Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21142
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dc.contributor.authorJiang, R-
dc.contributor.authorHu, X-
dc.contributor.authorYu, K-
dc.date.accessioned2020-07-04T19:32:12Z-
dc.date.available2020-07-04T19:32:12Z-
dc.date.issued2020-08-04-
dc.identifierORCID iD: Keming Yu https://orcid.org/0000-0001-6341-8402-
dc.identifier.citationJiang, 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.-
dc.identifier.issn1479-8409-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/21142-
dc.description.abstractCopyright © 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.-
dc.description.sponsorshipNational Natural Science Foundation of China; Shanghai Sailing Programen_US
dc.format.extent345 - 366-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.rightsCopyright © 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.-
dc.rights.urihttps://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model-
dc.subjectsingle-index modelen_US
dc.subjectexpectile regressionen_US
dc.subjectvalue at risken_US
dc.titleSingle-index expectile models for estimating conditional value at risk and expected shortfallen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1093/jjfinec/nbaa016-
dc.relation.isPartOfJournal of Financial Econometrics-
pubs.issue2-
pubs.publication-statusPublished-
pubs.volume20-
dc.identifier.eissn1479-8417-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Mathematics Research Papers

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