setting, an increase in uncertainty about future shocks causes significant contractions in the economy and may lead to non … outcomes. Fluctuations in uncertainty and the zero lower bound help our model match the unconditional and stochastic volatility …

the mean and volatility of equity returns. Our model assumes a small risk of a rare disaster that is calibrated based on … the international data on large consumption declines. We allow the risk of this rare disaster to be stochastic, which …

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 …

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 …

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 …