Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the Kullback-Leibler divergence or Hellinger distance, have recently received much interest in time series analysis. The aim of this paper is to introduce tests for serial...

We introduce a statistical test for comparing the predictive accuracy of competing copula specifications in multivariate density forecasts, based on the Kullback-Leibler Information Criterion (KLIC). The test is valid under general conditions: in particular it allows for parameter estimation...

We propose new scoring rules based on partial likelihood for assessing the relative out-of-sample predictive accuracy of competing density forecasts over a specific region of interest, such as the left tail in financial risk management. By construction, existing scoring rules based on weighted...

This paper develops a testing framework for comparing the predictive accuracy of copula-based multivariate density forecasts, focusing on a specific part of the joint distribution. The test is framed in the context of the Kullback-Leibler Information Criterion, but using (out-of-sample)...

This paper proposes an early-warning bank risk measure based on the syndicate concentration of recent syndicated loans that a bank participates in. At the bank level, higher values of the measure predict greater risks (i.e., loan loss provisions, idiosyncratic return volatility, default...

We investigate the effects of credit ratings-contingent financial regulation on foreign bank lending behavior. We examine the sensitivity of international bank flows to debtor countries' sovereign credit rating changes before and after the implementation of the Basel 2 risk-based capital...