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The profitability in the FTSE 100 Index: A new Markov Chain approach

dc.contributor.authorRiedlinger, Flavio Ivo
dc.contributor.authorNicolau, João
dc.date.accessioned2023-03-24T09:23:55Z
dc.date.available2023-03-24T09:23:55Z
dc.date.issued2020
dc.description.abstractIn this paper, we propose a new method to predict stock market trends based on the multivariate Markov chain (MMC) methodology. Our approach consists of forecasting the one-period ahead FTSE 100 Index behavior, using the MTD-Probit model. The MTD-Probit model is a new approach for estimating MMC, based on multiple categorical data sequences that can be used to forecast financial markets. In this context, we propose a simple trading strategy and analyze its profitability using the White “Reality Check” and the Hansen SPA data snooping bias tests. Our empirical results suggest that the MTD-Probit model applied to the FTSE 100 Index cannot significantly out-perform the buy-and-hold benchmark after data-snooping is controlled.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRiedlinger , Flavio Ivo and João Nicolau .(2020). “The profitability in the FTSE 100 Index: A new Markov Chain approach”. Asia-Pacifc Financial Markets, Vol. 27: pp. 61–81. (Search PDF in 2023)pt_PT
dc.identifier.doi10.1007/s10690-019-09282-4pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/27503
dc.language.isoengpt_PT
dc.publisherSpringer Naturept_PT
dc.subjectStock Marketpt_PT
dc.subjectFTSE 100 Indexpt_PT
dc.subjectMultivariate Markov Chainpt_PT
dc.titleThe profitability in the FTSE 100 Index: A new Markov Chain approachpt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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