 3 -22 -23 -24 -25 -11 -50 -51 -52 -53 -9 CLP
Colombia 1 2 3 4 1 -4 -5 -6 -7 -14 -15 -16 -17 -36 -59 -60 1 2 0 COP
Mexico -10 -11 -12 1 0 -1 -2 -3 -4 -13 -25 -26 -27 -28 -27 -44 1 2 3 0 MXN
Brazil -19 -20 1 2 -1 59 60 61 62 214 -7 -8 -9 -10 -23 3 4 5 6 0 BRL
Uruguay -6 -7 -8 -9 -8 47 48 49 50 10 UYU
Europe
Germany** 93 94 95 96 59 -11 -12 -13 -14 -26 -92 -93 -94 -95 -43 42 43 44 45 2 EUR
Switzerland 95 96 97 98 52 -8 -9 -10 -11 -29 35 36 37 38 4 CHF
Belgium** 93 94 95 96 51 -17 -18 -19 -20 -46 -114 -115 -116 -117 -193 42 43 44 45 3 EUR
France** 91 92 93 94 43 -9 -10 -11 -12 -36 -94 -95 -96 -97 -120 42 43 44 45 3 EUR
Netherlands** 92 93 94 95 35 -13 -14 -15 -16 -27 -37 -38 -39 -40 -21 42 43 44 45 3 EUR
Spain** 37 38 39 40 34 -81 -82 -83 -84 -274 -85 -86 -87 -88 -307 42 43 44 45 2 EUR
Italy** 37 38 39 40 34 -28 -29 -30 -31 -113 -37 -38 -39 -40 -129 42 43 44 45 2 EURUnited Kingdom 91 92 93 94 25 -5 -6 -7 -8 -5 -39 -40 -41 -42 -14 34 35 36 37 5 GBP
Portugal** 33 34 35 36 20 -25 -26 -27 -28 -234 -25 -26 -27 -28 -173 42 43 44 45 2 EUR
Greece** 32 33 34 35 15 -107 -108 -109 -110 -1428 42 43 44 45 2 EUR
Russia -8 -9 -10 -11 15 45 46 47 48 87 12 13 14 15 9 -54 -55 -56 -57 -11 RUB
Croatia -45 -46 -47 -48 -2 -9 -10 -11 -12 -60 -10 -11 -12 -13 -49 46 47 48 49 3 HRK
Bosnia and Herzegovina -10 -11 -12 -13 -3 -42 -43 -44 -45 -2 BAM
Rest of World
Ghana 107 108 109 110 33 60 61 62 63 59 GHS
Australia 89 90 91 92 15 -3 -4 -5 -6 -29 -19 -20 -21 -22 -2 3 4 5 6 0 AUD
Nigeria -11 -12 -13 -14 8 13 14 15 16 0 NGN
South Korea -11 -12 -13 -14 5 -7 -8 -9 -10 -17 -24 -25 -26 -27 -2 33 34 35 36 5 KRW
Japan -6 -7 -8 -9 -1 -31 -32 -33 -34 -8 -39 -40 -41 -42 -24 -76 -77 -78 -79 -19 JPY
Equities Govt bond yields, 10-year CDS, 5-year FX vs USD
There are old climbers and bold
climbers, but there are no old bold
climbers.
Mountaineering risk managementwisdom
http://www.ineichen-rm.com/index.php?option=com_content&view=article&id=73&Itemid=65http://www.ineichen-rm.com/index.php?option=com_content&view=article&id=73&Itemid=65http://www.ineichen-rm.com/index.php?option=com_content&view=article&id=73&Itemid=65http://www.ineichen-rm.com/index.php?option=com_content&view=article&id=73&Itemid=65 -
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Figure 23: Economic momentum
Source: IR&M risk management update 4 June 2014
The best way to think about economic momentum is with a sailing analogy incombination with Minskys instability idea. Every sailor knows that a storm
requires a different trim than calmer weather. The red line in the chart is
designed to indicate whether the economic environment is calm or a storm is
brewing. The key is not to predict the next storm but to respond when
circumstances start changing. Rough weather at sea doesnt change from one
minute to the next. The same is true for a change of the economic winds;
normally. There is time to trim the sails. In finance this means being moreconservative or hedged when things start to change for the worse, i.e., the red
line in the chart starts to fall. The storms zenith or magnitude and potential
damage cannot be predicted. However, changing circumstances can be
measured and assessed. The practical relevance to Minskys instability
hypothesis is that, both at sea and in economics, the current calm is nothing
else than the build-up of the next storm.
