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Female Representation in the Academic Finance Profession

Journal of Finance 2022 77(1), 317-365
We present new data on female representation in the academic finance profession. In our sample of finance faculty at top‐100 U.S. business schools during 2009 to 2017, only 16.0% are women. The gender imbalance manifests in several ways. First, after controlling for research productivity, women hold positions at lower ranked institutions and are less likely to be full professors. Results also suggest that they are paid less. Second, women publish fewer papers. This gender gap exists in research quantity, not quality. Third, women have more female coauthors, suggesting smaller publication networks. Time‐series data suggest shrinking gender gaps in recent years.

Loss Sharing in Central Clearinghouses: Winners and Losers

The Review of Asset Pricing Studies 2024 14(2), 237-273
Central clearing counterparties (CCPs) were established to mitigate default losses resulting from counterparty risk in derivatives markets. In a parsimonious model, we show that clearing benefits are unevenly distributed across market participants. Loss sharing rules determine who wins or loses from clearing. Current rules disproportionately benefit market participants with flat portfolios. Instead, those with directional portfolios are relatively worse off, consistent with their reluctance to voluntarily use central clearing. Alternative loss sharing rules can address cross-sectional disparities in clearing benefits. However, we show that CCPs may favor current rules to maximize fee income, with externalities on clearing participation.

Portfolio similarity and asset liquidation in the insurance industry

Journal of Financial Economics 2021 142(1), 69-96
We examine whether the concern about insurers selling similar assets due to an overlap in holdings is justified. We measure this overlap using cosine similarity and find that insurers with more similar portfolios have larger subsequent common sales. When faced with a shock to assets or liabilities, exposed insurers with greater portfolio similarity have larger common sales that impact prices. Our portfolio similarity measure can be used by regulators to predict the common selling of any institution that reports security or asset class holdings, making the measure a useful ex ante predictor of divestment behavior in times of market stress.