Efficient Markets and Behavioral Critique: Understanding the Efficient Capital Market

1. CHAPTER 8 Efficient Markets and Behavioral Critique

2. Efficient Capital Market • Market in which securities prices reflect all available information • all securities are fairly priced • Investors get exactly what they pay for • Firms get exactly what their stocks and bonds are worth when they sell them.

3. Price behavior in efficient market • FCC Corporation is developing a camera that will double the speed of the auto-focusing system. It is highly profitable and the NPV will be positive. • Day 0 represents the announcement day. Before the announcement day, FCC’s stock sells for $140 per share. The NPV per share is $40, so the new price will be $180 once the value of the new project is fully reflected. • Hence, the solid line represents the path of stock price in an efficient market. The price will adjust immediately and no further change in the price of stock will take place later. • The broken line represents a delayed reaction. It takes 8 day for the market to fully incorporate the information. • The dotted line indicates an overreaction and subsequent adjustment to the correct price • Broken and dotted line show the path of the stock price if markets are inefficient.

4. Price behavior in efficient market

5. Figure 8-1 Cumulative Abnormal Returns Surrounding Takeover Attempts price response of 194 firms that were targets of takeover attempts

6. Figure 8-2 Returns Following Earnings Announcements majority of the profit is in the first 30 minutes

7. Three Versions of EMH • Weak-form EMH: prices reflect all past info • Semistrong-form EMH: prices reflect all public (past&current) info • Strong-form EMH: prices reflect all (past&current, public&private) info Strong Semi-strong Weak Form Form Form

8. Three Versions of EMH • Weak-form: • price reflect all past info. • using historical data to predict future prices is useless • Semi-strong form • price reflect all public info (current and past) • using historical data and available financial statement to predict future price is useless • Strong form • price reflect all information: past, public and private • cannot predict price even with inside information

9. Implications of EMH: price follow a random walk • Price change randomly or follow a random walk. Why? • EMH: price is in equilibrium or reflect the true value • Price < true value: more investors to buy, push the price up to the true level • Price > true value: more sell, drive the price down to the true level • Price will stay at the true level if there is no new info • New info, price will change accordingly • New information is unpredictable • stock price change is unpredictable

10. Implications of EMH: Technical analysis • using past info to search for patterns in stock prices to identify mispriced stocks • EMH implies that technical analysis is useless because all past info is incorporated in current stock price. If one knows about the pattern, other people will also know • Example: you believe that you discover a pattern in stock price, the price should be $50 instead of current price is 45. • you want to buy stock at 45 and sell it tomorrow for 50. Is it possible? • If you know, sellers also know about it, the price will be pushed up to 50 before you can buy the stock

11. Implications of EMH: Fundamental analysis • Technical: look back at the past to forecast future price • Fundamental: look ahead to forecast future info and then forecast true price. To forecast stock price, we need future cash flow and discount rate • Use available financial statement to forecast earnings and dividends perspectives of the firms • Calculate risk of firm, using CAPM to get the discount rate • calculate the true value and compare with current price • current price > true • Current price < true • EMH suggest that fundamental adds little value • public info is available to everyone • not much difference in analysts’ reports • price reflect true value • must be better than other analysts to make abnormal profit

12. Implications of EMH: active and passive portfolio management • Active: attempt to find mispriced securities • Passive: no attempt, just buy and hold a well-diversified portfolio • EMH: active is wasted effort • securities are fairly priced • lose transaction cost • Example: create a portfolio that follows the index S&P 500

13. Implications of EMH for Investment Policy • Technical Analysis: useless • Fundamental Analysis: adds little value • Active versus Passive Portfolio • Management: passive wins EMH You can’t “Beat the Market”

14. Common Misconceptions about EMH • Efficient markets do not mean that you can’t make money • They do mean that, on average, you will earn a return that is appropriate for the risk undertaken and there is not a bias in prices that can be exploited to earn excess returns • Market efficiency will not protect you from wrong choices if you do not diversify – you still don’t want to put all your eggs in one basket

15. The Role of Portfolio Managementin an Efficient Market • Need for a well-diversified portfolio: • Tax considerations • high tax-bracket: prefer municipal bond • high tax-bracket: prefer securities that provide capital gains as opposed to interest income since gains are tax less heavily • Individual considerations • GM executives, performance depends on GM stocks, should not invest too much in auto stocks • Age considerations • older investors might avoid long-term bond • younger might choose long-term bond

16. But Are Markets Efficient? Hard question! • The Magnitude Issue • The Selection Bias Issue • The Lucky Event Issue

17. Magnitude • You manage a portfolio $1 billion. If the return is 0.1%/year, should make 1 mil/year. • A very small deviation from the true price can result in large profit • Standard deviation of S&P 500/ year = 20% • When a manager makes a lot of money on a large portfolio, does it mean the market is not efficient?