Man cannot change the direction
of the wind....he can only adjust his
sails.
Sailing wisdom
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One negative aspect of momentum is that one nearly never buys at theultimate low or sells at the high. Trying to predict these turning points is
another game entirely. An example: There is no shortage on forecasts on
China; some good, some bad. Paying attention to economic (and stock price)
momentum is much more objective, simple, transparent and clear. Economic
momentum in China, according to IR&Ms China model, turned negative early
2013 when the Shanghai Composite was around 4000. In June 2014 the
economic momentum in China was still negative without interruption and the
stock index at 2000. While forecasting is highly entertaining, there is no need.
There will be a time to readjust ones Chinese sails, clearly; but there is no
need trying to catch the proverbial falling knife. (That said, judging by a chart
of the Shanghai Composite, someone with very deep, actually authoritatively
big pockets seems to be buying at 2000, thereby providing some support.)
Momentum is also applicable to aggregate bottom-up variables as for example
corporate earnings.Figure 24 shows momentum of 12-months forward consensus
earnings.
Figure 24: Earnings momentum
Source: IR&M risk management update 4 June 2014
When earnings estimates are shown in percentiles, as in the graph above,earnings estimates are at a multi-year high for both the MSCI World as well as
Im not a market timer. I never
bought at the lows or sold at the
highs, but I was always in the game
for the middle 60 per cent.
J.P. Morgan (18371913),
American banker
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the S&P 500. This is perfectly consistent with these two indices being at their
all-time highs at the time of writing, i.e., early June 2014.
With many equity markets at an all-time high, investors obviously wonder where
next. I have no clue, as has nobody else. As Robert N. Veres put it:
Personally, I think everybody who predicts the future with a straight faceshould be required (by federal law) to change out of the business suit,
wrap him/herself in a gypsy shawl, wear one of those pointed wizard's
hats with a picture of a crescent moon on it, and make conjuring sounds
over a crystal ball. That way, everybody would know exactly what's going
on and how much credibility to give the answer.1
One way of avoiding forecasting isnowcasting.Focussing on facts rather than
opinionson nowcasting rather than forecastingmakes the investment decision
making process more robust. A tick-the-box approach is a form of nowcasting. A
box is either ticked or it isnt. Its that simple.
Figure 25 shows a tick-the-box approach to the US stock market. The current
situation in the last column is compared to the previous two peaks, i.e., March
2000 and October 2007. The number of green ticks implies that nearly all seems
well and sound at the moment. Ones conviction should be inversely related to the
number of non-ticks, i.e.; the fewer explosives, the higher the conviction in the
bull market continuing.
1"The Vision Thing," Investment Advisor, June 1997.
2Berkshire Hathaway Annual Meeting, 3 May 2008.
There's no chance that the iPhone
is going to get any significant
market share. No chance. It's a $500
subsidized item.Steve Ballmer, April 2007
We dont like things you have to
carry out to 3 decimal places. If
someone weighed somewhere
between 300-350 pounds, I wouldnt
need precisionI would know theywere fat.
Warren Buffett2
http://en.wikipedia.org/wiki/Nowcasting_(economics)http://en.wikipedia.org/wiki/Nowcasting_(economics)http://en.wikipedia.org/wiki/Nowcasting_(economics)http://en.wikipedia.org/wiki/Nowcasting_(economics) -
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Figure 25: Tick-the-box approach to US stock market (June 2014)
Source: IR&M
At the moment, all seems well. One really needs to look hard to find somenon-ticks.
