We propose a nonparametric measure of association between any number of random vectors that is based on the empirical copula process. The measure is insensitive to the dependence of components within vectors and only captures association between vectors as a whole. We calculate approximate...

The paper develops a tail risk forecasting model that incorporates the wealth of economic and financial information available to risk managers. The approach can be viewed as a regularized extension of the two-stage GARCH-EVT model of McNeil and Frey (2000) where we permit a time-varying...

As financial sectors around the world keep pace with rapidly changing consumer needs, creating new products, services and financial market players, regulatory frameworks are struggling to keep up due to slow-moving, legally defined entities. The tension between dynamic markets and static...

A vivid, fast-paced inside look at financial markets, the people who work on them, and how technology is changing their world (and ours). Markets are messy, and no one knows this better than traders who work tirelessly to predict what they will do next. In Whoosh Goes the Market, Daniel Scott...

This paper describes a financial system that should be adopted for the 21st century. The paper highlights that the financial crisis of 2008 has raised fundamental questions about how the financial industry is structured, managed, and regulated. The paper discusses that a well-functioning...

A banking system module is incorporated into the Central Bank of Barbados''s multisectoral macroeconomic forecasting model, and a medium-term forecast is generated for bank capitalization, profitability, liquidity and nonperforming loans. Stress tests are performed for the first year of the...