Guiding Seminar 1 Flashcards
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What are the two reasons why consumers rely less on expert advice and turn to fellow customers instead?
i) emergence and proliferation of social media
platforms;
ii) creation and consumption of user-generated content
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What were the two research questions the authors researched?
1) Do peer opinions actually transmit value-relevant information? (or are they just
“random chatter”, and we rather leave the task to professionals?)
2) Are some users attempting to intentionally spread false information to mislead
“fellow customers”?
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What are the two channels to voice one’s opinion on seekingalpha.com?
1) Opinion articles (reviewed by a panel, subject to editorial changes)
2) Commentaries written in response to articles, other users sharing their views
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What methodology was used by the authors?
Textual analysis: the frequency of negative words (as a fraction of the total
wordcount) used in an article/commentary captures its tone. The finance-specific
negative word list compiled by Loughran and McDonald (2011) has been used
NegSAi,t – average fraction of negative words across all single-ticker articles
published on SA about company i on day t
NegSA-Commenti,t – average fraction of negative words across all SA comments
posted in response to single-ticker articles about company i on day t
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What were the results?
The faction of negative words in an article or comment has a statistically significant impact on the subsequent stock price performance. (holds even after controlling for the effect of traditional advice sources).
SA has a long term effect on the stock performance as opposed to I/B/E/S (perhaps due to a difference in popularity).
More negative words in an article about a company –> its abnormal returns are lower.
If there are many negative words in an article–> naive investors immediately short the stock and vice versa, hence, the stock’s value decreases
More negative words in an article –> subsequent scaled earnings (Net income) is lower than market expectations (by 0.23%-0.26%).
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What are the two reasons for the relationship between negative words in an article and negative abnormal returns for the stock?
- Predictability channel- the articles contain value-relevant information, which is not yet reflected in the price of the stock –> market participants learn the information and adjust the prices accordingly
- Clout channel- SA views reflect false and spurious information–> SA readers are naive and trade in the direction suggested, which is unlikely due to i) no return reversal and ii) capital constraints of SA followers
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What is an earnings surprise?
Difference between the reported quarterly Net income and the average Net income forecasts across all equity analysts following the company
Wisdom of Crowds: The Value of Stock Opinions
Transmitted Through Social Media
What incentives informed market participants have to share their value-relevant insights?
• Striving to become celebrities: Users derive significant utility from the attention
and recognition they receive from others when their opinions are confirmed by
the stock market. Occasionally SA contributors are even referred to in such
prominent outlets as Forbes, WSJ-Marketwatch, and Morningstar
• Money: Each SA contributor earns $10 per 1,000 page views that his/her article
receives, and authors with good track record attract more followers
• Feedback system: other users can intervene and correct bad articles, which
further discourages attempts of misinformation
• Convergence to fundamental value: if SA users can move stock prices, authors
may want to incentivize the convergence of market prices to what they perceive
to be the fair fundamental values
The U.S. Equity Return Premium: Past, Present, and
Future
What is an equity premium puzzle?
Definition: for more than a century, diversified long-horizon investments in
America’s stock market has consistently received higher returns (almost by 6%
p.a. on average) than those in bonds with no more risk
The U.S. Equity Return Premium: Past, Present, and
Future
Why do more people invest in T-bills or bonds rather than equities if they outperform bonds?
- Utility theory (marginal utility of wealth differs for gains and losses)
- Risk aversion (rather make certain gains as opposed to uncertain ones). High risk aversion should lead to high risk free-rate- but in reality risk free rate very low –> risk-free rate puzzle
- Loss aversion (losing money brings more pain compared to the happiness of gaining money –> prospect theory).
- Transaction costs and investor heterogeneity (most people do not trade at all)
- Uninsurable idiosyncratic income shocks correlated with the market (e.g. being fired during a recession)
- Unknown true lower-tail risk.
- Learning about the return distribution- investors and regulators misread the riskiness of equities in the early 20th century, then they adjusted their expectations–> prices rose even more and not they overstated the equity premium –> we can expect the equity premium to decrease as market participants learn about the return distribution of equities
The U.S. Equity Return Premium: Past, Present, and
Future
What is the future of the equity premium?
- Many Wall Street observers agree that a substantial equity premium remains as of today and will persist in the future
- Equity premium forecasts: financial economists: 6-7% over the next 10-30 years; CFOs : 3.2%; authors’ estimates: 2.55-4.33%
- It is reasonable to believe that equity premium will likely continue, though at a lower rate than historically – perhaps at around 4% p.a. instead of 6% (institutional changes (ERISA), interest in profiting from equity premium, faded memory from the Great Depression)
Two Pillars of Asset Pricing
What are market efficiency tests/ Joint hypothesis problem (JHP)? What are the three forms of market efficiency?
