Chap 9 Flashcards
Investor Behavior and Security Prices
Overconfidence:
Self-attribution bias
Loss Aversion
Overreaction
Underreaction
Belief perseverance
Anchoring
Familiarity Bias
Behavioral finance:
market participants make systematic mistakes when they invest, and those mistakes create persistent inefficiencies in the market
Anchoring:
Individuals attempting to predict or estimate some unknown quantity place too much weight on information that they have at hand, even when that information is not particularly relevant.
Investors tend to predict faster (slower) sales growth when they know the past growth rate has been high (low).
Investors estimate future market returns anchored on the market’s recent past returns.
Self-attribution bias (Investor Behavior)
Investors tend to take credit for successes and blame factors out of their control for failures.
These biases may cause investors to trade too often, leading to higher transaction costs and much lower returns.
Loss Aversion (Investor Behavior)
the tendency to exhibit risk-averse behavior when confronting gains and risk-seeking behavior when confronting losses
Efficient Markets Hypothesis (EMH):
stock prices (and prices in other financial markets) rapidly incorporate new information.
Investors should not expect to earn abnormal returns consistently.
Breadth of the Market
Looks at number of stock prices that go up (advances) versus number of stock prices that go down (declines).
The number of advances and declines reflects the underlying sentiment of investors.
–The market is strong when advances outnumber declines.
–The market is weak when declines outnumber advances.
Data on advances and declines are widely available.
Market Volume
Obvious reflection of the amount of investor interest in stocks.
Increasing volume during a rising market is a positive sign that the upward movement in stocks will continue.
When stocks have been moving up and volume begins to drop off, that may signal the end of the bull market.
Easy statistic to track; reported by numerous sources
Momentum
tendency for stocks that have gone up recently to keep going up or the tendency for stocks that have gone down to continue going down
Weak Form EMH:
Past data on stock prices are of no use in predicting future stock price changes.
Stock prices move at random
Investors should purchase a diversified portfolio and hold it
Abnormal return (alpha):(formula)
Abnormal return (or alpha) = Actual return - Expected return
Levels of the EMH
Weak Form EMH
Semi-Strong Form EMH
Strong Form EMH
Market Anomalies’s effects : ((Size Effect)
Small firms tend to earn positive abnormal returns of as much as 5% to 6% per year.Small firms may offer higher returns than larger firms, even after adjusting for risk
Short Interest
the number of shares of stocks sold short in the market at any point in time.
–The more stocks that are sold short, the higher the short interest
New Highs-New Lows (Trading Rules)
Measures the difference between stocks reaching a 52-week high and stocks reaching a 52-week low.
A 10-day moving average is plotted on a graph to view trends.Used as a signal to buy or sell stocks.
Market is strong when highs outnumber lows.
Market is weak when lows outnumber highs.
Representativeness:
cognitive biases that occur because people have difficulty thinking about randomness in outcomes.
Odd-Lot Trading
Many small traders deal in transactions of fewer than 100 shares, or odd-lots
Market Anomalies’s effects : (Calendar Effects)
Stock returns may be closely tied to the time of year or time of the week.
Example: January effect (the tendency of small-cap stocks to outperform large-cap stocks by an unusually wide margin in the month of January)