Climate risks and state-level stock market realized volatility

dc.contributor.authorBonato, Matteo
dc.contributor.authorCepni, Oguzhan
dc.contributor.authorGupta, Rangan
dc.contributor.authorPierdzioch, Christian
dc.contributor.emailrangan.gupta@up.ac.zaen_US
dc.date.accessioned2023-10-05T06:55:26Z
dc.date.available2023-10-05T06:55:26Z
dc.date.issued2023-11
dc.descriptionDATA AVAILABILITY : Data will be made available on request.en_US
dc.description.abstractWe analyze the predictive value of climate risks for state-level realized stock market volatility, computed, along with other realized moments, based on high-frequency intra-day U.S. data (September, 2011 to October, 2021). A model-based bagging algorithm recovers that climate risks have predictive value for realized volatility at intermediate and long (one and two months) forecast horizons. This finding also holds for upside (“good”) and downside (“bad”) realized volatility. The benefits of using climate risks for predicting state-level realized stock market volatility depend on the shape and (as-)symmetry of a forecaster’s loss function.en_US
dc.description.departmentEconomicsen_US
dc.description.librarianhj2023en_US
dc.description.urihttp://www.elsevier.com/locate/finmaren_US
dc.identifier.citationBonato, M., Cepni, O., Gupta, R. et al. 2023, 'Climate risks and state-level stock market realized volatility', Journal of Financial Markets, vol. 66, art. 100854, pp. 1-18, doi : 10.1016/j.finmar.2023.100854.en_US
dc.identifier.issn1386-4181
dc.identifier.other10.1016/j.finmar.2023.100854
dc.identifier.urihttp://hdl.handle.net/2263/92716
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was submitted for publication in Journal of Financial Markets. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms are not reflected in this document. A definitive version was subsequently published in Journal of Financial Markets, vol. 66, art. 100854, pp. 1-18, doi : 10.1016/j.finmar.2023.100854.en_US
dc.subjectPrediction modelsen_US
dc.subjectClimate-related predictorsen_US
dc.subjectRealized stock market volatilityen_US
dc.subjectFinance state-level dataen_US
dc.subjectSDG-13: Climate actionen_US
dc.subjectSDG-08: Decent work and economic growthen_US
dc.titleClimate risks and state-level stock market realized volatilityen_US
dc.typePreprint Articleen_US

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