Finance investment analyze

profilebostonguy90
Bodie_Essentials_of_Investments_11e_Chapter08_PPT1.pptx

The Efficient Market Hypothesis

Bodie, Kane, and Marcus

Essentials of Investments Eleventh Edition

8

Chapter

8.1 Random Walks and Efficient Market Hypothesis

Random Walk

Notion that stock price changes are random

Efficient Market Hypothesis (EMH)

Prices of securities fully reflect available information

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

2

Figure 8.1 Cumulative Abnormal Returns before Takeover Attempts: Target Companies

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

3

Figure 8.2 Stock Price Reaction to CNBC Reports

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

4

8.1 Random Walks and Efficient Market Hypothesis

Competition as Source of Efficiency

Investor competition should imply stock prices reflect available information

Investors exploit available profit opportunities

Competitive advantage can verge on insider trading

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

5

8.1 Efficient Market Hypothesis: Versions

Weak-form EMH: Stock prices already reflect all information contained in history of trading

Semistrong-form EMH: Stock prices already reflect all public information

Strong-form EMH: Stock prices already reflect all relevant information, including inside information

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

6

8.2 Implications of the EMH

Technical Analysis

Research on recurrent/predictable price patterns and on proxies for buy/sell pressure in market

Resistance Level

Unlikely for stock/index to rise above

Support Level

Unlikely for stock/index to fall below

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Implications of the EMH

Fundamental Analysis

Research on determinants of stock value, i.e. earnings, dividend prospects, future interest rate expectations and firm risk

Assumes stock price equal to discounted value of expected future cash flow

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Implications of the EMH

Active versus Passive Portfolio Management

Passive investment strategy

Buying well-diversified portfolio without attempting to find mispriced securities

Index fund

Mutual fund which holds shares in proportion to market index representation

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.2 Implications of the EMH

Role of Portfolio Management in Efficient Market

Active management assumes market inefficiency

Passive management consistent with semistrong efficiency

Inefficient market pricing leads to inefficient resource allocation

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient? Issues

Magnitude issue: Efficiency is relative, not binary

Selection bias issue

Investors who find successful investment schemes are less inclined to share findings

Observable outcomes preselected in favor of failed attempts

Lucky event issue: Lucky investments receive disproportionate attention

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient? Weak Form Tests

Weak-Form Tests: Patterns in Stock Returns

Returns over short horizons

Momentum effect: Tendency of poorly- or well-performing stocks to continue abnormal performance in following periods

Returns over long horizons

Reversal effect: Tendency of poorly- or well-performing stocks to experience reversals in following periods

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient?

Predictors of Broad Market Performance

1988—Fama and French: Return on aggregate stock market tends to be higher when dividend yield is low

1988—Campbell and Shiller: Earnings yield can predict market returns

1986—Keim and Stambaugh: Bond market data (spread between yields) can predict market returns

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient?

Semistrong Tests: Market Anomalies

Anomalies

Patterns of returns contradicting EMH

P/E effect

Portfolios of low P/E stocks exhibit higher average risk-adjusted returns than high P/E stocks

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient?

Semistrong Tests: Market Anomalies

Small-firm effect

Stocks of small firms can earn abnormal returns, primarily in January

Neglected-firm effect

Stock of little-known firms can generate abnormal returns

Book-to-market effect

Shares of high book-to-market firms can generate abnormal returns

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient? Semi-strong Tests

Semi-strong Tests: Market Anomalies

Post-earnings announcement price drift

Sluggish response of stock price to firm’s earnings announcement

Abnormal return on announcement day, momentum continues past market price

Bubbles and market efficiency

Speculative bubbles can raise prices above intrinsic value

Even if prices are inaccurate, it can be difficult to take advantage of them

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.3 Average Annual Return: Ten Size-Based Portfolios

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.4 Annual Return as Function of Book-to-Market Ratio

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.5 Cumulative Abnormal Returns after Earnings Announcements

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient?

Interpreting Anomalies

Risk premiums or inefficiencies?

Fama and French: Market phenomena can be explained as manifestations of risk premiums

Lakonishok, Shleifer, and Vishny: Market phenomena are evidence of inefficient markets

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.3 Are Markets Efficient?

Interpreting Anomalies

Anomalies or data mining?

Some anomalies have not shown staying power after being reported

Small-firm effect

Book-to-market effect

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.6 Return to Style Portfolio as Predictor of GDP Growth

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.4 Mutual Fund and Analyst Performance

Stock Market Analysis

Analysts are overly positive about firm prospects

Womack: Positive changes associated with 5% increase, negative with 11% decrease

Jegadeesh, Kim, Kristie, and Lee: Level of consensus is inconsistent predictor of future performance

Barber, Lehavy, McNichols, and Trueman: Firms with most-favorable recommendations outperform firms with least-favorable recommendations

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.4 Mutual Fund and Analyst Performance

Mutual Fund Managers

Today’s conventional model: Fama-French factors plus momentum factor

Wermers: Funds show positive gross alphas; negative net alphas after controlling for fees, risk

Carhart: Minor persistence in relative performance across managers, largely due to expense/transaction costs

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.4 Mutual Fund and Analyst Performance

Mutual Fund Managers

Berk and Green: Skilled managers with abnormal performance will attract new funds until additional cost, complexity drives alphas to zero

Chen, Ferson, and Peters: On average, bond mutual funds outperform passive bond indexes in gross returns, underperform once fees subtracted

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.4 Mutual Fund and Analyst Performance

Mutual Fund Managers

Kosowski, Timmerman, Wermers, and White: Stock-pricing ability of minority of managers sufficient to cover costs; performance persists over time

Samuelson: Records of most managers show no easy strategies for success

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.7 Mutual Fund Alphas Computed Using Four-Factor Model, 1993-2007

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.8 Persistence of Mutual Fund Performance

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

Figure 8.9 Risk-Adjusted Performance in Ranking Quarter, Following Quarter

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

8.4 Mutual Fund and Analyst Performance

So, Are Markets Efficient?

Enough that only differentially superior information will earn money

Professional manger’s margin of superiority likely too slight for statistical significance

‹#›

Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.