GS1 Flashcards
What were 2 RQs in Wisdon of Crowds?
1) Do peer opinions contain value-relevant info?
2) Do some users intentionally spread disinformation?
What were 2 channels to voice their opinions in Wisdom of Crowds?
1) Comments
2) Articles
Methodology of Wisdom of crowds - what variables were run?
X1 - average fraction of negative words in comments about some stock
X2 - average fraction of negative words in articles about some stock
Y - abnornal returns of company
What were the results of first regression in Wisdom of Crowds?
That both negative comments and articles predict negative abnormal returns
What interpretations did authors of Wisdom of crowds consider for the fact that negative words predict negative abnormal returns?
1) Predictability channel
2) Clout channel
To test 2 channels, what did authors of Wisdom of Crowds do, and what did they find?
Run negative words regression on Earning Surprises (actual earnings minus analysts forecast) and found out that only predictability channel matters because both comments and articles predict negative earning surprises
What 4 mechanisms behind predictability of returns by comments did authors of Wisdom of Crowds discuss and which 2 did they test and what they found?
Discussed:
1) Recognition
2) Money
3) Correct bad advice, peer feedback
4) Driving price to fundamental value
Tested:
2) Money (found that consistent authors get read more)
3) Feedback (found that if article is bad, comments predict performance better than article)
What 2 findings do Wisdom of Crowds have?
1) Peer advice has value for investments
2) Social media allows direct user interactuon and produce valuable content
Dooes ERP (equity return puzzle) hold for long-term bonds as well as for short-term? Discuss
Yes, if you invested in 20th century in short-term bonds, you would outperform stocks only in 9% cases, and if you invested in long-term, you would outperform in 2% cases
What are the explanations behind ERP? Discuss
1) Expected utility theory - agents are loss averse. Problem - to justify ERP, one has to value 1 lost dollar as much as 170 earned.
2) Risk aversion and investor myopia - “if investors would be able to see that long-term stocks are superior, they would invest in them. They just can’t”.
3) Investor Heterogeneity and TC - first, not all population can trade at all, second - for many people their implicit portfolio is correlated with stocks already, don’t want more equity exposure
4) Long-tail risk
5) Misperception of risk in 20th century
What is the future of ERP and what are the reasons and implications?
Will persist, but on a lower scale. Me Because: 1) Faded memory of Great Depression 2) Pension plans invested in stocks 3) Index fund rise
Implications - designing financial tools that would include more population in equity trading would enhance welfare
List 3 reasons why stronger p-value is needed when trying to find a new factor affecting stock prices.
1) Less chances to discover a true factor
2) Cost of data mining has decreased
3) There is limited amount of data
What is multiple testing?
Increase in type-1 error when testing multiple hypotheses simultaneously
What 2 measures are used to assess type-1 error severity in research?
1) Family-wise error rate (chance of a single false discovery)
2) False Discovery Rate (what % of findings is false)
What 5 factors survive the 3 adjustments done by the authors of “And the cross-section of expected results”?
1) Momentum
2) Market beta
3) Book-to-market
4) Short-term volatility
5) Durable consumption goods