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Classical sufficient dimension reduction methods are sensitive to outliers present in predictors, and may not perform well when the distribution of the predictors is heavy-tailed. In this paper, we propose two robust inverse regression methods which are insensitive to data contamination:...
Persistent link: https://www.econbiz.de/10011189564
of a financial institution to systemic risk, the marginal expected shortfall (MES). The MES of an institution can be …
Persistent link: https://www.econbiz.de/10011605591
for standard sample sizes. In an application to international government bonds, we detect a high tail{risk and low return … situation during the last decade which can essentially be attributed to increased higher{order tail risk. We also illustrate the … empirical consequences from ignoring higher-dimensional tail risk. …
Persistent link: https://www.econbiz.de/10010377208
In this study we present a closed form solution to the moments and, in particular, correlation of two log-normally distributed random variables, where the underlying log-normal distribution is potentially truncated and censored at both tails. Throughout the analysis we further assume that the...
Persistent link: https://www.econbiz.de/10012148188
In practice, multivariate dependencies of extreme risks are often only assessed in a pairwise way. We propose a novel test to detect when bivariate simplifications produce misleading results. This occurs when a significant portion of the multivariate dependence structure in the tails is of...
Persistent link: https://www.econbiz.de/10010246746
standard sample sizes. In an application to international government bonds, we detect a high tail{risk and low return situation … during the last decade which can essentially be attributed to increased higher-order tail risk. We also illustrate the … empirical consequences from ignoring higher-dimensional tail risk. …
Persistent link: https://www.econbiz.de/10010402973
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Persistent link: https://www.econbiz.de/10011672440
Persistent link: https://www.econbiz.de/10012159719
risk aggregation. The so-called "square-root formula" uses correlation parameters between, for example, market risk, non …-life insurance risk and default risk to determine the company's aggregate capital requirement. To support decision-making, companies … will allocate the required capital back to business segments and risk drivers. We demonstrate that capital allocations …
Persistent link: https://www.econbiz.de/10011993595