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King of the Mountain: Finding Short-Term Efficacy in the Shiller P/E Ratio Rob Arnott Chairman Oct 19, 2015

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  • King of the Mountain:

    Finding Short-Term Efficacy in the

    Shiller P/E Ratio

    Rob Arnott

    Chairman

    Oct 19, 2015

  • King of the Mountain

    » CAPE in forecasting subsequent returns

    › Powerful at forecasting long-horizon returns

    › Less so for short-horizon returns

    » CAPE and macro regimes

    › Link with real interest rate and inflation

    › The 3-D valuation mountain

    » Application

    › Potential of forecasting short-term returns

    2

  • CAPE in forecasting subsequent

    returns

    3

  • »Low (high) PE implies high (low) future returns

    Valuation Ratios Mean Revert at Long-Horizon

    Source: Prof. Robert Shiller online data.

    4

    Price/Earnings Ratio (CAPE), United States, 1881.01–2015.09

    CA

    PE

  • Source: Research Affiliates, LLC, based on Shiller, Bloomberg, and FactSet. As of June 30 2015. U.S. represented by S&P 500.

    High Stock Valuations Produce Lower Returns

    5

    CAPE vs. Subsequent 10-year Real Returns: January 1990 – June 2015, United States

  • Source: Research Affiliates, LLC, based on Bloomberg and FactSet. As of June 30 2015. U.S. represented by S&P 500. EM represented by MSCI EM Index.

    Same Relationship in EM Equities

    6

    CAPE vs. Subsequent 10-year Real Returns: January 1990 – June 2015, EM

  • Source: Research Affiliates, LLC, based on Shiller, Bloomberg, and FactSet. As of June 30 2015. U.S. represented by S&P 500. EM represented by MSCI EM Index.

    EM Risk is Priced Again

    7

    Relative Valuation Ratios vs Relative Subsequent Returns: January 1990 – June 2015

  • CAPE is Powerful at Forecasting Long-Horizon

    Returns, Less So for Short-Horizon Returns

    Source: Research Affiliates, based on data from Global Financial Database, Robert Shiller online data, and Morningstar EnCorr.

    8

    Shiller PE vs. Subsequent 10-Year Real Returns, 1926-2013 R

    eal R

    etu

    rns

  • CAPE is Powerful at Forecasting Long-Horizon

    Returns, Less So for Short-Horizon Returns

    Source: Research Affiliates, based on data from Global Financial Database, Robert Shiller online data, and Morningstar EnCorr.

    9

    Shiller PE vs. Subsequent 5-Year Real Returns, 1926-2013 R

    eal R

    etu

    rns

  • CAPE is Powerful at Forecasting Long-Horizon

    Returns, Less So for Short-Horizon Returns

    Source: Research Affiliates, based on data from Global Financial Database, Robert Shiller online data, and Morningstar EnCorr.

    10

    Shiller PE vs. Subsequent 1-Year Real Returns, 1926-2013 R

    eal R

    etu

    rns

  • CAPE Varies Across ―Growth Cycle‖

    *Growth / Slowdown: When economy is growing faster / slower than trend.

    Source: Prof. Robert Shiller online data, Morningstar EnCorr, and St. Louis FRED. From Jan-1926 through Sep-2013.

    11

    The essence of our research: adding one illustrative measure of economic

    condition to enhance our understanding of the mean-reversion target for CAPE

    » High valuation may be justified under the right conditions

    Average CAPE across Business Cycle, 1926–2013

    Avera

    ge C

    APE

    Long-Horizon

    Average

  • CAPE and Macro Regimes

    12

  • 13

    Link Between CAPE and Real Interest Rates

    » Median CAPE plummets when…

    › Real interest rate is negative reflecting a desire to aggressively

    stimulate the economy, or

    › Real interest rate unusually high reflecting a desire to rein in an

    overheated economy

    *Real yield is defined as 10-year government bond yield less the 3-year inflation.

    Source: Research Affiliates, based on data from Global Financial Database. See also Leibowitz and Bova (2007).

    Median P/E at Different Real Yield* Regimes (United States, 1880.12–2013.12)

    10.712.2

    16.417.1 17.8

    19.6

    17.2

    14.8

    10.5

  • 14

    Link Between CAPE and Inflation

    » Median CAPE also plummets when…› Inflation is unusually high increased money supply without growth

    › Inflation is zero or negative decreased price leads to lower production

    *Inflation is defined as 1-year trailing inflation, calculated using 12-month changes in the Consumer Price Index (CPI).

