Literature Flashcards
What is the article Weber & Camerer “the disposition effect in securities trading” about?
- It is about the disposition effect: tendency to sell assets that have gained value (“winners”) and sell stocks that have recently lost value (“losses”). Disposition effect can be explained by 2 factors of prospect theory:
- People value gains and losses relative to a reference point = reference effect
- Tendency to face risk when faced with losses and avoid risk when a certain gain is possible = reflection effect.
- Weber & Camerer designed an experiment to see if subjects would exhibit disposition effects.
- Results: contrary to Bayesian optimization, subjects did tend to sell winners and keep losers. But, if the shares were automatically sold after each period, the disposition effect was greatly reduced.
What were the hypotheses of Weber & Camerer in “The disposition effect in securities trading: an experimental analysis”?
- The reference point used was the original purchase price, because if the reference point is the current price, there is no disposition effect. 2 periods.
- Hypotheses made for markets in which prices are independent of investor behavior (perfect competition).
- Main hypothesis:
- Number of shares sold will be smaller for losing assets than for winning assets.
- H1: Purchase price reference point:
- Subjects sell more shares when the sale price is above the purchase price than when the sale price is below the purchase price
- H2: Last period reference point:
- Subjects sell more shares when the sale price is above the last period price than when the sale price is below the last period price.
- H3: Automatic selling because selling a stock requires a deliberate action:
- Disposition effects are smaller when assets are automaticcaly sold than when selling is deliberate.
- H4: trading volume is positively correlated with the size of price changes:
- A larger price will change the salience of a stock and increase trading volume.
What was the experimental design in Weber and Camerer “The disposition effect in securities trading: an experimental analysis”?
- Portfolio decisions before each of 14 periods, sell and buy 6 risky assets at announced prices, prices generated by a random process and not determined by trading actions of the subjects because they were interested in isolating the disposition effect.
- Subjects got 10 000, not short sell or borrow. 2 types of sessions: session I: deliberate selling, holdings of the shares equal to last period. Session II: automatic selling: all shares immediately sold but subjects could buy back.
- Price of each asset would rise or fall, different chances:
- ++:65%, +:55%, –=35% etc.
- Subjects did not know which asset had which label (A-F), but they knew distribution.
- Independent from that was the size of the price rise, the expected value of price change for a randomly chosen stock was zero.
- Subjects had to infer distribution from past data. A Bayesian subject would continually update her probabilities, based on observed price movements. The share with the most price increases is the most likely to have the trend: ++.
Why did they choose that experimental design in Weber & Camerer (1998), The disposition effect in securities trading: an experimental analysis?
- Design had an important advantage: since the share that has risen most frequently is most likely the ++ share, the share investors should be least eager to sell.
- Similarily, the most frequent loser is most likely –, the investors should be eager to sell it.
- So: disposition effect is clearly a mistake.
What were the results in Weber and Camerer (1998), The disposition effect in securities trading: an experimental analysis?
- H1: nearly 60% of the shares sold were winners and 40% were losers. No substantial difference LIFO or FIFO.
- H2: price of the last period is adopted as a reference point.
- If this is true: more shares sold after (GG,LG) than (LL,GL).
- Result: twice as many units where sold when the price rose in the last period. But in experiment II, with automatic selling, the effect almost completely dissappears.
- So the disposition effect can be traced to a reluctance to sell deliberately, rather than an eagerment to hold to losing shares.
- H3: Automatic selling does wipe out the disposition effect. Disposition coefficient alpha is zero if there is no disposition effect and positive if there is. Alpha 1 is not statistically equal to alpha II.
- H4: price change is correltaed with volume traded = cannot be refected.
Both mean reversion and disposition effect existed here.
What is Odean (1998), “Are Investors Reluctant to Realize Their Losses” about,
- Odean tests the disposition effect (Shefrin and Statman), the tendency of investors to hold losing investments too long and sell winning investments too soon, by analyzing trading records for 10,000 accounts at a large discount brokerage house.
- Their behavior demonstrate a strong preference for realizing winners rather than losers. Their behavior does not seem to be motivated by the desire to rebalance portfolios or to avoid the higher trading costs of low priced stocks. Nor is it justified by subsequent portfolio performance. For taxable investments, it is suboptimal and leads to lower after-tax returns. Tax-motivated selling is most evident in December.
