Why Value Investing Works So Well: Exploiting Investor Irrationality

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2008 ODIN Value Conference 29 May 2008 Why Value Investing Works So Well: Exploiting Investor Irrationality Robert Q. Wyckoff, Jr. Managing Director Tweedy, Browne Company LLC New York, NY

The real trouble with this world of ours is not that it is an unreasonable world, nor even that it is a reasonable one. The commonest kind of trouble is that it is nearly reasonable, but not quite. Life is not an illogicality; yet it is a trap for logicians. It looks just a little more mathematical and regular than it is; its exactitude is obvious, but its inexactitude is hidden; its wildness lies in wait..by G.K. Chesterton

I. Introduction Behavioral finance and its implications for investors

I. Introduction Behavioral finance and its implications for investors Recommended reading list

Recommended Reading List Influence, Robert B. Cialdini, 1984 Against the Gods, Peter L. Bernstein, 1996 When Genius Failed, Roger Lowenstein, 2000 Irrational Exuberance, Robert J. Shiller, 2000 The Contrarian Investment Strategy, David N. Dreman, 1979 The Superinvestors of Graham & Doddsville, Warren Buffet, Hermes, Columbia Business School, 1984 Academic Economics: Strength and Faults After Considering Interdisciplinary Needs, Charles T. Munger, October 3, 2003 (Herb Kay Undergraduate Lecture, University of California, Santa Barbara Economics Department) Financial Decision-Making in Markets and Firms: A Behavioral Perspective, Werner F.M. De Bondt and Richard H. Thaler, Working Paper No. 4777, National Bureau of Economic Research, June 1994 Contrarian Investment, Extrapolation and Risk, Josef Lakonishok, Andrei Shleifer and Robert W. Vishny, Journal of Finance, December 1994 Value and Growth Investing: Review and Update, Louis K.C. Chan and Josef Lakonishok, Financial Analysts Journal, January/February 2004 What Has Worked in Investing, Tweedy, Browne, 1994 The Intelligent Investor, Benjamin Graham, 1973 The Black Swan: The Impact of the Highly Improbable, Nassim Nicholas Taleb, Random House, 2007 A Demon of Our Own Design, Richard Bookstaber, John Wiley & Sons, Inc., 2007

II. History Lesson: Efficient Market Theory Warren Buffett Behavioralists 1952 Harry Markowitz: Mean/variance optimization 1960 s Samuelson, Fama, French: Efficient Market Hypothesis 1984 The Superinvestors of Graham & Doddsville The Rise of the Behavioralists: Kahneman, Thaler, de Bondt, O Dean 1992 Fama and French: Debunking of Beta 1993, 2004 Lakonishok, Shleifer and Vishny: Superiority of Deep Value vs. Growth

Yearly and Geometric Mean Returns to Value and Growth Strategies with Refined Definitions, 1969-2001 A. Large Cap Stocks Portfolio Russell 1000 S&P 500 (Deciles 9.10) Year 1 (glamour) 2 9 10 (value) Value Return Return - (Deciles 1,2) 1969-2001 4.5% 6.7% 15.6% 16.4% NA 11.4% 10.4 pps 1979-2001 7.9 10.4 18.6 20.4 15.4% 15.1 10.4 1990-2001 3.8 6.0 16.1 18.0 12.9 12.9 12.2 B. Small Cap Stocks Russell 2000 Russell 2000 (Deciles 9.10) Year 1 (glamour) 2 9 10 (value) Value Return Return - (Deciles 1,2) 1969-2001 -2.8% 4.8% 16.6% 18.3% NA NA 16.5 pps 1979-2001 -1.8 7.8 20.8 22.8 16.0% 13.8% 18.8 1990-2001 -6.2 3.6 18.4 17.7 13.4 11.0 19.4 N/A = not available. Portfolio Source: Financial Analysts Journal, January/February 2004 Value and Growth Investing: Review and Update, Chan, Louis K.C., Lakonishok, Joseph

Yearly and Geometric Mean Returns to Value and Growth Strategies with Refined Definitions in EAFE Markets, 1989-2001 Portfolio EAFE Free (Deciles 9,10) Year 1 (glamour) 2 9 10 (value) Return - (Deciles 1,2) 1989 35.6% 33.5% 48.9% 53.2% 21.5% 16.5 pps 1990-35.4-33.6-24.8-23.6-29.9 10.3 1991-5.5 0.6 8.2 15.8 8.6 14.5 1992-18.4-15.5-4.6 2.0-6.3 15.7 1993 13.7 17.5 41.5 49.3 29.3 29.8 1994-4.8-1.7 0.3 3.2-2.1 5.0 1995 1.5 1.1 1.4 5.8 9.6 2.3 1996 0.9 10.2 10.3 12.4 11.4 5.8 1997-3.3-4.5 3.5 3.2 13.2 7.3 1998 12.9 8.9 6.3-5.9 12.4-4.8 1999 84.7 46.7 26.9 26.5 33.2-39.0 2000-27.8-21.3 8.1 15.8-7.3 36.5 2001-49.5-34.2 0.7 11.5-16.3 47.9 Period Mean -4.5-2.0 8.2 12.3 4.5 13.5 Source: Financial Analysts Journal, January/February 2004 Value and Growth Investing: Review and Update, Chan, Louis K.C., Lakonishok, Joseph