18. The selection bias • When you discover a technique to beat the market, should you • publish it to get reputation • keep it as secrets to make money • Technique available in the market is the one that cannot make abnormal profit • EMH only looks at those techniques available in market, and conclude that these cannot beat the market, it is not necessarily true.

19. Lucky event • Read WSJ, some investors outperform others, is this evidence against EMH? • Flip a fair coin, 50% head, 50% tail, 50 times, on average, will get 25 times H, 25 times T. • If someone can get more than 25 times H, does it mean he is better than you?

20. Test of EMH: weak form-pattern in stock return • short-horizon (<1 year): rank stocks based on past performance • Winner • Loser • Next 3-12 months, winners continue to outperform losers • Momentum strategy • Long horizon • reversal effect, loser outperform winner • Contrarian strategies • Fad hypothesis • short term: market overreact to news, sell more losers, price(losers) < true level, buy more winner, price(winner) > true level. Therefore, winner continue to outperform loser • Long term: market makes correction, price of loser goes back up to the true level, winner goes back down to the true level, loser outperform winner

21. Test of EMH: semi-strong form, test of fundamental analysis • Anomalies: evidence that contradicts EMH • P/E Effect: low P/E, High returns, • Small-firm-in-January effect: Small firm, High return, in January, • Neglected-Firm Effect: Less known firms have higher return, • Book-to-Market effect: high B/M, high returns • Post-earnings effect: sluggish response of price to earnings announcements

22. January effect • Studies of returns in the US and other major financial markets reveal strong difference in return behaviors across months of the year • Returns in January is much stronger than returns in any other month of the year. This is called January effect and most of the January effect can be traced to the first 2 weeks of January • The January effect is much more accentuated for small firms than for large firms

23. Return in January

24. The size effect in January

26. Explanation for January effect • Tax-loss selling by investors: at the end of the year when investors, starting to worry about taxes, sell some stocks that are down so the losses can be written off against capital gains. This selling causes stocks to go down near the end of the year and back up in January when investors buy back the stocks they sold.

27. Weekend effect • The weekend effect is another phenomenon that has persisted over time in the US as well as in international markets. It refers to the differences in Monday return and the return of other days in the week • Over the year, the return on Monday has been consistently lower than the return of other days in the week

30. Weekend effect: explanations • the weekend effect might be the results of bad news being revealed after Friday close and during the weekend. • Others state that the weekend effect might be linked to short selling, which would affect stocks with high short interest positions. Or, the effect could simply be a result of traders' fading optimism between Friday and Monday. • May be attributed to absence of trading over the weekend. However, this should not be the reason if we consider the return after the holidays. Usually, the returns after holidays are positive not negative

32. Size effect

33. Book-to-market effect

34. Response to Earnings Announcements • Form stocks into 10 portfolios based on magnitude of earning surprise (difference between historical analysts’ forecast and actual announcement) Portfolio 1 being the lowest, 10 being the highest. • Positive surprise firms continue to have positive abnormal return. Negative surprise firms continue to have negative abnormal return • higher surprise has higher abnormal return • No explanation so far.

35. Figure 8-5 Cumulative Abnormal Returns in Response to Earnings Announcements

36. Problems in Testing EMH • Most tests require risk adjustments • Risk adjustment require a model of risk (typically uses CAPM) • Tests of risk-adjusted returns are joint tests • of the EMH and the risk adjustment procedure • Rejecting risk-adjustment procedure leaves • no conclusions about EMH • EMH is essentially untestable.

37. Tests of the Strong-form EMH • With private info, can we beat the market? • SEC regulations • insider register all trading activities • publish all these trades • insider must report large trades to SEC within 2 days

38. Are markets efficient? • Anomalies: momentum, contrarian, size, book-to-market, P/E ratio, post announcement drift, etc. • Evidence against EMH • market is efficient but sources of risk are not fully identified • On going debate

39. Reality Check of the Semistrong-form EMH Mutual fund performance Skilled equity investment professionals do not consistently beat the market.

40. Figure 8-6 Estimates of Individual Mutual Fund Alphas

41. Figure 8-7 Persistence of Mutual Fund Performance

42. Conclusion • Example: 2 finance persons walk on street, one see $20 bill, and is going to pick it up, the other says: don’t bother, if it was real money, someone else would have picked it up already. • The same idea applies to the market • Market is very competitive, generally efficient. • However the evidence of anomalies suggest that there might be reward for hard-working, intelligent, creative investors.

43. Summary • Research shows stock prices tend to follow a random walk • Three forms of the efficient market hypothesis • Technical analysis • Fundamental analysis • Empirical studies have generally shown that technical analysis does not generate trading profits • Several anomalies exist regarding fundamental analysis • Professionally managed funds generally cannot consistently beat the market