The risk of ticking boxes is that one is ticking to wrong boxes; thus any derivedconviction being an illusion.
Another simple way to assess toppishness is valuation. The funny thing here is that
there is no agreement as to whichvaluation is best. Equity markets are expensive
on some yard sticks and fairly priced on others.Figure 26 shows the MSCI World
with P/E bands.
March
2000
October
2007
June
2014
Price momentum
Long-term momentum S&P 500 positive
Long-term momentum Financials positive M M 5Y annual S&P 500 TR Index return < 25% M
Stock market related factors
Trailing P/E ratio < 20x M
EPS estimates rising M
Price-to-book value < 3x M
NYSE margin debt/GDP < 2.5% M M
Macro
ISM PMI > 50
Jobless claims < 350k and falling
Monetary policy
Fed easing M
Yield curve positively sloped M
Risk
High yield spreads < 450bps M
High yield spreads < 450bps and not rising M M M
TED spread < 50bps M
St. Louis Fed's Financial Stress Index < 0 M M
VIX < 20% M
Farrah Fawcett still alive M
Eternal world peace M M M
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Figure 26: MSCI World with P/E bands and valuation matrix
Source: IR&M risk management update 4 June 2014
Based on an conventional valuation approach, as shown above, the marketdoes indeed look a bit toppish. However, it can remain toppish for a rather
long time; hence the idea of paying attention to momentum.
Scenario analysis is another way to assess risk and enlighten us as to where we
stand. At one, simplistic level, the stock market is a function of earnings, a
discount factor and the risk premium the market thinks is most appropriate. In
Figure 27 I juggle a bit with these variables.
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Figure 27: Scenario analysis
Source: IR&M risk management update 4 June 2014
If the market one day wakes up and decides that governments are actually notthat trustworthy given all the lying, cheating, cronyism, money printing, gaffs,
etc. and start regarding equities not more risky than long-term government
bonds, then the equity risk premium will go to zero. At the current Treasury
yield of 2.58% this means that the earnings yield of the S&P 500 Index is the
same, i.e., 2.58% (for the equity risk premium to be zero). If analysts got their
earnings predictions correct and earnings per index do indeed rise by 14%
from $108.8 to $124.1, then the index should rise by around 150%.
One can easily turn this example around and argue, for the equity riskpremium to go to zero, yields rise to the earnings yield, i.e., 5.66% in this
case. This is of course bad for bonds. What stays unchanged is that equities
are cheap relativeto bonds; given the assumptions.
Which of the many scenarios will eventually play out will only be determinable
with the benefit of hindsight. At the moment the sea in financial markets is calm,
1Hayek, F.A. (1976) Choice in Currency: A Way to Stop Inflation, London: The Institute of Economic Affairs. Hayek
argued that the only true way to fight inflation was to keep government honest, and the only way to keep government
honest was to take away governments legal privilege to issue money exclusively. Hayeks proposal was simple: repeal
legal tender laws and let the people use whatever sort of money they want.
With the exception only of the 200-
year period of the gold standard
(1714 to 1914 in Britain), practically
all governments of history have
used their exclusive power to issue
money in order to defraud and
plunder the people.
F.A. Hayek (18991992),Austrian economist1
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i.e., a good time to focus on the football world cup rather than the economic
world cup.Figure 28 shows a selection of risk measures.
Figure 28: Selection of risk measures
Source: IR&M risk management update 4 June 2014
Many of the shown risk measures are at or very close to a multi-year low; aproxy for a calm sea or investor complacency.
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So whos gonna winthen?
Table 7 shows an average ranking of the eight most relevant input variables using
sophisticated econometrical and statistical methodologies, and the most state-of-
the-art technology available in finance, i.e.,