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Looking for Someone to Blame: Delegation, Cognitive Dissonance, and the Disposition Effect

Journal of Finance 2016 71(1), 267-302
ABSTRACT We analyze brokerage data and an experiment to test a cognitive dissonance based theory of trading: investors avoid realizing losses because they dislike admitting that past purchases were mistakes, but delegation reverses this effect by allowing the investor to blame the manager instead. Using individual trading data, we show that the disposition effect—the propensity to realize past gains more than past losses—applies only to nondelegated assets like individual stocks; delegated assets, like mutual funds, exhibit a robust reverse‐disposition effect. In an experiment, we show that increasing investors' cognitive dissonance results in both a larger disposition effect in stocks and a larger reverse‐disposition effect in funds. Additionally, increasing the salience of delegation increases the reverse‐disposition effect in funds. Cognitive dissonance provides a unified explanation for apparently contradictory investor behavior across asset classes and has implications for personal investment decisions, mutual fund management, and intermediation.

Something in the Air: Pollution and the Demand for Health Insurance

Review of Economic Studies 2018 85(3), 1609-1634
We find that daily air pollution levels have a significant effect on the decision to purchase or cancel health insurance in a manner inconsistent with rational choice theory. A one standard deviation increase in daily air pollution leads to a 7.2% increase in the number of insurance contracts sold that day. Conditional on purchase, a one standard deviation decrease in air pollution during the cooling-off (i.e. cost-free cancellation) period relative to the order-date level increases the return probability by 4.0%. We explore a range of potential mechanism and find the most support for projection bias and salience.

Being Surprised by the Unsurprising: Earnings Seasonality and Stock Returns

Review of Financial Studies 2017 30(1), 281-323
We present evidence consistent with markets failing to properly price information in seasonal earnings patterns. Firms with historically larger earnings in one quarter of the year (“positive seasonality quarters”) have higher returns when those earnings are usually announced. Analysts have more positive forecast errors in positive seasonality quarters, consistent with the returns being driven by mistaken earnings estimates. We show that investors appear to overweight recent lower earnings following positive seasonality quarters, leading to pessimistic forecasts in the subsequent positive seasonality quarter. The returns are not explained by risk-based explanations, firm-specific information, increased volume, or idiosyncratic volatility. Received June 19, 2014; accepted April 25, 2016, by Editor David Hirshleifer.