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Econometric modeling of risk measures: A selective review of the recent literature

Econometric modeling of risk measures: A selective review of the recent literature
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摘要 Since the financial crisis in 2008, the risk measures which are the core of risk management, have received increasing attention among economists and practitioners. In this review, the concentration is on recent developments in the estimation of the most popular risk measures, namely, value at risk (VaR), expected shortfall (ES), and expectile. After introducing the concept of risk measures, the focus is on discussion and comparison of their econometric modeling. Then, parametric and nonparametric estimations of tail dependence are investigated. Finally, we conclude with insights into future research directions. Since the financial crisis in 2008, the risk measures which are the core of risk management, have received increasing attention among economists and practitioners. In this review,the concentration is on recent developments in the estimation of the most popular risk measures,namely, value at risk(VaR), expected shortfall(ES), and expectile. After introducing the concept of risk measures, the focus is on discussion and comparison of their econometric modeling.Then, parametric and nonparametric estimations of tail dependence are investigated. Finally,we conclude with insights into future research directions.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2019年第2期205-228,共24页 高校应用数学学报(英文版)(B辑)
基金 the financial support,in part,from the National Science Fund of China(NSFC)for Distinguished Young Scholars(71625001) NSFC grant(71631004)(Key Project) the scholarship from China Scholarship Council(CSC)under the Grant CSC(N201706310023)
关键词 Expectile EXPECTED Shortfall Network RISK NONPARAMETRIC Estimation TAIL DEPENDENCE Value at RISK Expectile Expected Shortfall Network Risk Nonparametric Estimation Tail Dependence Value at Risk
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