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(G)ARCH-RBF Modelling of Conditional Volatility in Finance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86095614" target="_blank" >RIV/61989100:27510/15:86095614 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    (G)ARCH-RBF Modelling of Conditional Volatility in Finance

  • Original language description

    In this paper we investigate the importance of forecasting volatility in financial time series. We first present the models and methods used for volatility modelling nowadays, we discuss the basic properties of conditional financial volatility. We then suggest new hybrid model, so called ARCH-RBF which combines statistical ARCH model and RBF neural network into one hybrid model. We mathematically define our suggested hybrid model and we also theoretically present the upgraded version, so called GARCH-RBF and W-ARCH-RBF. Except for this we define the methodology - the forecasting procedure for practical ARCH-RBF forecasting. Finally, we discuss the proxy metrics which can ease the volatility modelling of differenced data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Research team for modelling of economic and financial processes at VSB-TU Ostrava</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Strategic Management and its Support by Information Systems 2015 : proceedings of the 11th international conference : May 21st-22nd, Uherské Hradiště, Czech Republic

  • ISBN

    978-80-248-3741-3

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    183-191

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Uherské Hradiště

  • Event date

    May 21, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article