3 forms of market efficiency:
▪ Weak: prices incorporate only the information from past price movements (invalidates technical
analysis)
▪ Semi-strong: all publicly-available information is incorporated into prices (past and current)
▪ Strong: prices incorporate all available information (public and non-public)
Market efficiency tests: comparing how asset prices should behave to the way they actually
behave. Model how they should behave with an asset pricing model. If your tests reject
market efficiency:
▪ Either the financial market in question is inefficient
▪ Or your asset pricing model is no good
This issue is called the joint hypothesis problem (JHP) and to date remains an unresolved
conundrum in asset pricing
Two Pillars of Asset Pricing
What does Fama find about market efficiency through event studies?
Event studies: In an efficient market, stock prices adjust promptly and accurately to new information (no further meandering or reversals)
▪ Fama finds that all stock-split related (positive) information is incorporated into prices months
before the split, corroborating market efficiency
▪ With short event windows, the JPH is rendered relatively unimportant. Over long-term
horizons, it’s back in the spotlight
Two Pillars of Asset Pricing
What does Fama find about market efficiency through predictive regressions?
Can expected inflation determine interest rates? –> bond and real estate prices already incorporate the best possible forecast for inflation
Expected inflation is negatively related to stock returns.
Two Pillars of Asset Pricing
What does Fama find about market efficiency through time-varying expected stock returns?
Time-varying expected stock returns. Investors’ capacity and willingness to bear risk as well as the risk itself are not constant over time. This leads to time-varying expected returns and explains (according to rationalists) a lot of volatility in stock prices, which many behavioralists (prominently Shiller) attribute to investor irrationality
Two Pillars of Asset Pricing
What does Fama find about market efficiency through bubbles?
Bubbles: irrational price increases that lead to predictable declines. Fama doesn’t believe in bubbles. Fama claims that:
▪ No price declines are ever predictable (50/50 guessing game)
▪ Price declines are not irrational because they are driven by slowdowns in real economic activity
Fama denounces behavioral finance for not offering a viable alternative but merely criticizing the existing models. Fama: “Which leg of a “bubble” is irrational: the up or the down?” (i.e. irrational optimism vs. irrational pessimism)
Effient market hypothesis –> cannot predict price decreases and cannot anticipate bubbles
Two Pillars of Asset Pricing
What are the two types of asset pricing models?
Asset Pricing Models:
• Standard models work forward from assumptions about investor tastes and investment opportunities (CAPM and its variations)
• Empirical models work backwards – they take as given the patterns in average returns, and propose other variables that capture them (FF factor models, APT)
Behavioral Economics: Past, Present, and Future
What is the main problem with the current theory?
One theory, two tasks: relying on one theory to both characterize optimal behavior and predict actual behavior (supposedly irrelevant factors, or SIFs, determining behavior) --> one theory cannot do both
Behavioral Economics: Past, Present, and Future
What are the characteristics of a Homo economicus (rational behavior)?
Idealized model of Homo economicus:
• Agents have well-defined preferences and unbiased beliefs and expectations (infinite cognitive
abilities)
• They make optimal choices based on these beliefs and preferences (infinite willpower)
• Their primary motivation is self-interest
Behavioral Economics: Past, Present, and Future
What are explain-away-tions?
“Explain-away-tions”:
Models of rational behavior became standard because they were easier to solve (not meant as a
put-down: “one begins learning physics by studying objects in vacuum; atmosphere can be added
later, but its importance was never denied by physicists”)
Models of rational behavior are good in some cases, but they miserably fail in others (tic-tac-toe vs.
chess – agents are expected to act as if they understood the complicated model)
Behavioral Economics: Past, Present, and Future
Refute the claim: We should judge theories based on not whether they describe but whether they predict
behavior – expert billiard player example
Refute: But what about non-experts? Moreover, even experts are unable to optimize when the
problems are difficult (e.g. chess)
Behavioral Economics: Past, Present, and Future
Refute the claim: The errors of humans are randomly distributed with the mean of zero, cancelling out when
individual observations are aggregated; non-experts just have more noise (higher variance)
Refute: humans make judgements that are systematically biased, which could be predicted using a theory of human cognition; by utilizing clever framing, a majority of subjects can be induced to
select a dominated pair of options (prospect theory: decision making under uncertainty – A)
riskless payoff vs. B) risky payoff tests)