What is the methodology in Odean (1998), Are Investors Reluctant to Realize Their Losses?
- The study tests whether investors sell their winnings too soon and hold losers too long. It also investigates tax-motivated trading in December.
- Reference point: purchase date. 97 000 transactions: compare the selling price for each stock and determine whether it has been sold for a gain or a loss.
- Each stock that is in that portfolio but is not sold is considered a paper gain or loss. Comparing the high or low to the average purchase price. It both its daily high and low are above the average purchase price, then it is counted as a paper gain.
- PGR = proportion of Gains realized and PLR = proportion of losses realized.
- PGR=1/2
- PLR=1/4
- Any test for the disposition effect = joint hypothesis that people sell gains more readily than losses and of the specification of the reference point.
- Primary finding: investors are reluctant to sell their losers and prefer to sell winners.
- Null hypothesis: PGR<plr: this is rejected.>
<li>In December: some investors do engage in tax-motivated selling in December. </li><li>The investors does not seem to appear to be motivated by a desire to rebalance portfolios or reluctance to incure trading costs. Nor is it justified by subsequent portfolio performance.
<ul>
<li>It leads to lower returns, particularily for taxable accounts. </li>
</ul>
</li></plr:>
What is Bernatzi and Thaler (1995), “Myopic Loss Aversion and the Equity Premium Puzzle” about?
- The equity premium puzzle refers to the empirical fact that stocks have outperformed bonds over the last century by a large margin. 2 explanations based on behavioral concepts:
- Loss averse investors: more sensitive to losses than to gains
- Evaluate their portfolios frequently
- Leads to myopic loss aversion.
- Using simulations, we find that the size of the equity premium is consistent with the parameters of prospect theory if investors evaluated their portfolios annually.
- Difference returns stocks and fixed income securities = 7%, if only risk aversion, it would be 30 –> why is the equity premium so large or why is anyone willing to hold bonds?
What is mental accounting in Bernatzi and Thaler (1995), Myopic Loss Aversion and the Equity Premium Puzzle?
- Mental accounting refers to the implicit methods individuals use to code and evaluate financial outomes: transactions, investments and gambles.
How often are portfolios evaluated in Bernatzi and Thaler (1995), Myopic Loss Aversion and the Equity Premium Puzzle?
- They use samples from the historical (1926-1990). They rank the returns from best to worst –> it is possible to compute the prospective utility of the given asset for the specified holding period.
- Nominal is preferred to real, because that is the way returns are usually given, bonds a better substitute than T-bills.
- The point where the curves cross is the evaluation period at which the stocks and bonds are equally attractive. This is 13 months for nominal and for real 10-11 months. One year is highly plausible.
- Most frequent allocation between stocks and bonds is 50-50, with the average allocation to stocks below 50%. Stocks become more attractive as the evaluation period increases.
- Pension funds: the CFO is not expected to remain in this job forever, so a shorter horizon. Therefore there is a conflict of interest between the pension fund manager and the stockholders. Agency costs produce myopic loss aversion.
What is the conclusion on Bernatzi and Thaler (1995), Myopic Loss Aversion and the Equity Premium Puzzle?
- Equity premium puzzle is a puzzle within the standard expected utility-maximizing paradigm. Mehra and Prescott: impossible to reconcile the high rates of return on stocks with the very low risk-free rate.
- Solution: combine high sensitivity to losses with a prudent tendency to frequently monitor one’s wealth. So people demand a large premium to accept return variability.
- Myopic loss aversion is a possible solution to Mehra’s and Prescotts puzzle.
What is Gneezy, Kapteyn & Potters (2003), Evaluation Periods and Asset Prices in a Market Experiment about?
- Gneezy and Potters test whether the frequency of feedback information about the performance of an investment portfolio and the flexibility with which the investor can change the portfolio influence her risk attitude in markets.
- In line with myopic loss aversion (Bernatzi and Thaler): more information and more flexbility results in less risk taking. Market prices of risky assets are significantly higher if feedback frequencey and decisions flexibility are reduced.
