We exploit the outset of a regulation seeking to improve judicial efficiency through the rearrangement of courts’ geography in Italy to provide causal evidence on the relationship between judiciary structural reforms and banks financial stability. To this end, we apply a...

This paper proposes a theoretical model that incorporates corporate governance into the basic CAPM, where corporate governance affects the disutility of managerial effort and the possibility of managers to divert company resources. It shows that corporate governance affects firms’ stock...

We assess the credit market impact of allowing mortgage "strip-down" as a foreclosure-prevention measure, where strip-down reduces the principal of underwater residential mortgages to the current market value of the property for homeowners in Chapter 13 bankruptcy. Our identification is provided...

This paper utilizes data on the presence of prominent individuals-that is, those with political (e.g., Members of Parliament) and aristocratic titles (e.g., lords)--on the boards of directors of English and Welsh banks from 1879 - 1909 to investigate whether the appointment of well-connected...

Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers...

The term structure of equity returns is downward-sloping: stocks with high cash flow duration earn 1.10% per month lower returns than short-duration stocks in the cross section. I create a measure of cash flow duration at the firm level using balance sheet data to show this novel fact. Factor...

We construct a slope factor from changes in federal funds futures of different horizons. Slope predicts stock returns at the weekly frequency: faster monetary policy easing positively predicts excess returns. Investors can achieve increases in weekly Sharpe ratios of 20% conditioning on the...

This paper explores the effect of oil price fluctuations on the stock returns of U.S. oil firms using a strategy of identification through heteroskedasticity exploiting the 2020 oil crash. Results are twofold. First, we find that a decline in oil prices statistically significantly reduces stock...

We propose a nonparametric method to test which characteristics provide independent information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...

Monetary policy shocks have a large impact on aggregate stock market returns in narrow event windows around press releases by the Federal Open Market Committee. We use spatial autoregressions to decompose the overall effect of monetary policy shocks into a direct (demand) effect and an indirect...