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...

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 develops a bivariate GARCH model that allows for time-varying conditional correlations and simultaneous testing of two Granger-causal linkages: the impact of return volatility in a market on intermarket correlation and the impact of return volatility in one market on the volatility of...

This paper studies how U.S. monetary policy affects global stock prices. We find that global stock prices respond strongly to changes in U.S. interest rate policy, with stock prices increasing (decreasing) following unexpected monetary loosening (tightening). This impact is more pronounced for...

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...

Automated trade execution systems are examined with respect to the degree to which they automate the price discovery process. Seven levels of automation of price discovery are identified, and 47 systems are classified according to these criteria. Systems operating at various levels of automation...