III. Cognitive Biases and Agency Effects Lie at the Root of the Spread Behavioral Errors - Prospect theory: Kahneman and Tversky - Thaler s Endowment Effect - Availability Effect - Mental accounting: Frequency of valuation

Percentage of Periods When Returns on Stocks Beat the Returns on Treasury Bond and Bills: 1871 through 1992 Percentage of the Percentage of the Holding Periods When Stocks Periods When Stocks Period Beat Treasury Bonds Beat Treasury Bills 1 Year 59% 64% 2 Years 65 69 5 Years 71 75 10 Years 82 84 20 Years 94 99 30 Years 100 100 Source: The Road to Wealth: Long Term Investment in Stocks, Tweedy, Browne Company, 1993.

III. Cognitive Biases and Agency Effects Lie at the Root of the Spread Behavioral Errors - - - - Prospect theory: Kahneman and Tweedy Thaler s Endowment Effect Availability Effect Mental accounting: Frequency of valuation Agency Effects - Pre-occupation with short term performance, near term volatility, benchmarking and tracking error - Herding, bunching, benchmark hugging and bias for glamour

IV. The Overconfidence Factor The tech bubble and day trading cabbies Swedish drivers and university graduate students Dreman s study of EPS forecast error

Forecast Error as a Percent of Reported Earnings 1973-1996 Forecast Error 70% 60% 50% 40% 30% 31% 32% Average Analysts Error: 44% Median Analysts Error: 42% 41% 29% 27% 25% 27% 35% 40% 48% 45% 43% 52 % 52 % 45% 42% 57% 65% 54 % 52 % 50 % 42% 47% 31% 20% 10% 0% 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 Source of data: A-N Research Corp. (Formerly the research department of Abel Noser Corp.) and I/B/E/S, 1973-1996; Contrarian Investm ent Strategies: The Next Generation, by David Dreman, 1998. Year

IV. The Overconfidence Factor The tech bubble and day trading cabbies Swedish drivers and university graduate students Dreman s study of EPS forecast error O Dean and Barber s turnover studies Mutual fund turnover

Mutual Funds: Annual Turnover Rates 1959 16.4% 1979 63.3% 1998 83% The Velocity of Learning and the Future of Active Management, Jason Zweig, Economics and Portfolio Strategy, Peter L. Bernstein, February 1, 1999

IV. The Overconfidence Factor The tech bubble and day trading cabbies Swedish drivers and university graduate students Dreman s study of EPS forecast error O Dean and Barber s turnover studies Mutual fund turnover Hedge fund mania/leverage and concentration

V. Examples of Two Rational Institutional Superinvestors FMC Corporation

FMC Corporation Pension Fund Investment Record 1980-2007 Annualized Returns Periods Ending December 31, 2007 27 yrs 25 yrs 20 yrs 15 yrs 10 yrs 5 yrs FMC 14.18% 13.45% 12.48% 12.38% 9.95% 11.78% Wilshire TUCS % Rank 1 1 4 2 5 51 S&P 500 12.31% 12.73% 11.82% 10.49% 5.92% 12.84% Wilshire TUCS 13 4 9 23 86 33 % Rank

FMC Corporation 1980-2007 Consistency or Inconsistency of Returns? FMC outperformed the S&P 500: 13 out of 27 calendar year periods 12 out of 25 rolling 3 year periods 10 out of 23 rolling 5 year periods 8 out of 18 rolling 10 year periods 48% 48% 43% 44%

V. Examples of Two Rational Institutional Superinvestors FMC Corporation Grinnell College

Grinnell College Endowment Fund Performance Periods Ending June 30, 2006 1 Year 3 Years 5 Years 10 Years Grinnell 9.3% 13.3% 11.5% 13.7% S&P 500 8.6% 11.2% 2.5% 8.3%

VI. Getting Out of Our Own Way Awareness of human behavioral bias Checklist

Avoiding Irrationality Don t obsess over near-term volatility and the randomness of markets View risk as more than an algorithm Avoid short cuts and oversimplification Don t frenetically transact Be wary of the crowd Limit the government s tax take Diversify Think long term and be humble Read your Benjamin Graham

Tweedy, Browne Company LLC