Several papers argue that financial economics faces a replication crisis because the majority of studies cannot be replicated or are the result of multiple testing of too many factors. We develop and estimate a Bayesian model of factor replication, which leads to different conclusions. The...

We review the literature studying interactions between climate change and financial markets. We first discuss various approaches to incorporating climate risk in macro-finance models. We then review the empirical literature that explores the pricing of climate risks across a large number of...

We provide evidence consistent with a “credit-line drawdown channel” to explain the large and persistent crash of bank stock prices during the COVID-19 pandemic. Stock prices of banks with large ex-ante exposures to undrawn credit lines and large ex-post gross drawdowns declined more,...

We propose a multiplicative factor multi frequency component GARCH model which exploits the empirical fact that the daily standardized forecast errors of one-component GARCH models behave counter-cyclical when averaged at a lower frequency. For the new model, we derive the unconditional variance...

Using a multi-regime forecasting model, we investigate the impact of COVID-19 pandemic on market volatility. We show that daily number of active cases and the Curvature are significant predictors of daily cross-section of both realized volatility and the GJR-GARCH volatility in global equity...