Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21142
Title: Single-index expectile models for estimating conditional value at risk and expected shortfall
Authors: Jiang, R
Hu, X
Yu, K
Keywords: single-index model;expectile regression;value at risk
Issue Date: 4-Aug-2020
Publisher: Oxford University Press
Citation: Jiang, R., Hu, X. and Yu, K. (2022) 'Single-Index Expectile Models for Estimating Conditional Value at Risk and Expected Shortfall', Journal of Financial Econometrics, 20 (2), pp, 345 - 366. doi: 10.1093/jjfinec/nbaa016.
Abstract: Copyright © The Author(s) 2020. 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.
URI: https://bura.brunel.ac.uk/handle/2438/21142
DOI: https://doi.org/10.1093/jjfinec/nbaa016
ISSN: 1479-8409
Other Identifiers: ORCID iD: Keming Yu https://orcid.org/0000-0001-6341-8402
Appears in Collections:Dept of Mathematics Research Papers

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FullText.pdfCopyright © The Author(s) 2020. Published by Oxford University Press. All rights reserved. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). This is a pre-copyedited, author-produced version of an article accepted for publication in Journal of Financial Econometrics, following peer review. The version of record, Jiang, R., Hu, X. and Yu, K. (2022) 'Single-Index Expectile Models for Estimating Conditional Value at Risk and Expected Shortfall', Journal of Financial Econometrics, 20 (2), pp, 345 - 366, is available online at: https://doi.org/10.1093/jjfinec/nbaa016.124.15 kBAdobe PDFView/Open


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