To make high-quality research more accessible and easier to explore.

Fields:
3 results ✕ Clear filters

Strategic insider trading and its consequences for outsiders: Evidence from the eighteenth century

Journal of Financial Economics 2025 164, 103974 open access
This paper uses hand-collected historical data to provide empirical evidence on the strategic trading behavior of insiders and its consequences for outsiders. Specifically, we collect all equity trades of all insiders and outsiders in an era without legal restrictions on insider trading and a market where trading is non-anonymous. We find that access to private information creates a significant gap between the post-trade returns of insiders and outsiders. Consistent with theory, insiders capitalize on their information advantage by hiding their identity and timing their trades. Both experienced and inexperienced outsiders face expected losses due to this strategic insider trading.

Salience theory and stock prices: Empirical evidence

Journal of Financial Economics 2021 140(2), 460-483 open access
We present evidence on the asset pricing implications of salience theory. In our model, investors overweight salient past returns when forming expectations about future returns. Consequently, investors are attracted to stocks with salient upsides, which are overvalued and earn low subsequent returns. Conversely, stocks with salient downsides are undervalued and yield high future returns. We find empirical support for these predictions in the cross section of US stocks. The salience effect is stronger among stocks with greater limits to arbitrage and during high-sentiment periods. Our results are not explained by common risk factors, return reversals, lottery demand, and attention-grabbing news events.

Can unpredictable risk exposure be priced?

Journal of Financial Economics 2021 139(2), 522-544
We study the link between beta predictability and the price of risk. An investor who desires exposure to a certain risk factor needs to predict what next period’s beta will be. We use a simple model to show that an ambiguity averse agent’s demand is lower when betas are hard to predict, leading to a reduction in risk premiums. We test the implications for downside betas and VIX betas. We find that they have economically and statistically small prices of risk once we account for the fact that an investor cannot observe ex-post realized betas when determining asset demand.