    Source: Research Affiliates, based on data from Global Financial Database.

    Why these results matter? Fed policy intends to depress interest

    rates for as long as inflation remains low.

    Median P/E at Different Inflation* Regimes (United States, 1880.12–2013.12)

    16.017.6

    16.2

    18.920.3

    18.7

    15.914.7

    9.2

  • The Macroeconomic Sweet Spot for A Soaring CAPE

    » Common belief: rock-bottom levels of inflation and real interest rates

    » 3-D valuation mountain: moderate levels of inflation and real interest rates

    Source: Research Affiliates, based on data from Global Financial Database.

    15

    Median P/E at Different Inflation and Real Yield Regimes (United States, 1880.12–2013.12)

    Med

    ian

    P/E

    -

  • A Nonlinear Model Based on the Valuation Mountain

    Source: Research Affiliates, based on data from Global Financial Database.

    16

    Med

    ian

    P/E

    Mo

    dele

    d P

    /E

    -

  • Use Gaussian Model to Fit a Continuous Function

    » Polynomials are simple, but are not bounded

    » Gaussian function is a better alternative

    » Seven parameters are found by minimizing the weighted* sum of squared errors on a 10 x 10 grid

    17

    *Weights are proportional to square root of numbers of observations within each region of the grid and inversely proportional to the standard deviation of those observations.

  • Gaussian Model

    Surface Curves

    » The ―sweet spot‖ for CAPE in U.S. equity market

    › Low inflation (~1.5%)

    › Moderate real interest rate (~3%)

    Source: Research Affiliates, based on data from Global Financial Database.

    18

  • Gaussian Model—Statistical Fit

    »

    Source: Research Affiliates, based on data from Global Financial Database.

    19

    CoefficientAdjusted R2

    Model Inflation Real Rate

    Non-linear Model 50.7%

    Linear Model 1 -2.87 10.1%

    Linear Model 2 3.67 9.7%

    Linear Model 3 -1.85 2.21 12.3%

    Statistical Fit of Various Models Used to Explain P/E (United States, 1880.12–2013.12)

  • Application:Improving Return Forecasts

    20

  • Horizon

    (Months)Coefficient

    Newey-West

    t-Stat

    Non-overlapping

    t-StatAdjusted R

    2

    120 -0.05 -2.29 -0.48 8.9%

    60 -0.08 -2.01 -1.63 8.7%

    36 -0.11 -2.33 -1.72 9.1%

    12 -0.16 -3.26 -2.46 4.9%

    6 -0.16 -3.63 -3.20 3.0%

    1 -0.18 -3.22 -3.22 0.6%

    Forecasting Returns with CAPE and Modeled CAPE

    United States, 1880.12–2013.12

    » CAPE is more powerful in forecasting long-horizon returns

    » Adjusted CAPE enhances short-term return forecast

    Source: Research Affiliates, based on data from Global Financial Database.

    21

    Traditional Forecasting Regression using CAPE only Forecasting Regression using both CAPE and Modeled CAPE

    𝑟𝑡+𝑘 = 𝛼 + 𝛽 ln 𝑃𝑡

    𝐸𝑡−3 + 𝜀𝑡+𝑘 𝑟𝑡+𝑘 = 𝛼 + 𝛽 ln

    𝑃𝑡𝐸𝑡−3

    − 𝑓 𝑖𝑡 ,𝜋𝑡 + 𝜀𝑡+𝑘

    Horizon

    (Months)Coefficient

    Newey-West

    t-Stat

    Non-overlapping

    t-StatAdjusted R

    2

    120 -0.07 -6.74 -2.07 33.3%

    60 -0.09 -3.74 -3.12 20.3%

    36 -0.09 -2.97 -2.18 13.0%

    12 -0.10 -3.00 -2.58 4.7%

    6 -0.09 -2.75 -2.17 2.0%

    1 -0.08 -1.80 -1.79 0.2%

  • 22

    Intuition of Observations

    » CAPE is a strong predictor for long-horizon (510 years) returns

    › Long-term valuations mean-revert, with high statistical significance

    » CAPE is a weak predictor for short-horizon (up to 3 years) returns

    › Current macroeconomic environment affects normal CAPE

    › Provides better estimate of fair market valuation

    › Leads to better ability to forecast returns at short-horizon

    › Improves results shorter than 3 years in U.S.

    › Current CAPE does not matter, except relative to model CAPE

    » Transitioning from short to long horizon

    › Usefulness of ―current‖ macroeconomic variables fades

    › The macroeconomic environment in 510 years will differ from today

  • Global Markets

    23

  • 24

    Link Between CAPE and Real Interest Rate

    Developed Countries (excluding U.S.)

