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Self‐Selection and the Forecasting Abilities of Female Equity Analysts

Journal of Accounting Research 2010 48(2), 393-435
ABSTRACT This paper investigates whether there are systematic differences between the forecasting style and abilities of female and male analysts, and whether market participants recognize these differences. My key conjecture is that only female analysts with superior forecasting abilities enter the profession due to a perception of discrimination in the analyst labor market. Consistent with this conjecture, I find that female analysts issue bolder and more accurate forecasts and their accuracy is higher in market segments in which their concentration is lower. Further, the stock market participants are aware of the male–female skill differences. They respond more strongly to the forecast revisions by female analysts even though those analysts get less media coverage. The short‐term market reaction is incomplete, however, because it is followed by a strong post‐revision drift. The perception of abilities is similar in the analyst labor market, where female analysts are more likely to move up to high‐status brokerage firms, while their downward career mobility is lower. Collectively, these results indicate that female analysts have better‐than‐average skill due to self‐selection and market participants are at least partially able to recognize their superior abilities.

Hard-to-Value Stocks, Behavioral Biases, and Informed Trading

Journal of Financial and Quantitative Analysis 2009 44(6), 1375-1401
Abstract This paper uses investor-level data to provide direct evidence for an intuitive but surprisingly untested proposition that investors make larger investment mistakes when valuation uncertainty is higher and stocks are more difficult to value. Using multiple measures of valuation uncertainty and multiple behavioral bias proxies, I show that individual investors exhibit stronger behavioral biases when stocks are harder to value and when market-level uncertainty is higher. I also find that informed trading intensity is higher among stocks where individual investors exhibit stronger behavioral biases. Collectively, these results indicate that uncertainty at both stock and market levels amplifies individual investors’ behavioral biases and that relatively better informed investors attempt to exploit those biases.

Dynamic Style Preferences of Individual Investors and Stock Returns

Journal of Financial and Quantitative Analysis 2009 44(3), 607-640
Abstract This study shows that individual investors systematically shift their preferences across extreme style portfolios (small vs. large, value vs. growth). These preference shifts are influenced by past style returns and earnings differentials, and advice from investment newsletters, but are unaffected by innovations in macroeconomic variables or shifts in expectations about future cash flows. Furthermore, investors’ dynamic style preferences influence returns along multiple dimensions: i) the contemporaneous relation between style returns and style-level preference shifts is strong, ii) there is weak evidence of style return predictability, and iii) the correlations among stocks within a style increase when investors move into or out of the style with greater intensity. Overall, the results indicate that stock categorization influences investors’ portfolio decisions and stock returns.

Who Gambles in the Stock Market?

Journal of Finance 2009 64(4), 1889-1933
ABSTRACT This study shows that the propensity to gamble and investment decisions are correlated. At the aggregate level, individual investors prefer stocks with lottery features, and like lottery demand, the demand for lottery‐type stocks increases during economic downturns. In the cross‐section, socioeconomic factors that induce greater expenditure in lotteries are associated with greater investment in lottery‐type stocks. Further, lottery investment levels are higher in regions with favorable lottery environments. Because lottery‐type stocks underperform, gambling‐related underperformance is greater among low‐income investors who excessively overweight lottery‐type stocks. These results indicate that state lotteries and lottery‐type stocks attract very similar socioeconomic clienteles.

Do Fund Managers Misestimate Climatic Disaster Risk

Review of Financial Studies 2020 33(3), 1146-1183
Abstract We examine whether professional money managers overreact to large climatic disasters. We find that managers within a major disaster region underweight disaster zone stocks to a much greater degree than distant managers and that this aversion to disaster zone stocks is related to a salience bias that decreases over time and distance from the disaster, rather than to superior information possessed by close managers. This overreaction can be costly to fund investors for some especially salient disasters like hurricanes and tornadoes: a long-short strategy that exploits the overreaction generates a significant DGTW-adjusted return over the following 2 years.

Do Dividend Clienteles Exist? Evidence on Dividend Preferences of Retail Investors

Journal of Finance 2006 61(3), 1305-1336
ABSTRACT We study stock holdings and trading behavior of more than 60,000 households and find evidence consistent with dividend clienteles. Retail investor stock holdings indicate a preference for dividend yield that increases with age and decreases with income, consistent with age and tax clienteles, respectively. Trading patterns reinforce this evidence: Older, low‐income investors disproportionally purchase stocks before the ex‐dividend day. Furthermore, among small stocks, the ex‐day price drop decreases with age and increases with income, consistent with clientele effects. Finally, consistent with the behavioral “attention” hypothesis, we document that older and low‐income investors purchase stocks following dividend announcements.

Political activism, information costs, and stock market participation

Journal of Financial Economics 2013 107(3), 760-786
This paper examines whether political activism increases people's propensity to participate in the stock market. Our key conjecture is that politically active people follow political news more actively, which increases their chance of being exposed to financial news. Consequently, their information gathering costs are likely to be lower and the propensity to participate in the market would be higher. We find support for this hypothesis using multiple micro-level data sets, state-level data from the US, and cross-country data from Europe. Irrespective of their political affiliation, politically active individuals are 9–25% more likely to participate in the stock market. Using residence in “battleground” states and several other geographic instruments, we demonstrate that greater political activism reduces information gathering costs and causes higher market participation rates. Further, consistent with our conjecture, we find that politically active individuals spend about 30 minutes more on news daily and appear more knowledgeable about the economy and the markets.

Deviations from Norms and Informed Trading

Journal of Financial and Quantitative Analysis 2014 49(4), 1005-1037
Abstract Investment managers are subject to personal and institutional norms that can constrain their investment choices. We conjecture that norm-constrained investors deviate from such norms only when they have compelling information, and we predict that deviating investments earn relatively high abnormal returns ex post. Consistent with our conjecture, we find that institutions averse to holding lottery-like stocks or sin stocks earn relatively high abnormal returns when they choose to hold such stocks. We find similar but weaker results for deviations from broader style categories. Overall, our evidence indicates that deviations from established institutional or social norms signal informed investing.

Do Portfolio Distortions Reflect Superior Information or Psychological Biases?

Journal of Financial and Quantitative Analysis 2013 48(1), 1-45
Abstract Using a demographics-based proxy for smartness, we show that the portfolio distortions of “smart” investors reflect an informational advantage, while the distortions of “dumb” investors reflect psychological biases. Specifically, smart investors outperform dumb investors by about 3% annually on a risk-adjusted basis. Furthermore, among investors with high portfolio distortions, smart investors outperform passive benchmarks by 2%, and the smart-dumb performance differential is 5%. At the stock level, a portfolio of stocks with smart investor clientele outperforms the dumb clientele portfolio by 3.50% annually. These findings suggest that behavioral and information-based explanations for portfolio distortions apply to distinct subsets of investors.

Local investors and corporate governance

Journal of Accounting and Economics 2012 54(1), 42-67
This paper shows that local institutional investors are effective monitors of corporate behavior. Firms with high local ownership have better internal governance and are more profitable. These firms are also less likely to manage their earnings aggressively or backdate options and are less likely to be targets of class action lawsuits. Further, managers of such firms exhibit a lower propensity to engage in “empire building” and are less likely to “lead the quiet life”. Examining the local monitoring mechanisms, we find that local institutions are more likely to introduce shareholder proposals, increase CEO turnover, and reduce excess CEO pay.