Value at Risk has become the standard measure of market risk employed by financial institutions for both internal and … regulatory purposes. Despite its conceptual simplicity, its measurement is a very challenging statistical problem and none of the … methodologies developed so far give satisfactory solutions. Interpreting Value at Risk as a quantile of future portfolio values …

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 …

place greater weight on downside risk demand additional compensation for holding stocks with high sensitivities to downside … market movements. We show that the cross-section of stock returns reflects a premium for downside risk. Specifically, stocks … that covary strongly with the market when the market declines have high average returns. We estimate that the downside risk …

We propose a measure for systemic risk: CoVaR, the value at risk (VaR) of the financial system conditional on … institutions being under distress. We define an institution's contribution to systemic risk as the difference between CoVaR … leverage, size, and maturity mismatch predict systemic risk contribution. We also provide out of sample forecasts of a …

institution in taking advantage of opportunities that increase firm value. Limitations of risk measurement and the decentralized …This paper examines how governance and risk management affect risk-taking in banks. It distinguishes between good risks … such a reward. A well-governed bank takes the amount of risk that maximizes shareholder wealth subject to constraints …

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in … corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays … intuitive relations with quantitative measures of cybersecurity risk disclosure language, exhibits a positive trend over time …

This study is concerned with establishing the determinants of banks' exposure to risk and with predicting risk in … banking. Using the COMPUSTAT data base, prediction rules have been developed for two aspects of risk: systematic risk (risk … that is related to covariance with the market portfolio) and residual risk (the aggregate of specific …

national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used … today at the level of individual banks by managers, investors, and regulators. The basic analytical tool is the risk … the effects of asset-liability mismatches within and across institutions. Risk-adjusted CCA balance sheets facilitate …