Application of one-dimension STS-distribution for modelling magnitudes of stock indexes

Bibliographic Details
Parent link:Bulletin of the Tomsk Polytechnic University/ Tomsk Polytechnic University (TPU).— , 2006-2007
Vol. 310, № 1.— 2007.— [P. 42-47]
Main Author: Belsner O. A. Olga Alexandrovna
Other Authors: Kritski O. L. Oleg Leonidovich
Summary:Заглавие с титульного листа
Электронная версия печатной публикации
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.
Published: 2007
Series:Mathematics and mechanics. Physics
Subjects:
Online Access:http://www.lib.tpu.ru/fulltext/v/Bulletin_TPU/2007/v310eng/i1/09.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=180602