Week 3 - Economic and financial theories Flashcards
What is the efficient market hypothesis?
The EMH suggests that security prices reflect information (that information is absorbed into prices) - this is the concept of market efficiency.
What is the difference between market efficiency and portfolio efficiency?
Market efficiency - information is reflected in the prices of stocks
Portfolio efficiency - minimum volatility for a fixed rate of return
Why are price changes random?
Price changes are random because prices react to information and the flow of information is random
What is the concept of ‘random walk’?
Random walk is the concept that stock prices are random, and that they are random about an expected positive trend. It is a statistically naive hypothesis
Explain how to test random walk and the results of analysis performed on the Australian market.
Volatility of log returns can be calculated at different data frequencies (e.g. annual, quarterly, monthly), and if independent the ratio between them should theoretically be the same (i.e. volatility ratio of 1).
When this test is applied to the Australian market, split across the total market vs industrials vs resources. Across the whole market there is mild statistical contradiction of random walk, particularly in the industrials sector, which has been clouded by the resources sector (an ever-smaller proportion of the market).
Define the three levels of the efficient market hypothesis.
Weak form - Information derived from market trading data includes past prices, volumes and interest
Semi-strong form - Publicly available information, e.g. financial reports, earnings forecasts, included in pricing
Strong form - all information, including insider information, is available
What are the three basic patterns recognised in research into the momentum of stock prices?
1) Longer term reversal over multiple years (winners become losers)
2) Intermediate momentum where trailing 3-12 mth performance continues (winners continue to win)
3) Short term reversal effect where trailing returns quickly reverse because of liquidity effects
How are price momentum strategies able to outperform the market?
Changes occur in a company, which are not picked up by the market. Then, the market slowly realises these changes and begins to adjust price according to the impact that these changes have, until it outperforms expectations and what really should happen. Then it reverses back to a fair estimate.
What are some of the global conclusions about how to exploit price momentum?
1) Large stock momentum occurs at an industry level
2) If sector allocation is controlled, a portfolio will not be exposed to momentum effect (otherwise sectoral risk is present)
3) Small stock momentum is stock specific
4) Large cap momentum is best exploited by overweighting winners, while small stock momentum is best exploited by underweighting losers (no help in a long-only market)
What is the relationship between high risk and low risk stocks across different market conditions?
1) High risk stocks outperform low risk stocks in times of high growth, e.g. after recessions
2) Low risk stocks outperform high risk stocks when prices of low risk have been discounted relative to high risk stocks (e.g. at the end of the 2000’s tech bubble). Historically this has occurred because volatile stocks underperformed, not because stable stocks outperformed (esp. prior to 1990)
Explain the value anomaly.
The value anomaly occurs because investors wrongly assume past growth patterns will continue into the future. Thus stocks which are momentarily experiencing a downturn and are for the moment underpriced, will eventually revert and grow at a faster rate than the market, outperforming glamour stocks, particularly in times of distress. It continues to exist because it is difficult to arbitrage away.
How is it possible to exploit the value anomaly?
It is best to buy undervalued stocks rather than selling overvalued stocks. Institutional investors are unable to take advantage of this, as it primarily occurs in sectors where it cannot be utilised and is almost always restricted to small stocks. Further, there is also a tendency of companies which have ‘boosted’ earnings to experience profit growth reversal (investors are surprised by this reversal so high accrual stocks underperform).
Does strong form market efficiency exist? Reference three event studies.
No. Earnings surprises have very little leakage in the build up to the event, while dividend surprises have a substantial amount of leakage up to the day of the event (and the pattern continues afterwards also). Further, there is some anticipation of profit warnings, particularly as the downward pattern occurs before and after the drop at t=0.
Leakage occurs when the pattern is noticeable before the drop. If the pattern is not noticeable before the drop then it is likely that information is not publicly available,
What questions should be asked in anomaly investigations?
1) Is the sample representative of the investment universe? Must treat unweighted analysis with caution
2) Is the anomaly asymmetric?
3) Have confounding effects been controlled, e.g. size, sector?
4) Have transaction costs been allowed for?
As a final note, we can also ask the question - “Is it relevant?” - as the majority of the Australian market index is accounted for by a select few stocks
Define the following terms:
1) Prospect theory
2) Overconfidence
3) Attribution bias
4) Hindsight bias
1) Prospect theory assumes investors are loss averse, and that they are willing to sell their winners early but hold their losers to postpone the regret of incurring a loss
2) Overconfidence is when investors over-estimate the accuracy of their knowledge and overrate their own abilities
3) Attribution bias is the theory that investors attribute cause to the wrong event (e.g. good results are because of skill, bad ones because of uncontrollable factors)
4) Hindsight bias is the theory that investors are likely to overestimate the probability they assigned to an event that has already occurred