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Predicting stock prices in Bank VIG

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F14%3A00000461" target="_blank" >RIV/75081431:_____/14:00000461 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predicting stock prices in Bank VIG

  • Original language description

    The aim of the work is to describe the various ways of modelling used for predicting stock prices in the bank VIG (hereinafter in VIG) made using trend analysis and time series analysis in order to obtain effective predictive models.Time series of 1525 final prices of VIP shares on stock exchanges in Prague are used and the models are applied to determine point and interval predictions of the prices of these stocks during the successive 5 trading days. The results are compared using the rates of accuracy and it is selected optimum application on the selected time series.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Logi

  • ISSN

    1804-3216

  • e-ISSN

  • Volume of the periodical

    roč. 5

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    116-129

  • UT code for WoS article

  • EID of the result in the Scopus database