International financial linkages, particularly through global bank flows, generate important questions about the consequences for economic and financial stability, including the ability of countries to conduct autonomous monetary policy. I address the monetary autonomy issue in the context of...

The Basel Committee on Banking Supervision (BCBS) (2013) recently proposed shifting the quantitative risk metrics system from Value-at-Risk (VaR) to Expected Shortfall (ES). The BCBS (2013) noted that - a number of weaknesses have been identified with using VaR for determining regulatory capital...

International financial linkages, particularly through global bank flows, generate important questions about the consequences for economic and financial stability, including the ability of countries to conduct autonomous monetary policy. I address the monetary autonomy issue in the context of...

The paper develops a novel realized matrix-exponential stochastic volatility model of multivariate returns and realized covariances that incorporates asymmetry and long memory (hereafter the RMESV-ALM model). The matrix exponential transformation guarantees the positivedefiniteness of the...

This paper examines the effectiveness of using futures contracts as hedging instruments of: (1) alternative models of volatility for estimating conditional variances and covariances; (2) alternative currencies; and (3) alternative maturities of futures contracts. For this purpose, daily data of...

The Advanced Measurement Approach (AMA) to operational risk capital is vulnerable to gaming, complex, and lacks comparability. The Standardized Measurement Approach (SMA) to operational risk capital lacks risk sensitivity and is unlikely to be appropriately conservative for US banks. An...

The Federal Reserve's Comprehensive Capital Analysis and Review (CCAR) requires large bank holding companies (BHCs) to project losses under stress scenarios. In this paper, we propose multiple benchmarks for operational loss projections and document the industry distribution relative to these...

Operational risk is a substantial source of risk for US banks. Improving the performance of operational risk models' allows banks' management to make better risk decisions by better matching economic capital and risk appetite, and allows regulators to better understand the risk of banks. We show...

Operational risk models, such as the loss distribution approach, frequently use past internal losses to forecast operational loss exposure. However, the ability of past losses to predict exposure, particularly tail exposure, has not been thoroughly examined in the literature. In this paper, we...

Banks have progressively evolved from being standalone institutions to being subsidiaries of increasingly complex financial conglomerates. We conjecture and provide evidence that the organizational complexity of the family of a bank is a fundamental driver of the business model of the bank...