Application of Fuzzy Garch model for forecasting low-frequency financial data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F02%3A00002388" target="_blank" >RIV/61989100:27510/02:00002388 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Fuzzy Garch model for forecasting low-frequency financial data
Original language description
The paper describes the approach to modelling volatility by combination of GARCH methodology and fuzzy regression approach for low-frequency financial data. The methodology is applied on exchange rates of the Czech economy, CZK/EUR. GARCH (1,1) model isdescribed and fuzzy regression with triangular fuzzy numbers is used. Illustrative example is presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA402%2F02%2F1046" target="_blank" >GA402/02/1046: Application of the Fuzzy-Stochastic Approaches in Financial Decision-making</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Eunite 2002, European Symphosium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems, Alfuberia
ISBN
3-89653-919-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
358-362
Publisher name
Verlag Mainz, Wissenschaftsverlag
Place of publication
Aachen
Event location
Alfuberia, Portugal
Event date
Sep 19, 2002
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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