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

  • Ding-shi Tian
  • Zong-wu Cai
  • Ying FangEmail author
Article
  • 8 Downloads

Abstract

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.

Keywords

Expectile Expected Shortfall Network Risk Nonparametric Estimation Tail Dependence Value at Risk 

MR Subject Classification

62-02 62M10 62G08 

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Copyright information

© Editorial Committee of Applied Mathematics 2019

Authors and Affiliations

  1. 1.Wang Yanan Institute for Studies in Economics, Department of Statistics, School of Economics, Ministry of Education Key Laboratory of Econometrics and Fujian Key Laboratory of Statistical ScienceXiamen UniversityXiamen, FujianChina
  2. 2.Department of EconomicsUniversity of KansasLawrenceUSA

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