Volatility expectations and disagreement

dc.contributor.authorHuisman, Ronald
dc.contributor.authorVan der Sar, Nico
dc.contributor.authorZwinkels, Remco
dc.date.accessioned2022-02-09T11:08:56Z
dc.date.available2022-02-09T11:08:56Z
dc.date.issued2021
dc.description.abstractThis paper examines the use of survey-based measures in volatility forecasting. We argue that an aggregate volatility forecast built up from individual forecasts should be the sum of individual expected volatilities and the dispersion in mean return forecasts. We use data coming from a repeated survey to capture volatility expectations and mean returns of investors, and to produce aggregate volatility forecasts. Our surveybased volatility forecasts are consistent and quantitatively similar with forecasts based on GARCH and implied volatility models. This result is robust to both in-sample and out-of-sample comparisons and in response to news.en_US
dc.identifier.citationHuisman R. Volatility expectations and disagreement [electronic resource] / Huisman R., Van der Sar N. L., Zwinkels R. C. J. // Journal of Economic Behavior and Organization. - 2021. - Vol. 188. - P. 379-393. - https://doi.org/10.1016/j.jebo.2021.05.020uk_UA
dc.identifier.issn0167-2681
dc.identifier.urihttps://doi.org/10.1016/j.jebo.2021.05.020
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/22634
dc.language.isoenuk_UA
dc.relation.sourceJournal of Economic Behavior and Organizationuk_UA
dc.statusfirst publisheduk_UA
dc.subjectVolatility forecastingen_US
dc.subjectDisagreementen_US
dc.subjectSurvey dataen_US
dc.subjectarticleen_US
dc.titleVolatility expectations and disagreementen_US
dc.typeArticleen_US
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