- This result supports the findings from individual decision making, and shows that market interactions do not eliminate such behavior or its consequences for prices.
- Eg. Bank Hapoalim: Israel’s largest mutual funds manager announced change to its information policy: only every 3 months would it sent information.
- According to myopic loss aversion:
- Mypoic refers to myopia, inappropriate treatment of time dimension: bad news one day is treated as bad news longer period.
- There has been some empirical evidence, but all individual decision-making, so this does not mean that the market performs like this or that the market will violate expected utility theory. Small number of rational agents might be enough to make the outcome rational.
What is the goal of Gneezy, Kapteyn & Potters (2003), Evaluation Periods and Asset Prices in a Market Experiment?
- Test whether the effects of MLA show up in a competitive environment. They set up experimental markets in which traders adjust their portfolios by buying ad selling risky financial assets.
- High-frequency treatment: investors commit for 1 period.
- Low-frequency treatment: commit for 3 periods and only informed about the returns after the 3 periods.
- Finding: Prices of the risky asset in the low-frequence are significantly higher than in the high-frequencey experiments. Investors are more willing to invest in risky assets if they evaluate the consequences in a more time-aggregated way. This has a positive effect on prices.
- There are natural intervals over which decisions will be made and evaluated.
What is the experimental design in Gneezy, Kapteyn & Potters (2003), Evaluation Periods and Asset Prices in a Market Experiment?
- Market which 8 participants can trade units of a risky asset in a sequence of 15 trading periods. Each unit of the asset is a lottery ticket, which at the end of a trading period pays 150 cents with a probability of 1/3, 0 otherwise.
- Trader is endowed with 200 cents and 3 units of the asset.
- High-frequency: opens and able to trade every period.
- Low-frequency: only open in blocks of 3. The holdings are fixed, if you buy in period 1, also in 2 and 3. In 4 you can make choices again. Traders are informed abou the results simultaneously.
- Information feedback and frequency of portfolio adjustment is lower, participants in the treatment are expected the evaluate in a more aggregated way.
- Undergraduate students were used, double auction rules. Traders could submit bids to buy and offers to sell. All traders were informed about all bids and offers.
- Result was used by drawing a disk out of a box: black meant all assets = 0, one of the 2 white balls = 150.
What is the result in Gneezy, Kapteyn & Potters (2003), Evaluation Periods and Asset Prices in a Market Experiment?
- Prices are volatile in the beginning, but stabilize fairly quickly.
- Clear treatment effect in the direction predicted by MLA. In all rounds, average transaction prices are lower in treatment H (49.3) than in treatment L (58,4). The average number of trades per round per trader is almost identical to each treatment. Manipulation only affected the price level and not the willingness to trade. Average range of final number of assets is similar across the treatments.
- The average price of the asset in treatment L is above its expected value of 50 = subjects are risk seeking. Overpricing is quite common in experimental markets. Could possible be the endowment effect = traders more reluctant to sell than they would be on strict evaluation of financial gains and losses.
- Possible: utility of gambling = upward effect on pricing, people like having the asset. Overconfidence if possible, putting too much weight on probability that the asset will have a positive value. House money effect, people more willing to gamble when they have earned money on prior gambles, but can here not explain since the average realized asset value was a bit higher in H (luck).
what is the conclusion on Gneezy, Kapteyn & Potters (2003), Evaluation Periods and Asset Prices in a Market Experiment?
- Main question: whether the frequence of information feedback and flexibility of portfolio adjustment affect asset prices. Result: More information feedback and more flexibility reduce the price of the risky asset.
- In line with individual decision making, intertemporal framing effects matter, not just for individual decision making, but also in market settings.
- Direction of the price effect is in line with MLA.
What is Haigh & List (2005), Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis about?
- As MLA has been experimently proven with students, they want to show if traders from CBOT also have this effect.
- Surprisingly, they find that traders exhibit behaviour consistent with MLA to a greater extent than students.
- Because ordinary students don’t have that big of an effect on markets, it is important to check whether professionals show this behavior. They use 54 professional traders and options pit traders.
- Important: market prices of risky assets might be significantly higher if feedback frequency and decision flexibility are reduced. Institutions have the ability to influence prices.