Principles of Corporate Finance Chapter 13 Efficient Markets and Behavioral Finance Tenth Edition Slides by Matthew Will McGraw Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved 14- 2 Topics Covered We Always Come Back to NPV What is an Efficient Market? – Random Walk – Efficient Market Theory The Evidence Against Market Efficiency Behavioral Finance Six Lessons of Market Efficiency McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 3 Return to NPV NPV employs discount rates These discount rates are risk adjusted The risk adjustment is a byproduct of market established prices Adjustable discount rates change asset values McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 4 Return to NPV Example The government is lending you $100,000 for 10 years at 3% and only requiring interest payments prior to maturity. Since 3% is obviously below market, what is the value of the below market rate loan? Assume the market return on equivalent risk projects is 10%. 10 3,000 100,000 NPV 100,000 t 10 ( 1 . 10 ) ( 1 . 10 ) t 1 100,000 56,988 $43,012 McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 5 Efficient Market Theory Weak Form Efficiency – Market prices reflect all historical information Semi-Strong Form Efficiency – Market prices reflect all publicly available information Strong Form Efficiency – Market prices reflect all information, both public and private McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 6 Efficient Market Theory Fundamental Analysts – Research the value of stocks using NPV and other measurements of cash flow McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 7 Efficient Market Theory Technical Analysts – Forecast stock prices based on the watching the fluctuations in historical prices (thus “wiggle watchers”) McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 8 Efficient Market Theory Cumulative Abnormal Return (%) Announcement Date 39 34 29 24 19 14 9 4 -1 -6 -11 -16 Days Relative to annoncement date McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 9 Efficient Market Theory Average Annual Return on Mutual Funds and the Market Index 50 40 30 20 10 0 -10 Funds -20 Market -30 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 -40 McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 10 Efficient Market Theory IPO Non-Excess Returns Average Return (%) 20 IPO Matched Stocks 15 10 5 0 First McGraw Hill/Irwin Second Third Fourth Fifth Year After Offering Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 11 Price Anomalies Log Deviations From Royal Dutch Shell / Shell T&T Parity 1973 - 2006 40.0 30.0 Deviation, % 20.0 10.0 0.0 -10.0 -20.0 -30.0 -40.0 -50.0 McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 12 Efficient Market Theory 2000 Dot.Com Boom PV (index ) March 2000 PV ( index ) October McGraw Hill/Irwin 2002 Div rg Div rg 154.6 .092 .08 154 . 6 . 092 . 074 12,883 8 ,589 Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 13 Efficient Market Theory 1987 Stock Market Crash PV (index ) pre crash PV ( index ) post crash McGraw Hill/Irwin Div rg Div rg 16.7 .114 .10 16 . 7 . 114 . 096 1193 928 Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 14 Behavioral Finance Arbitrage limitations LTCM example Factors related efficiency and psychology 1. Attitudes towards risk 2. Beliefs about probabilities McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 15 Lessons of Market Efficiency Markets have no memory Trust market prices Read the entrails There are no financial illusions The do it yourself alternative Seen one stock, seen them all McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved 14- 16 Example: How stock splits affect value Cumulative abnormal return % 40 35 30 25 20 15 10 5 0 Month relative to split -29 0 30 Source: Fama, Fisher, Jensen & Roll McGraw Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved