We study the effect of wrongful-discharge laws (WDL) on firm-level stock returns. We find disparate effects depending on the exact design of the law. Consistent with rational, risk-based pricing, the effect on returns seems to be linked to how firms share systematic risk with their employees...

We introduce Implied Volatility Duration (IVD) as a new measure for the timing of uncertainty resolution, with a high IVD corresponding to late resolution. Portfolio sorts on a large cross-section of stocks indicate that investors demand on average more than five percent return per year as a...

We introduce Implied Volatility Duration (IVD) as a new measure for the timing of uncertainty resolution, with a high IVD corresponding to late resolution. Portfolio sorts on a large cross-section of stocks indicate that investors demand on average more than five percent return per year as a...

We study the effect of wrongful-discharge laws (WDL) on firm-level stock returns. We find disparate effects depending on the exact design of the law. Consistent with rational, risk-based pricing, the effect on returns seems to be linked to how firms share systematic risk with their employees...

We study stock liquidity from a demand-based perspective in the context of mutual fund fire sales. Specifically, we show that active and specialized demand is a key determinant of fire sale price discounts. Only when there is a lack of specialized demand, as proxied by inflows to active,...

We study the interrelation between two types of risk sharing -- within the firm and on capital markets -- by analyzing the effect of wrongful-discharge laws (WDLs) on stock returns. Consistent with rational, risk-based pricing, the effect on returns is linked to how shareholders and workers...

We study the effect of wrongful-discharge laws (WDL) on firm-level stock returns. We find disparate effects depending on the exact design of the law. Consistent with rational, risk-based pricing, the effect on returns seems to be linked to how firms share systematic risk with their employees...

We study the size and drivers of non-standard errors (Menkveld et al., 2021) in portfolio sorts across 14 common methodological decision nodes and 40 sorting variables. These non-standard errors range between 0.05 and 0.26 percent and are, on average, larger than standard errors. Supposedly...