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Discussion Paper
Herd Behavior in Financial Markets
Over the last twenty-five years, there has been a lot of interest in herd behavior in financial markets—that is, a trader’s decision to disregard her private information to follow the behavior of the crowd. A large theoretical literature has identified abstract mechanisms through which herding can arise, even in a world where people are fully rational. Until now, however, the empirical work on herding has been completely disconnected from this theoretical analysis; it simply looked for statistical evidence of trade clustering and, when that evidence was present, interpreted the clustering ...
Report
Strategic Sophistication and Trading Profits: An Experiment with Professional Traders
We run an experiment where professional traders, endowed with private information, trade an asset over multiple periods. After the trading game, we gather information about the professional traders’ characteristics by having them carry out a series of tasks. We study which of these characteristics predict profits in the trading game. We find that strategic sophistication, as measured in the Guessing Game (for example, through level-k theory), is the only significant determinant of professional traders’ profits. In contrast, profits are not driven by individual characteristics such as ...
Report
Informational contagion in the laboratory
We study the informational channel of financial contagion in the laboratory. In our experiment, two markets with correlated fundamentals open sequentially. In both markets, subjects receive private information. Subjects in the market opening second also observe the history of trades and prices in the first market. We find that although in both markets private information is only imperfectly aggregated, subjects are able to make correct inferences based on the public information coming from the market that opens first. As a result, we observe financial contagion in the laboratory: Indeed, the ...
Report
Trading by Professional Traders: An Experiment
We examine how professional traders behave in two financial market experiments; we contrast professional traders’ behavior to that of undergraduate students, the typical experimental subject pool. In our first experiment, both sets of participants trade an asset over multiple periods after receiving private information about its value. Second, participants play the Guessing Game. Finally, they play a novel, individual-level version of the Guessing Game and we collect data on their cognitive abilities, risk preferences, and confidence levels. We find three differences between traders and ...
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Estimating a structural model of herd behavior in financial markets
We develop a new methodology for estimating the importance of herd behavior in financial markets. Specifically, we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate the model using 1995 stock market data for Ashland Inc., a company listed on the New York Stock Exchange. Herding occurs often and is particularly pervasive on certain days. In an information-event day, on average, 2 percent (4 percent) of informed traders herd-buy (sell). In 7 percent ...
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Risk Preferences at the Time of COVID-19: An Experiment with Professional Traders and Students
We study whether the COVID-19 pandemic has impacted risk preferences, comparing the results of experiments conducted before and during the outbreak. In each experiment, we elicit risk preferences from two sample groups: professional traders and undergraduate students. We find that, on average, risk preferences have remained constant for both pools of participants. Our results suggest that the increases in risk premia observed during the pandemic are not due to changes in risk appetite; rather, they are solely due to a change in beliefs by market participants. The findings of our paper support ...
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Noncognitive Skills at the Time of COVID-19: An Experiment with Professional Traders and Students
We study the stability of noncognitive skills by comparing experimental results gathered before and during the COVID-19 pandemic. Using a sample of professional traders, we find a significant decrease in agreeableness and locus of control and a moderate decrease in grit. These patterns are primarily driven by those with more negative experiences of the pandemic. Other skills, such as trust, conscientiousness, and self-monitoring, are unchanged. We contrast these results with those from a sample of undergraduate students whose noncognitive skills remain constant (except conscientiousness). Our ...
Report
Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation
We develop a new methodology to estimate the impact of a financial transaction tax (FTT) on financial market outcomes. In our sequential trading model, there are price-elastic noise and informed traders. We estimate the model through maximum likelihood for a sample of sixty New York Stock Exchange (NYSE) stocks in 2017. We quantify the effect of introducing an FTT given the parameter estimates. An FTT increases the proportion of informed trading, improves information aggregation, but lowers trading volume and welfare. For some less-liquid stocks, however, an FTT blocks private information ...