Equity Risk Premium: Expectations Great and Small

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Equity Risk Premium: Expectations Great and Small

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New models and assumptions to explain historical data. 2nd thread ... Stock Returns. 1926-1992. 1871-1925. 1802-1870. III. II. I. Source: Siegel (1994) ... – PowerPoint PPT presentation

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Title: Equity Risk Premium: Expectations Great and Small


1
Equity Risk Premium Expectations Great and Small
  • Richard A. Derrig and Elisha D. Orr
  • Bowles Symposium
  • April 2003

2
Equity Risk Premium (ERP)
  • Definition
  • Difference between the market return
  • and a risk-free return

3
US Equity Risk Premia SP 500 1926-2002
Horizon Equity Returns Risk-Free Return ERP
Short 12.20 3.83 8.37
Inter 12.20 4.81 7.40
Long 12.20 5.23 6.97
Source Ibbotson Yearbook (2002) and December
2002 Market Report
4
Why the ERP is Important for Actuaries ?
  • Universally accepted benchmark for pricing risk
  • Input into simple CAPM and Fama-French 3-factor
    model
  • Affects other cost of capital estimates and
    discount rates
  • Market value of liabilities

5
Paper Objectives
  • Introduction to the ERP Puzzle
  • Types of ERP
  • Time Series Analysis
  • Catalogue ERP Puzzle Literature
  • Selection of an ERP
  • Summary

6
ERP Puzzle
  • Mehra and Prescott (1985)
  • Anomalous results when historical realized ERP
    compared to asset pricing theory values
  • Otherwise, must assume risk aversion level
    outside of reasonable range
  • Led to literature to solve the ERP puzzle

7
Literature to Solve the Puzzle
  • 1st thread (Behavioral Finance)
  • New models and assumptions to explain historical
    data
  • 2nd thread
  • Estimates of the ERP from standard economic
    models
  • Catalogue in Appendix B

8
ERP Types
  • Geometric vs. arithmetic
  • Short vs. long investment horizon
  • Short vs. long run expectation
  • Unconditional vs. conditional
  • US vs. international market data
  • Data sources and periods
  • Real vs. nominal returns

9
ERP using same historical data (1926-2002)
Investment Horizon Type of Average ERP Historical Return
Short Arithmetic 8.4
Short Geometric 6.4
Inter Arithmetic 7.4
Inter Geometric 5.4
Long Arithmetic 7.0
Long Geometric 5.0
Source Ibbotson Yearbook (2002) and December
2002 Market Report
10
Converting from Geometric to Arithmetic Returns
  • Formula
  • AR GR var/2,
  • var, variance of the return process

11
Time Series Analysis
  • Stationarity Assumption
  • Supported by ANOVA regressions
  • ARIMA model projects future years as average of
    data
  • No significant time trends
  • Mean of full Ibbotson series and subset (1960)
    not statistically different

12
Why Different Estimates ?
  • Historical
  • 1926-2002
  • 1802-2001 (Earlier period)
  • Dividend Growth Model
  • Next Ten Years Remainder of 75 Years
  • Historical ? Expected
  • Conditional versus Unconditional expectations

13
Short-Horizon ERP bySub-periods
I II III
1802-1870 1871-1925 1926-1992
Stock Returns 7.0 6.6 6.6
Short-term Govts 5.1 3.2 0.5
ERP 1.9 2.8 6.1
Source Siegel (1994)
14
Catalogue of ERP Estimates
  • Social Security (1999, 2001)
  • Puzzle Research
  • Campbell and Shiller (2001)
  • Arnott and Ryan (2001), Arnott and Bernstein
    (2002)
  • Fama and French (2002)
  • Ibbotson and Chen (2003)
  • Constantinides (2002)

15
Catalogue of ERP Estimates (Cont.)
  • Financial Analyst Estimates
  • Claus and Thomas (2001)
  • Harris and Marston (2001)
  • Surveys
  • CFOs, Graham and Harvey (2002)
  • Financial economists, Welch (2000 2001)
  • Behavioral Approach

16
The Next 10 Years
  • Social Security
  • Lower return over next 10 years
  • Remainder of 75 years likely to be similar to
    historical returns
  • Campbell and Shiller
  • Current P/E and Div/P ratios far from mean
  • With mean reversion assumption, dismal forecast
    for next ten years
  • Market decrease since 1999 is -37.6 or
  • -14.6 annual

17
TIPSInflation-Indexed Treasury Securities
Maturity Coupon Issue Rate Yield to Maturity
1/11 3.500 1.763
1/12 3.375 1.831
7/12 3.000 1.878
4/28 3.625 2.498
4/29 3.875 2.490
4/32 3.375 2.408
Source WSJ 2/24/2003
18
Behavioral Finance
  • Benartzi and Thaler (1995)
  • Start with prospect theory
  • Loss Aversion
  • Add mental accounting
  • Myopic Loss Aversion

19
Selecting an ERP
  • Rely on past data to forecast the future
  • OR
  • Analyze the past and apply informed judgment as
    to future differences

20
What You Need To Know About ERP Estimates
  • Range of estimates
  • Appendix B
  • Data and terminology
  • Underlying assumptions
  • Your independent analysis is required if estimate
    differs from historical average

21
Where to Go From Here
  • Ibbotson and Chen (2003)
  • Appendix C
  • Fundamental components of the historical ERP
  • Change estimates based upon good judgment
  • The puzzle is not yet solved
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