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Tail risk is a classic topic in stressed portfolio optimization to treat unprecedented risks, while the traditional mean-variance approach may fail to perform well. This study proposes an innovative semiparametric method consisting of two modeling components: the nonparametric estimation and...
Persistent link: https://www.econbiz.de/10013170237
Bivariate duration data frequently arise in economics, biostatistics and other areas. In "bivariate frailty models", dependence between the frailties (i.e., unobserved determinants) induces dependence between the durations. Using notions of quadrant dependence, we study restrictions that this...
Persistent link: https://www.econbiz.de/10013055564
, from this decomposition, we estimate extreme depence correlation matrix which is used in the measurement of portfolio risk …-Smirnov distance, and its unnecessary capital consumption is lower. Also, in the measurement of the risk of a portfolio, the results of …
Persistent link: https://www.econbiz.de/10013492616
This article contributes to the quantification of systemic risk within the Moroccan banking system, focusing on listed banks. We utilize indicators derived from Tail Value at Risk and expectiles risk measures, as introduced by El qalli and Said (2013) (El Qalli & Said, 2023), to measure the...
Persistent link: https://www.econbiz.de/10014505870
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In this paper we provide a review of copula theory with applications to finance. We illustrate the idea on the …
Persistent link: https://www.econbiz.de/10003727552
Persistent link: https://www.econbiz.de/10003358509
In this paper we focus on symmetric generalized Fairlie-Gumbel-Morgenstern (or symmetric Sarmanov) copulas which are characterized by means of so-called generator functions. In particular, we introduce a class of generator functions which is based on univariate distributions with certain...
Persistent link: https://www.econbiz.de/10003903464
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