Stochastic approach to heterogeneity in short-time announcement effects on the Chilean stock market indexes within 2016-2019
| dc.contributor.affiliation | Johannes Kepler University Linz | |
| dc.contributor.affiliation | Universidad de Valparaiso | |
| dc.contributor.affiliation | Universidad Andres Bello | |
| dc.contributor.affiliation | University of Pavol Jozef Safarik Kosice | |
| dc.contributor.affiliation | Universidad de Las Americas - Chile | |
| dc.contributor.affiliation | Mendel University in Brno | |
| dc.contributor.affiliation | Universidad Austral de Chile | |
| dc.contributor.author | Stehlik, Milan | |
| dc.contributor.author | Leal, Danilo | |
| dc.contributor.author | Kiselak, Jozef | |
| dc.contributor.author | Leers, Joshua | |
| dc.contributor.author | Střelec, Luboš | |
| dc.contributor.author | Fuders, Felix | |
| dc.date.accessioned | 2025-04-21T20:42:30Z | |
| dc.date.available | 2025-04-21T20:42:30Z | |
| dc.date.issued | 2023-01-16 | |
| dc.description.abstract | We 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.sponsorship | Jozef 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.mimetype | application/pdf | |
| dc.identifier.citation | Stochastic Analysis and Applications, 42(1), 1-19. https://doi.org/10.1080/07362994.2022.2164508 | |
| dc.identifier.doi | https://doi.org/10.1080/07362994.2022.2164508 | |
| dc.identifier.issn | 0736-2994 | |
| dc.identifier.orcid | https://orcid.org/0000-0003-2749-5990 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-6651-2322 | |
| dc.identifier.orcid | https://orcid.org/0000-0003-1556-0687 | |
| dc.identifier.orcid | https://orcid.org/0000-0003-4724-6414 | |
| dc.identifier.researcherid | AGJ-9677-2022 | |
| dc.identifier.researcherid | F-5537-2012 | |
| dc.identifier.researcherid | AAN-9165-2020 | |
| dc.identifier.researcherid | AAN-4840-2020 | |
| dc.identifier.ror | https://ror.org/052r2xn60 | |
| dc.identifier.ror | https://ror.org/00h9jrb69 | |
| dc.identifier.ror | https://ror.org/01qq57711 | |
| dc.identifier.ror | https://ror.org/039965637 | |
| dc.identifier.ror | https://ror.org/00txsqk22 | |
| dc.identifier.ror | https://ror.org/058aeep47 | |
| dc.identifier.ror | https://ror.org/029ycp228 | |
| dc.identifier.ror | https://ror.org/0166e9x11 | |
| dc.identifier.scopusauthorid | 36521554000 | |
| dc.identifier.scopusauthorid | 57450905700 | |
| dc.identifier.scopusauthorid | 23389951000 | |
| dc.identifier.scopusauthorid | 58067197300 | |
| dc.identifier.scopusauthorid | 24466961400 | |
| dc.identifier.scopusauthorid | 57193276213 | |
| dc.identifier.uri | https://repositorio.udla.cl/handle/udla/1741 | |
| dc.language.iso | eng | |
| dc.publisher | Informa UK Limited | |
| dc.relation.funding | Agentúra na Podporu Výskumu a Vývoja, APVV, (APVV-21-0369, COVBIO0003, VEGA MŠ SR 1/0526/20) | |
| dc.relation.funding | Agentúra na Podporu Výskumu a Vývoja, APVV | |
| dc.relation.isindexedby | Web of Science | |
| dc.relation.issn | 0736-2994 | |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | STOCHASTIC ANALYSIS AND APPLICATIONS | |
| dc.source.uri | https://doi.org/10.1080/07362994.2022.2164508 | |
| dc.subject | Cumulative abnormal returns | |
| dc.subject | Chilean capital markets | |
| dc.subject | stock market data | |
| dc.subject | event studies | |
| dc.subject | stochastic model of interest rate | |
| dc.subject.oecd1 | 1 Ciencias Naturales | |
| dc.subject.oecd2 | 1.1 Matemáticas | |
| dc.title | Stochastic approach to heterogeneity in short-time announcement effects on the Chilean stock market indexes within 2016-2019 | |
| dc.type | journal article | |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
| dc.type.driver | info:eu-repo/semantics/article | |
| oaire.citation.endPage | 19 | |
| oaire.citation.issue | 1 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | STOCHASTIC ANALYSIS AND APPLICATIONS | |
| oaire.citation.volume | 42 | |
| udla.curacion.control | jmvg | |
| udla.oecd.area | 1 Ciencias Naturales | |
| udla.oecd.subarea | 1.1 Matemáticas |