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dc.contributor.authorBrzeszczyński, Janusz
dc.date.accessioned2019-02-14T11:31:19Z
dc.date.available2019-02-14T11:31:19Z
dc.date.issued2018
dc.identifier.issn0208-6018
dc.identifier.urihttp://hdl.handle.net/11089/26821
dc.description.abstractSignal transmission processes among international financial markets, at the level of both price volatility and returns direction, are complex phenomena, in particular in case of the application of high frequency data. This paper presents models describing such effects, discussion of selected methodological issues, empirical application for the Polish market and also indicates the possibilities for using such tools for the construction of investment strategies on the stock markets. Empirical study for the WIG20 index conducted on the sample of years 2005–2016 demonstrates the existence of the relationship between the variability of the WIG20 index returns and the returns of the indices from the US market, whereas the strongest dependence has been identified in case of the DJIA index. Moreover, an evolution effect of the value of the estimated parameters over time has been detected. The estimates from the in‑sample period from years 2005–2016 were further exploited in the out‑of‑sample experiment using the data from the year 2017 with additional application of index futures contracts on the WIG20 index.en_GB
dc.description.abstractEfekty transmisji sygnałów między rynkami finansowymi na świecie, zarówno na poziomie zmienności kursowej, jak i kierunku (znaku) stóp zwrotu, są złożonymi zjawiskami, szczególnie w przypadku wykorzystania danych o wysokiej częstotliwości obserwacji. Artykuł prezentuje modele opisujące te procesy, wybrane kwestie metodologiczne, aplikację empiryczną dla polskiego rynku oraz wskazuje na możliwości wykorzystania omawianych narzędzi do budowy giełdowych strategii inwestycyjnych. Przeprowadzone badanie dla indeksu WIG20 na próbie z lat 2005–2016 dowodzi występowania związku między zmiennością stóp zwrotu indeksu WIG20 a stopami zwrotu indeksów giełdowych z rynku w USA, przy czym najsilniejsza zależność zidentyfikowana została w przypadku indeksu DJIA. Ponadto zaobserwowany został efekt ewolucji zmian wartości estymowanych parametrów w badanych modelach wraz z upływem czasu. Oszacowania parametrów z okresu próby z lat 2005–2016 wykorzystane zostały także w eksperymencie prognostycznym przy użyciu danych z roku 2017 z zastosowaniem dodatkowo kontraktów futures na indeks WIG20.pl_PL
dc.language.isoplpl_PL
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl_PL
dc.relation.ispartofseriesActa Universitatis Lodziensis. Folia Oeconomica;339
dc.rightsThis work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.pl_PL
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0pl_PL
dc.subjectstock marketen_GB
dc.subjectstock indicesen_GB
dc.subjectfutures contracts on stock indicesen_GB
dc.subjectinformation transmission processes among stock marketsen_GB
dc.subjectrynek akcjipl_PL
dc.subjectindeksy giełdowepl_PL
dc.subjectkontrakty futures na indeksy giełdowepl_PL
dc.subjectprocesy transmisji informacji między rynkami akcjipl_PL
dc.titleModelowanie i prognozowanie procesów transmisji sygnałów między rynkami akcji. Analiza wpływu zmienności kursowej na giełdach w USA na rynek akcji w Polscepl_PL
dc.title.alternativeModelling and Forecasting of Signal Transmission Processes among Stock Marketsen_GB
dc.typeArticlepl_PL
dc.page.number125-146
dc.contributor.authorAffiliationNewcastle Business School, Northumbria University, Newcastle-upon-Tyne; Katedra Rynku i Inwestycji Kapitałowych, Instytut Finansów, Wydział Ekonomiczno‑Socjologiczny, Uniwersytet Łódzki
dc.identifier.eissn2353-7663
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dc.contributor.authorEmailjanusz.brzeszczynski@northumbria.ac.uk
dc.identifier.doi10.18778/0208-6018.339.08
dc.relation.volume6pl_PL
dc.subject.jelC32
dc.subject.jelG15
dc.subject.jelG17


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