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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
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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interval between two quantiles, or in an interval that covers the range of the distribution to the left or right of a quantile …
Persistent link: https://www.econbiz.de/10011622915
. However, in many applications such as risk quantification in finance or climatology, one is interested in capturing the tail …
Persistent link: https://www.econbiz.de/10011550313
We develop a distribution regression model under endogenous sample selection. This model is a semiparametric generalization of the Heckman selection model that accommodates much rich patterns of heterogeneity in the selection process and effect of the covariates. The model applies to continuous,...
Persistent link: https://www.econbiz.de/10011935935
This paper proposes efficient estimators of risk measures in a semiparametric GARCH model defined through moment … when estimating error quantiles. In order to prevent this efficiency loss in quantile estimation, we propose a quantile … estimator based on inverting an empirical likelihood weighted distribution estimator. It is found that the new quantile …
Persistent link: https://www.econbiz.de/10009620388
Principal component analysis (PCA) is a widely used dimension reduction tool in the analysis of many kind of high-dimensional data. It is used in signal processing, mechanical engineering, psychometrics, and other fields under different names. It still bears the same mathematical idea: the...
Persistent link: https://www.econbiz.de/10010224945