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Single-Index Expectile Models for Estimating Conditional Value at Risk and Expected Shortfall
[Coherent Measures of Risk]

Author

Listed:
  • Rong Jiang
  • Xueping Hu
  • Keming Yu

Abstract

This article develops a single-index approach for modeling the expectile-based value at risk (EVaR). EVaR has an advantage over the conventional quantile-based VaR (QVaR) of being more sensitive to the magnitude of extreme losses. EVaR can also be used for calculating QVaR and expected shortfall (ES) by exploiting the one-to-one mapping from expectiles to quantiles and the relationship between VaR and ES. We develop an asymmetric least squares technique for estimating the unknown regression parameter and link function in a single-index model, and establish the asymptotic normality of the resultant estimators. Simulation studies and real data applications are conducted to illustrate the finite sample performance of the proposed methods.

Suggested Citation

  • Rong Jiang & Xueping Hu & Keming Yu, 2022. "Single-Index Expectile Models for Estimating Conditional Value at Risk and Expected Shortfall [Coherent Measures of Risk]," Journal of Financial Econometrics, Oxford University Press, vol. 20(2), pages 345-366.
    • Handle: RePEc:oup:jfinec:v:20:y:2022:i:2:p:345-366.
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    File URL: http://hdl.handle.net/10.1093/jjfinec/nbaa016
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    Citations

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    Cited by:

    1. Taylor, James W., 2022. "Forecasting Value at Risk and expected shortfall using a model with a dynamic omega ratio," Journal of Banking & Finance, Elsevier, vol. 140(C).
    2. Larbi Ait-Hennani & Zoulikha Kaid & Ali Laksaci & Mustapha Rachdi, 2022. "Nonparametric Estimation of the Expected Shortfall Regression for Quasi-Associated Functional Data," Mathematics, MDPI, vol. 10(23), pages 1-23, November.
    3. Yan Fang & Jian Li & Yinglin Liu & Yunfan Zhao, 2023. "Semiparametric estimation of expected shortfall and its application in finance," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 835-851, July.

    More about this item

    Keywords

    single-index model; expectile regression; value at risk;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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