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Article: Return Extrapolation and Volatility Expectations

TitleReturn Extrapolation and Volatility Expectations
Authors
KeywordsMIDAS
options
Return extrapolation
survey evidence
variance risk premium
volatility expectations
Issue Date1-Jan-2025
PublisherCambridge University Press
Citation
Journal of Financial and Quantitative Analysis, 2025, p. 1-39 How to Cite?
AbstractThis paper provides the first comprehensive evidence that the return extrapolation behavior of investors leads to biases in the expectations of volatility. Lower past returns are associated with higher expectations of volatility when using the physical, risk-neutral, and survey measures to estimate volatility expectations. Consistent with the return extrapolation framework, recent past returns have a larger impact than distant past returns on volatility expectations. Biases in volatility expectations are (i) distinct from extrapolating past realized volatility, (ii) asymmetrically induced by recent past negative returns, and (iii) lead investors to pay more to insure against the perceived higher expected volatility.
Persistent Identifierhttp://hdl.handle.net/10722/366407
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 3.980

 

DC FieldValueLanguage
dc.contributor.authorChordia, Tarun-
dc.contributor.authorLin, Tse Chun-
dc.contributor.authorXiang, Vincent-
dc.date.accessioned2025-11-25T04:19:15Z-
dc.date.available2025-11-25T04:19:15Z-
dc.date.issued2025-01-01-
dc.identifier.citationJournal of Financial and Quantitative Analysis, 2025, p. 1-39-
dc.identifier.issn0022-1090-
dc.identifier.urihttp://hdl.handle.net/10722/366407-
dc.description.abstractThis paper provides the first comprehensive evidence that the return extrapolation behavior of investors leads to biases in the expectations of volatility. Lower past returns are associated with higher expectations of volatility when using the physical, risk-neutral, and survey measures to estimate volatility expectations. Consistent with the return extrapolation framework, recent past returns have a larger impact than distant past returns on volatility expectations. Biases in volatility expectations are (i) distinct from extrapolating past realized volatility, (ii) asymmetrically induced by recent past negative returns, and (iii) lead investors to pay more to insure against the perceived higher expected volatility.-
dc.languageeng-
dc.publisherCambridge University Press-
dc.relation.ispartofJournal of Financial and Quantitative Analysis-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectMIDAS-
dc.subjectoptions-
dc.subjectReturn extrapolation-
dc.subjectsurvey evidence-
dc.subjectvariance risk premium-
dc.subjectvolatility expectations-
dc.titleReturn Extrapolation and Volatility Expectations-
dc.typeArticle-
dc.identifier.doi10.1017/S0022109025000249-
dc.identifier.scopuseid_2-s2.0-105001652962-
dc.identifier.spage1-
dc.identifier.epage39-
dc.identifier.eissn1756-6916-
dc.identifier.issnl0022-1090-

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