    » Remarkable similarity to what we observe in U.S. equity market

    *Real yield is defined as 10-year government bond yield less the 3-year inflation. Pooled data across 22 countries: Australia, Austria, Belgium, Canada, Denmark,

    Finland, France, Germany, Greece, Hong Kong, Ireland, Italy, Japan, Netherlands, New Zealand, Norway, Portugal, Singapore, Spain, Sweden, Switzerland and the

    U.K.

    Source: Research Affiliates, based on data from Global Financial Database.

    Median P/E at Different Real Yield* Regimes (Developed Countries, 1972.03–2013.12)

    14.513.3

    17.0

    19.2

    22.0

    19.818.0

    16.314.3

  • 25

    Link Between CAPE and Inflation

    Developed Countries (excluding U.S.)

    » Weaker mountain-shaped relationship due to fewer episodes of very low inflation in the international sample

    *Inflation is defined as 1-year trailing inflation, calculated using 12-month changes in the Consumer Price Index (CPI). Pooled data across 22 countries: Australia,

    Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Hong Kong, Ireland, Italy, Japan, Netherlands, New Zealand, Norway, Portugal, Singapore,

    Spain, Sweden, Switzerland and the U.K.

    Source: Research Affiliates, based on data from Global Financial Database.

    Median P/E at Different Inflation* Regimes (Developed Countries, 1972.03–2013.12)

    15.6

    20.7 21.9 22.2

    20.2

    17.8

    14.6 14.2

    9.6

  • Observe Similar Valuation Mountain in Developed

    Countries (excluding U.S.)

    » Common belief: rock-bottom levels of inflation and real interest rates

    » 3-D valuation mountain: moderate levels of inflation and real interest rates

    Source: Research Affiliates, based on data from Global Financial Database.

    26

    Median P/E at Different Inflation and Real Yield Regimes (Developed Countries, 1972.03–2013.12)

    Med

    ian

    P/E

    -

  • Gaussian Model – Surface CurvesDeveloped Countries (excluding U.S.), 1972.03–2013.12

    » Near-identical location of the ―Sweet Spot‖

    Developed ex-US PE Curve US PE Curve (from earlier)

    Source: Research Affiliates, LLC, based on data from Global Financial Database

    27

  • Gaussian Model – Surface CurvesDeveloped Countries (excluding U.S.), 1972.03–2013.12

    » Near-identical location of the ―Sweet Spot‖

    Developed ex-US PE Curve US PE Curve (from earlier)

    Source: Research Affiliates, LLC, based on data from Global Financial Database

    28

  • Gaussian Model – Statistical FitDeveloped Countries (excluding U.S.), 1972.03–2013.12

    »

    Source: Research Affiliates, based on data from Global Financial Database.

    29

    Coefficient

    Adjusted R2Model Inflation Real Rate

    Non-linear Model 29.9%

    Linear Model 1 -8.13 23.0%

    Linear Model 2 -1.95 0.8%

    Linear Model 3 -8.46 -3.31 25.3%

    Statistical Fit of Various Models Used to Explain P/E (Developed Countries, 1972.03–2013.12)

  • Horizon

    (Months)Coefficient

    Newey-West

    t-Stat

    Non-overlapping

    t-StatAdjusted R

    2

    120 -0.07 -8.02 -4.14 42.7%

    60 -0.17 -8.42 -6.81 40.1%

    36 -0.18 -5.04 -3.85 27.4%

    12 -0.24 -3.92 -3.00 12.2%

    6 -0.24 -4.02 -3.60 6.6%

    1 -0.21 -3.06 -3.06 1.1%

    Forecasting Returns with CAPE and Modeled CAPEDeveloped Countries, 1972.03–2013.12

    » Similar to the U.S sample

    » Significant increase in forecasting power at short horizons

    Source: Research Affiliates, based on data from Global Financial Database.

