Markov regime switching in mean and in fractional integration parameter
dc.authorwosid | Yazgan, Ege/GPG-1135-2022 | |
dc.contributor.author | Ozkan, Harun | |
dc.contributor.author | Stengos, Thanasis | |
dc.contributor.author | Yazgan, Ege | |
dc.date.accessioned | 2024-07-18T20:55:12Z | |
dc.date.available | 2024-07-18T20:55:12Z | |
dc.date.issued | 2017 | |
dc.department | İstanbul Bilgi Üniversitesi | en_US |
dc.description.abstract | We propose a specific general Markov-regime switching estimation both in the long memory parameter d and the mean of a time series. We employ Viterbi algorithm that combines the Viterbi procedures in two state Markov-switching parameter estimation. It is well-known that existence of mean break and long memory in time series can be easily confused with each other in most cases. Thus, we aim at observing the deviation and interaction of mean and d estimates for different cases. A Monte Carlo experiment reveals that the finite sample performance of the proposed algorithm for a simple mixture model of Markov-switching mean and d changes with respect to the fractional integrating parameters and the mean values for the two regimes. | en_US |
dc.description.sponsorship | NSERC of Canada | en_US |
dc.description.sponsorship | Thanasis Stengos wants to acknowledge financial assistance from NSERC of Canada. | en_US |
dc.identifier.doi | 10.1080/03610918.2016.1222421 | |
dc.identifier.endpage | 6981 | en_US |
dc.identifier.issn | 0361-0918 | |
dc.identifier.issn | 1532-4141 | |
dc.identifier.issue | 9 | en_US |
dc.identifier.scopus | 2-s2.0-85017519488 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 6974 | en_US |
dc.identifier.uri | https://doi.org/10.1080/03610918.2016.1222421 | |
dc.identifier.uri | https://hdl.handle.net/11411/8772 | |
dc.identifier.volume | 46 | en_US |
dc.identifier.wos | WOS:000418384300019 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis Inc | en_US |
dc.relation.ispartof | Communications in Statistics-Simulation and Computation | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Fractional İntegration | en_US |
dc.subject | Long Memory Time Series | en_US |
dc.subject | Markov Regime Switching | en_US |
dc.subject | Long-Range Dependence | en_US |
dc.subject | Stock-Market | en_US |
dc.subject | Interest-Rates | en_US |
dc.subject | Time-Series | en_US |
dc.subject | Memory | en_US |
dc.subject | Volatility | en_US |
dc.subject | Volume | en_US |
dc.title | Markov regime switching in mean and in fractional integration parameter | en_US |
dc.type | Article | en_US |