We argue that firm interdependencies, as measured by correlations of stock returns, provide an indicator of systemic risk potential. We find a positive trend in stock return correlations net of diversification effects for a sample of U.S. Large and Complex Banking Organizations over 1988-99....

This paper, using T-GARCH models, finds that the United States has been the major source of price and volatility spillovers to stock markets in the Asian region during three different periods in the last decade: the pre-Long Term Capital Management crisis period, the ""tech bubble"" period, and...

Event studies are used to analyze the impact of U.S. financial, fiscal, and monetary policies from US to foreign asset prices across a range of G20 countries and Switzerland. The initial announcement that the Administration supported tighter regulation of banks led to a generalized fall in...

This paper assesses liquidity risk for the United States (U.S.) bond mutual funds industry and performs a range of analyses to identify which fund categories are more vulnerable to distress than others, and how sales from funds can impact financial stability. We develop a new measure to identify...

There is growing recognition that prolonged monetary policy easing of major economies can have extraterritorial spillovers, driving up financial system leverage in other countries. When faced with such a rise of threats to financial stability, what can countries do? Specifically, is there a role...

This paper focuses on evidence from stock markets as it investigates the spillovers from the United States to mainland China and Hong Kong SAR during the subprime crisis. Using both univariate and multivariate GARCH models, this paper finds that China''s stock market is not immune to the...

We study the impact of the US quantitative easing (QE) on both the emerging and advanced economies, estimating a global vector error-correction model (GVECM) and conducting counterfactual analyses. We focus on the effects of reductions in the US term and corporate spreads. First, US QE measures...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms' DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative...