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

被引:0
|
作者
Tian, Ding-shi [1 ,2 ]
Cai, Zong-wu [3 ]
Fang, Ying [1 ,2 ]
机构
[1] Xiamen Univ, Wang Yanan Inst Studies Econ, Dept Stat, Sch Econ,Minist Educ,Key Lab Econometr, Xiamen 361005, Fujian, Peoples R China
[2] Xiamen Univ, Fujian Key Lab Stat Sci, Xiamen 361005, Fujian, Peoples R China
[3] Univ Kansas, Dept Econ, Lawrence, KS 66045 USA
关键词
Expectile; Expected Shortfall; Network Risk; Nonparametric Estimation; Tail Dependence; Value at Risk; VALUE-AT-RISK; CONDITIONAL QUANTILE ESTIMATION; REGRESSION; MANAGEMENT; SHORTFALL;
D O I
10.1007/s11766-019-3628-9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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.
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页码:205 / 228
页数:24
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