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to different methodologies, by employing a bootstrap technique. …
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We develop an approximate solution method for a classical saving for retirement problem in case of random payment scheme and value at risk (VaR) defined investor preferences. As the results of our numerical calculations indicate our approximate approach provides greater accuracy and reduces...
Persistent link: https://www.econbiz.de/10009352660
Model uncertainty, in the context of derivative pricing, can be defined as the uncertainty on the value of a contingent … quantitative framework for defining model uncertainty in option pricing models. After discussing some properties which a … quantitative measure of model uncertainty should verify in order to be useful and relevant in the context of risk measurement and …
Persistent link: https://www.econbiz.de/10008792846
look at the problem of calibrating financial models, measuring the model uncertainty of a claim and choosing an optimal … uncertainty. Using the framework for market risk measures we propose axioms for new classes of model uncertainty measures. Similar … to the market risk case, we prove representation theorems for coherent and convex model uncertainty measures. Example …
Persistent link: https://www.econbiz.de/10009441418
This paper investigates the dynamic evolution of tail risk interdependence among U.S. banks, financial services and insurance sectors. Life and non-life insurers have been considered separately to account for their different characteristics. The tail risk interdependence measurement framework...
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