Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/4403
Title: Application of one-dimension STS-distribution for modelling magnitudes of stock indexes
Authors: Belsner, О. А.
Kritskiy, О. L.
Keywords: one-dimension distribution; modelling; magnitudes; stock indexes; modified method; modification; low distribution; logarithm; day increments; parameters; technique of maximum likelihood; statistic investigation; algorithm; autocorrelation; data; prices; lags
Issue Date: 2007
Publisher: Томский политехнический университет
Citation: Belsner О. А. Application of one-dimension STS-distribution for modelling magnitudes of stock indexes / О. А. Belsner, О. L. Kritskiy // Bulletin of the Tomsk Polytechnic University. — 2007. — Vol. 310, № 1. — [P. 42-47].
Abstract: Modified method STS-GARCH(1,1) has been considered. Modification consisted in rejection of the statement on normal low of logarithm distribution of time series day increment and in their application for the description of Smoothly Truncated a-Stable (STS)-distribution (smoothly abridged a-stable). The method parameters were found by the technique of maximum likelihood. Statistic investigation of the suggested algorithm accuracy was carried out and decrease of autocorrelation in data structure used for the analysis was shown. The method was used to predict share prices of lag 5.
URI: http://earchive.tpu.ru/handle/11683/4403
Appears in Collections:Известия Томского политехнического университета. Инжиниринг георесурсов

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