Quantitative risk management relies on a constellation of tools that are used to analyze portfolio risk. We develop the standard toolkit, which includes betas, risk budgets and correlations, in a general, coherent, mnemonic framework centered around marginal risk contributions. We apply these...

We evaluate several long/short strategies for managing a portfolio of default swaps. The strategies are based on a ranking of credits by residuals, which are the differences between market spreads and spreads generated by the iSpread structural model. Investment grade portfolios for the U.S. and...

We use supervised learning to identify factors that predict the cross-section of maximum drawdown for stocks in the US equity market. Our data run from January 1965 to December 2019 and our analysis includes ordinary least squares, penalized linear regressions, tree-based models, and neural...

Wrong way risk can be incorporated in Credit Value Adjustment (CVA) calculations in a reduced form model. Hull and White [2012] introduced a CVA model that captures wrong way risk by expressing the stochastic intensity of a counterparty's default time in terms of the financial institution's...