Stochastic approach to heterogeneity in short-time announcement effects on the Chilean stock market indexes within 2016-2019

dc.contributor.affiliationJohannes Kepler University Linz
dc.contributor.affiliationUniversidad de Valparaiso
dc.contributor.affiliationUniversidad Andres Bello
dc.contributor.affiliationUniversity of Pavol Jozef Safarik Kosice
dc.contributor.affiliationUniversidad de Las Americas - Chile
dc.contributor.affiliationMendel University in Brno
dc.contributor.affiliationUniversidad Austral de Chile
dc.contributor.authorStehlik, Milan
dc.contributor.authorLeal, Danilo
dc.contributor.authorKiselak, Jozef
dc.contributor.authorLeers, Joshua
dc.contributor.authorStřelec, Luboš
dc.contributor.authorFuders, Felix
dc.date.accessioned2025-04-21T20:42:30Z
dc.date.available2025-04-21T20:42:30Z
dc.date.issued2023-01-16
dc.description.abstractWe aim to examine stock market returns before and after key events in the U.S. Sino trades between 2016 and 2019. The study tracks Cumulative Abnormal Returns (CAR) of the indice de Precio Selectivo de Acciones (IPSA or S&P/CLX IPSA is a Chilean stock market index) for 26 important events throughout this time period. By testing for both directions and significance of market reaction to said events this study aims to clarify if these events and policy announcements were sufficient to influence local equity markets, and in which direction. A simple analysis of CAR showed 16 negative reactions and 10 Positive reactions. An estimated 13 billion USD in market capitalization was lost as a result. Of the 26 events studied 18 were found to produce statistically significant reactions and 8 did not. The IPSA's reaction to the significant events was mixed with 11 negative reactions and 7 positive reactions. We also checked for the normality of the distribution by robust normality tests and expected returns possess significant asymmetry and above-normal kurtosis. As such on aggregate it can be concluded that Chilean capital markets reacted negatively to the U.S. Sino trade war. We model IPSA in the period 2016-2022, where we can observe qualitative differences before and after 2019. To the best knowledge of the authors, the model of IPSA in this article is the first attempt in this direction.
dc.description.sponsorshipJozef Kiseľák was supported by the Slovak Research and Development Agency under Contract no. APVV-21-0369 and by the grant VEGA MŠ SR 1/0526/20. Milan Stehlík acknowledges ANID Chile COVBIO0003. We acknowledge the support of the Editors and the informative and insightful suggestions of Referees.
dc.format.mimetypeapplication/pdf
dc.identifier.citationStochastic Analysis and Applications, 42(1), 1-19. https://doi.org/10.1080/07362994.2022.2164508
dc.identifier.doihttps://doi.org/10.1080/07362994.2022.2164508
dc.identifier.issn0736-2994
dc.identifier.orcidhttps://orcid.org/0000-0003-2749-5990
dc.identifier.orcidhttps://orcid.org/0000-0001-6651-2322
dc.identifier.orcidhttps://orcid.org/0000-0003-1556-0687
dc.identifier.orcidhttps://orcid.org/0000-0003-4724-6414
dc.identifier.researcheridAGJ-9677-2022
dc.identifier.researcheridF-5537-2012
dc.identifier.researcheridAAN-9165-2020
dc.identifier.researcheridAAN-4840-2020
dc.identifier.rorhttps://ror.org/052r2xn60
dc.identifier.rorhttps://ror.org/00h9jrb69
dc.identifier.rorhttps://ror.org/01qq57711
dc.identifier.rorhttps://ror.org/039965637
dc.identifier.rorhttps://ror.org/00txsqk22
dc.identifier.rorhttps://ror.org/058aeep47
dc.identifier.rorhttps://ror.org/029ycp228
dc.identifier.rorhttps://ror.org/0166e9x11
dc.identifier.scopusauthorid36521554000
dc.identifier.scopusauthorid57450905700
dc.identifier.scopusauthorid23389951000
dc.identifier.scopusauthorid58067197300
dc.identifier.scopusauthorid24466961400
dc.identifier.scopusauthorid57193276213
dc.identifier.urihttps://repositorio.udla.cl/handle/udla/1741
dc.language.isoeng
dc.publisherInforma UK Limited
dc.relation.fundingAgentúra na Podporu Výskumu a Vývoja, APVV, (APVV-21-0369, COVBIO0003, VEGA MŠ SR 1/0526/20)
dc.relation.fundingAgentúra na Podporu Výskumu a Vývoja, APVV
dc.relation.isindexedbyWeb of Science
dc.relation.issn0736-2994
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceSTOCHASTIC ANALYSIS AND APPLICATIONS
dc.source.urihttps://doi.org/10.1080/07362994.2022.2164508
dc.subjectCumulative abnormal returns
dc.subjectChilean capital markets
dc.subjectstock market data
dc.subjectevent studies
dc.subjectstochastic model of interest rate
dc.subject.oecd11 Ciencias Naturales
dc.subject.oecd21.1 Matemáticas
dc.titleStochastic approach to heterogeneity in short-time announcement effects on the Chilean stock market indexes within 2016-2019
dc.typejournal article
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
oaire.citation.endPage19
oaire.citation.issue1
oaire.citation.startPage1
oaire.citation.titleSTOCHASTIC ANALYSIS AND APPLICATIONS
oaire.citation.volume42
udla.curacion.controljmvg
udla.oecd.area1 Ciencias Naturales
udla.oecd.subarea1.1 Matemáticas

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