Please use this identifier to cite or link to this item: http://hdl.handle.net/11701/17785
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dc.contributor.authorBorzykh, Dmitriy A.-
dc.contributor.authorYazykov, Artem A.-
dc.date.accessioned2020-05-22T15:11:43Z-
dc.date.available2020-05-22T15:11:43Z-
dc.date.issued2020-03-
dc.identifier.citationBorzykh D.A., Yazykov A.A. On the practical applicability of three CUSUM-methods for structural breaks detection in EGARCH-models. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2020, vol. 16, iss. 1, pp. 19–30.en_GB
dc.identifier.otherhttps://doi.org/10.21638/11702/spbu10.2020.102-
dc.identifier.urihttp://hdl.handle.net/11701/17785-
dc.description.abstractThere are three well-known CUSUM-methods of structural breaks detection for standard GARCH-models in the literature: (Inclґan, Tiao, 1994), (Kokoszka, Leipus, 1999) and (Lee, Tokutsu, Maekawa, 2004). Despite the fact that these algorithms were initially developed for standard GARCH-models, there are theoretical arguments that CUSUM-methods can be applied to EGARCH-models. What is more, one can find empirical research which uses these methods to detect structural breaks in real-time series volatility. However, we have not found any numeric experiments which would prove the applicability of CUSUM-methods for EGARCH-models so far. We are not aware of any controlled experiments conducted in order to verify the applicability of these methods for EGARCH-models. This article adds to the existing literature in the following way. We first generate volatility series which possess EGARCH-model with known structural breaks. Then we run simulations and show that CUSUM-methods are weak in detecting structural breaks on medium size samples which are close to real ones. We conclude that the applicability of these methods on EGARCH-models is limited. Therefore, we suggest a hybrid algorithm which is able to improve the performance of CUSUM-methods when detecting structural breaks in all EGARCH-models.en_GB
dc.description.sponsorshipThe reported study was funded by RFBR according to the research project N 19-31-90169.en_GB
dc.language.isoruen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesVestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 16; Issue 1-
dc.subjectEGARCHen_GB
dc.subjectvolatilityen_GB
dc.subjectchange pointsen_GB
dc.subjectstructural breaksen_GB
dc.subjectCUSUMen_GB
dc.titleOn the practical applicability of three CUSUM-methods for structural breaks detection in EGARCH-modelsen_GB
dc.typeArticleen_GB
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