    30

    Traditional Forecasting Regression using CAPE Only Forecasting Regression using both CAPE and Modeled CAPE

    𝑟𝑡+𝑘 = 𝛼 + 𝛽 ln 𝑃𝑡

    𝐸𝑡−3 + 𝜀𝑡+𝑘 𝑟𝑡+𝑘 = 𝛼 + 𝛽 ln

    𝑃𝑡𝐸𝑡−3

    − 𝑓 𝑖𝑡 ,𝜋𝑡 + 𝜀𝑡+𝑘

    Horizon

    (Months)Coefficient

    Newey-West

    t-Stat

    Non-overlapping

    t-StatAdjusted R

    2

    120 -0.05 -20.08 -2.42 47.2%

    60 -0.12 -7.20 -4.74 36.2%

    36 -0.12 -3.97 -2.72 22.4%

    12 -0.14 -2.45 -2.10 7.6%

    6 -0.13 -2.51 -2.20 3.6%

    1 -0.10 -1.94 -1.94 0.5%

  • Current Implications

    » If current real rates were natural, not a consequence of QE

    » … and, if the resulting real bond yields were natural

    › The natural valuation levels would be lower than today, by a wide margin.

    31

    Market Shiller PE Inflation Real YieldModel PE Delta

    US (Large) 24.1 0.20% 1.84% 16.7 -31%

    Australia 14.4 1.50% 1.11% 16.0 11%

    Canada 17.3 1.27% 0.16% 14.7 -15%

    France 14.8 0.05% 0.94% 15.8 7%

    Germany 16.1 0.19% 0.40% 15.1 -6%

    Hong Kong 15.5 2.40% -0.87% 13.2 -15%

    Italy 10.6 0.19% 1.54% 16.5 55%

    Japan 24.1 0.29% 0.06% 14.6 -39%

    Spain 11.1 -0.42% 2.31% 16.9 52%

    Sweden 18.9 -0.17% 0.89% 15.8 -17%

    Switzerland 21.8 -1.40% 1.26% 16.2 -26%

    United Kingdom 11.0 0.08% 1.68% 16.6 51%

    Current Estimate (2015.09.30)

    Source: Research Affiliates, LLC, based on data from Global Financial Data, Bloomberg, and central banks of global developed countries

  • Valuation Matters…Even for the Intermediate Term

    » Understanding CAPE in a more comprehensive way

    › A 3-D valuation mountain better describe fair value of CAPE

    » Finding the ―Sweet Spot‖ for Equity Market Valuations

    › Stock prices can be high under the right condition

    › Moderate inflation and real interest rate are ideal

    › Today’s conditions are not in that sweet spot, but QE is arguably a special

    kind of easy money, perhaps fueling asset bubbles.

    » Application of the 3-D mountain valuation model

    › Valuations matter –not just in the long term, but in the short term

    › Incorporating macroeconomics conditions significantly increases short-term

    return forecasting power

    32

  • Appendix

    33

  • A 3-D Valuation Mountain

    CAPE vs. Real Interest Rate and Inflation

    » What are the ideal macroeconomic conditions for a soaring CAPE?› Common belief: rock-bottom levels of inflation and real interest rates

    › 3-D valuation mountain: moderate levels of inflation and real interest

    rates

    Source: Research Affiliates, based on data from Global Financial Database.

    34

    Median P/E at Different Inflation and Real Yield Regimes (United States, 1880.12–2013.12)

    CAPE Real RateInflation Below -1% -1% to 1% 1% to 3% 3% to 5% Above 5%

    Below -1% 11 7 17 17 14

    -1% to 1% 11 14 17 18 11

    1% to 3% 13 21 19 23 10

    3% to 5% 14 16 20 17 11

    Above 5% 10 11 9 17

    Count Real RateInflation Below -1% -1% to 1% 1% to 3% 3% to 5% Above 5%

    -100% to -1% 13 4 49 54 78

    -1% to 1% 10 31 106 83 14

    1% to 3% 34 95 257 118 22

    3% to 5% 16 89 143 35 53

    5% to 100% 118 69 80 26 0

    -

  • A 3-D Valuation Mountain

    Developed Countries (excluding U.S.)

    Source: Research Affiliates, based on data from Global Financial Database.

    35

    Median P/E at Different Inflation and Real Yield Regimes (Developed Countries, 1972.03–2013.12)

    CAPE Real RateInflation Below -1% -1% to 1% 1% to 3% 3% to 5% Above 5%

    Below -1% 12 23 7 16

    -1% to 1% 18 24 25 17

    1% to 3% 18 16 24 22 19

    3% to 5% 14 17 17 17 15

    Above 5% 14 10 11 9 11

    Count Real RateInflation Below -1% -1% to 1% 1% to 3% 3% to 5% Above 5%

    Below -1% 0 2 29 12 73

    -1% to 1% 0 125 545 240 120

    1% to 3% 14 365 1523 1061 425

    3% to 5% 61 272 541 369 386

    Above 5% 136 183 342 327 380

    -

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