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We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this nonparametric measure is not predisposed toward the normal distribution and can allow for nonlinear relationships. Our estimates for the G-5 countries suggest...
Persistent link: https://www.econbiz.de/10011255868
Persistent link: https://www.econbiz.de/10008387159
Persistent link: https://www.econbiz.de/10006366367
In affine models of foreign exchange rate returns, the nature of cross sectional interdependence in crisis periods hinges on the tail properties of the fundamentals' distribution. If the fundamentals exhibit thin tails like the normal distribution, the dependence vanishes asymptotically; while...
Persistent link: https://www.econbiz.de/10008494444
This paper assesses the linkages between the most important U.S. financial asset classes (stocks, bonds, T-bills and gold) during periods of financial turmoil. Our results have potentially important implications for strategic asset allocation and pension fund management. We use multivariate...
Persistent link: https://www.econbiz.de/10005051480
We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this nonparametric measure is not predisposed toward the normal distribution and can allow for nonlinear relationships. Our estimates for the G-5 countries suggest...
Persistent link: https://www.econbiz.de/10005740412
We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this nonparametric measure is not predisposed toward the normal distribution and can allow for nonlinear relationships. Our estimates for the G-5 countries suggest...
Persistent link: https://www.econbiz.de/10005281787
We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this non-parametric measure is not predisposed towards the normal distribution and can account for non-linear relationships. Our estimates for the G-5 countries...
Persistent link: https://www.econbiz.de/10005634482
We investigate the potential presence of time variation in the coefficients of the ''Fama regression'' for Uncovered InterestRate Parity. We implement coefficient constancy tests, rolling regression techniques, and stochastic coefficient modelsbased on state space modelling. Among six major US...
Persistent link: https://www.econbiz.de/10010324544
Using a limiting approach to portfolio credit risk, we obtain analyticexpressions for the tail behavior of the distribution of credit losses. We showthat in many cases of practical interest the distribution of these losses haspolynomial ('fat') rather than exponential ('thin') tails. Our...
Persistent link: https://www.econbiz.de/10010324936