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Using HMM Approach for Assessing Quality of Value at Risk Estimation: Evidence from PSE Listed Company

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43912765" target="_blank" >RIV/62156489:43110/17:43912765 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.11118/actaun201765051687" target="_blank" >https://doi.org/10.11118/actaun201765051687</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11118/actaun201765051687" target="_blank" >10.11118/actaun201765051687</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using HMM Approach for Assessing Quality of Value at Risk Estimation: Evidence from PSE Listed Company

  • Original language description

    The article points out the possibilities of using Hidden Markov model (abbrev. HMM) for estimation of Value at Risk metrics (abbrev. VaR) in sample. For the illustration we use data of the company listed on Prague Stock Exchange in range from January 2011 to June 2016. HMM approach allows us to classify time series into different states based on their development characteristic. Due to a deeper shortage of existing domestic results or comparison studies with advanced volatility governed VaR forecasts we tested HMM with univariate ARMA-GARCH model based VaR estimates. The common testing via Kupiec and Christoffersen procedures offer generalization that HMM model performs better that volatility based VaR estimation technique in terms of accuracy, even with the simpler HMM with normal-mixture distribution against previously used GARCH with many types of non-normal innovations.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    1687-1694

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85042848371