We propose a methodology that can efficiently measure the Value-at-Risk (VaR) of large portfolios with time-varying volatilities and correlations by bringing together the established historical simulation framework and recent contributions to the Dynamic Factor Models literature. We find that...

I empirically investigate whether macroeconomic uncertainty is a priced risk factor in the cross-section of equity and index option returns. The analysis employs a non-linear factor model, estimated with the Fama-MacBeth methodology, where the macroeconomic uncertainty factor is the return on a...

We evaluate the short horizon predictive ability of financial conditions indexes for stock returns and macroeconomic variables. We find reliable predictability only when the sample includes the 2008 financial crisis, and we argue that this result is driven by tailoring the indexes to the crisis...

We propose a method to extract the risk-neutral distribution of firm-specific stock returns using both options and credit default swaps (CDS). Options and CDS provide information about the central part and the left tail of the distribution, respectively. Together but not in isolation, options...

We use supervisory data to investigate the ex-ante credit risk taken by different types of lenders in the U.S. syndicated term loan market during the LSAPs period. We fi nd that nonbank lenders, mutual funds and structured-fi nance vehicles, take higher risk when longer-term interest rates...

We measure the liquidity profile of open-end mutual funds using the sensitivity of their daily returns to aggregate liquidity. We study how this sensitivity changes around real-activity macroeconomic announcements that reveal large surprises about the state of the economy and after three...

We use supervisory data to investigate risk taking in the U.S. syndicated loan market at a time when longer-term interest rates are exceptionally low, and we study the ex-ante credit risk of loans acquired by different types of lenders, including banks and shadow banks. We find that insurance...

We study how the credit desk profitability of U.S. dealers that trade corporate bonds and single-name credit default swaps (CDS) affects the level and correlation of liquidity in these two markets. Supervisory datasets allow us to identify the dealers involved in each transaction and to observe...