Title: Efficient Market Hypothesis vs. Behavioral Finance
1Efficient Market Hypothesis vs. Behavioral Finance
- Market Efficiency
- Random walk versus market efficiency
- Versions of market efficiency
- Technical analysis vs. fundamental analysis
- Predictors of future returns and market anomalies
- Behavioral finance
2Cumulative Abnormal Returns Around Takeover
Attempts Target Companies
3Stock Price Reaction to CNBC Reports
4EMH and Competition
- Stock prices fully and accurately reflect
publicly available information. - Once information becomes available, market
participants analyze it. - Competition assures prices reflect information.
- What does competition mean here? -- page 351
- Is there a role for active portfolio management
in an efficient market?
5Forms of the EMH
- Weak
- Semi-strong
- Strong
- See page 347-348.
6Types of Stock Analysis
- Technical Analysis - using prices and volume
information to predict future prices. - Weak form efficiency technical analysis
- Chartist
- Relative strength versus resistance levels
- Fundamental Analysis - using economic and
accounting information to predict stock prices. - Semi strong form efficiency fundamental analysis
7Technical Analysis
- Relative strength page 348
- Resistance levels upper bound or
- Support levels lower bound
- Whether a workable technical trading rule will
continue to work in the future once it becomes
publicly known?
8Fundamental Analysis
- Uses earnings and dividend prospects of the firm,
expectations of future interest rates, and risk
evaluation of the firm to determine proper stock
prices. - Fundamental analysis is much beyond identifying
well-run firms with good prospects. It is to
identify companies better than every elses
estimate.
9Active or Passive Management
- Active Management
- Security analysis
- Timing
- Passive Management
- Buy and Hold
- Index Funds
10Market Efficiency Portfolio Management
- Even if the market is efficient a role exists for
portfolio management - Appropriate risk level
- Tax considerations
- Other considerations
11Empirical Tests of Market Efficiency
- Event studies
- Assessing performance of professional managers
- Testing some trading rule
12Issues in Examining the Results
- Magnitude Issue
- Selection Bias Issue investing in small stocks
- Lucky Event Issue
13Weak-Form Tests
- Serial Correlation
- Momentum
- Returns over Long Horizons
14Experience with 911
- Anticipating market chaos, panic selling and a
disastrous loss of value in the wake of the
attacks, the NYSE and the Nasdaq remained closed
until September 17, the longest shutdown since
1933. Moreover, many trading, brokerage and other
financial firms had offices in the World Trade
Center and were unable to function in the wake of
the tragic loss of life and collapse of both
towers. - On the first day of NYSE trading after 9/11, the
market fell 684 points, a 7.1 decline, setting a
record for the biggest loss in exchange history
for one trading day. At the close of trading that
Friday, ending a week that saw the biggest losses
in NYSE history, the Dow Jones was down almost
1,370 points, representing a loss of over 14. - Major stock sell-offs hit the airline and
insurance sectors as anticipated when trading
resumed. Hardest hit were American Airlines and
United Airlines, carriers whose planes were
hijacked for the terrorist attacks. - American Airlines (NYSEAMR) stock dropped from a
29.70 per share close of September 11 to 18.00
per share close on September 17, a 39
decline. United Airlines (NYSEUAL) stock dropped
from 30.82 per share close to 17.50 per share
on the close on September 17, a 42 decline.
15Also Program trading algorithmic trading and
high-frequency trading According to the New York
Stock Exchange, in 2006 program trading accounts
for about 30 and as high as 46.4 of the trading
volume on that exchange every day. http//www.prog
ramtrading.com/ The greatest point loss of the
Dow Jones Industrial Average was 777.68 points on
September 29, 2008.
16Predictors of Broad Market Returns
- Fama and French
- Aggregate returns are higher with higher dividend
ratios - Campbell and Shiller
- Earnings yield can predict market returns
- Keim and Stambaugh
- Bond spreads can predict market returns
17Anomalies
- P/E Effect
- Small Firm Effect (January Effect)
- Neglected Firm
- Book-to-Market Effects
- Post-Earnings Announcement Drift
- http//biz.yahoo.com/research/earncal/today.html
18Returns in Excess of Risk-Free Rate and in excess
of the Security Market Line for 10 Size-Based
Portfolios, 1926 2005
19Average Monthly Returns as a Function of the
Book-To Market Ratio, 1963 2004
20Cumulative Abnormal Returns in Response to
Earnings Announcements
21Mutual Fund Performance
- Some evidence of persistent positive and negative
performance. - Potential measurement error for benchmark
returns. - Style changes
- May be risk premiums
22Persistence of Mutual Fund Performance
23Behavioral Finance
- The premise of behavioral finance is that
conventional financial theory ignores how real
people make decisions and that people make a
difference. - Investors Do Not Always Process Information
Correctly - Investors Often Make Inconsistent or
Systematically Suboptimal Decisions
24Behavioral Biases
- Framing
- Decisions seem to be affected by how choices are
framed page 387 - example
- Mental Accounting
- A special form of framing in which people
segregate certain decisions - example
- Regret Avoidance
- Individuals would have more regrets when their
decisions are more unconventional - example
- Prospect Theory
- Traders become risk seeking after they lose money
25Prospect Theory Graphs
26Prospect theory (2)
- Loss aversion utility depends not on the level
of wealth from current levels. - The convex curvature to the left of the origin
will induce investors to be risk seeking rather
risk averse when it comes to losses - Traders in T-bond futures often take
significantly greater risk in afternoon sessions
following morning sessions in which they have
lost money
27Limits to Arbitrage
- Fundamental Risk
- Implementation Costs
- Model Risk
28Limits to Arbitrage and the Law of One Price
- Violations
- Siamese Twin Companies
- Equity Carve-outs
- Closed-End Funds
29Bubbles and Market Efficiency
- The bust of dot-com bubble
- Financial crisis housing price bubble
- Hard to be justified by the position that
security prices represent rational, unbiased
assessments of intrinsic value. - Dynamic risk taking excessive risk taking in
bubble period
30Technical Analysis and Behavioral Finance
- Trends and corrections
- momentum (page 393)
- Dow theory primary trend, secondary trend, and
tertiary trend - see Figure 12-4
- Moving averages
- Breadth the spread between the number of stocks
that advance and decline in price.
31Technical Analysis and Behavioral Finance
- Trin statistic
- Confidence index
- Put/call ratio
32Investment-based CAPM
- Cochrane (1991, 1996)
- Low costs of capital imply high NPV of new
projects and high investment - High costs of capital imply low NPV of new
project and low investment - Inverse relationship between expected return and
investments