Typical value-at-risk (VAR) calculations involve the probabilities of extreme dollar losses, based on the statistical … VAR values that are adjusted for risk aversion, time preferences, and other variations in economic valuation. In the … context of a representative agent equilibrium model, we construct an estimator of the risk-aversion coefficient that is …

Transaction costs in trading involve both risk and return. The return is associated with the cost of immediate … execution and the risk is a result of price movements during a more gradual trading. The paper shows that the trade-off between … risk and return in optimal execution should reflect the same risk preferences as in ordinary investment. The paper develops …

This paper provides an empirical analysis of the risk of trading revenues of U.S. commercial banks. We collect … quarterly data on trading revenues, broken down by business line, as well as the Value at Risk-based market risk charge. The … across business lines. These low correlations do not corroborate systemic risk concerns. Neither is there evidence that the …

government risk facing investors in medical innovation. This risk slows down medical innovation because investors must be …&D investors to better share the pipeline risk associated with FDA approval with broader capital markets. Using historical FDA … from offering them. Using various unique data sources, we find that FDA approval risk has a low correlation across drug …

In Merton (1987), idiosyncratic risk is priced in equilibrium as a consequence of incomplete diversification. We modify … results in a state-dependent idiosyncratic risk premium that is higher when average idiosyncratic volatility is low, and vice …

In the face of rising climate risk, financial institutions may adapt by transferring such risk to securitizers that … to climate risk may be a drop in the ocean of cash flows. This paper builds a data set of the entire securitization chain … optimal deals by finding the portfolio weights in an asset demand system that targets return and risk. Extrapolating wildfire …

Current practice largely follows restrictive approaches to market risk measurement, such as historical simulation or … produce more accurate risk assessments, treating both portfolio-level and asset-level analysis. Asset-level analysis is … particularly challenging because the demands of real-world risk management in financial institutions - in particular, real …

Recent advances in AI represent improvements in prediction. We examine how decision-making and risk management … strategies change when prediction improves. The adoption of AI may cause substitution away from risk management activities used … actions based on the predicted state). We provide a formal model evaluating the impact of AI and how risk management, stakes …