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Holidays, weekends and range-based volatility

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Holidays, weekends and range-based volatility

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dc.contributor.author Díaz Mendoza, Ana Carmen
dc.contributor.author Pardo Tornero, Ángel
dc.date.accessioned 2022-05-19T17:32:19Z
dc.date.available 2022-05-19T17:32:19Z
dc.date.issued 2020
dc.identifier.citation Díaz Mendoza, Ana Carmen Pardo Tornero, Ángel 2020 Holidays, weekends and range-based volatility North American Journal Of Economics And Finance 52
dc.identifier.uri https://hdl.handle.net/10550/82899
dc.description.abstract This study analyses the effect of non-trading periods on the forecasting ability of S&P500 index range-based volatility models. We find that volatility significantly diminishes on the first trading day after holidays and weekends, but not after long weekends. Our findings indicate that models that include autoregressive terms that interact with dummies that allow us to capture changes in volatility levels after interrupting periods provide greater explanatory power than simple autoregressive models. Therefore, the shorter the length of the non-trading periods between two trading days, the higher the overestimation of the volatility if this effect is not considered in volatility forecasting.
dc.language.iso eng
dc.relation.ispartof North American Journal Of Economics And Finance, 2020, vol. 52
dc.subject Economia
dc.subject Mercat Anàlisi
dc.title Holidays, weekends and range-based volatility
dc.type journal article es_ES
dc.date.updated 2022-05-19T17:32:19Z
dc.identifier.doi 10.1016/j.najef.2019.101124
dc.identifier.idgrec 143659
dc.rights.accessRights open access es_ES

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