Forecasting Exchange Rate Volatility: Suggestions for Further Research
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F16%3A00090796" target="_blank" >RIV/00216224:14560/16:00090796 - isvavai.cz</a>
Result on the web
<a href="http://is.muni.cz/do/econ/sborniky/2016/EFS2016-Proceedings_final_September_12_final_web.pdf" target="_blank" >http://is.muni.cz/do/econ/sborniky/2016/EFS2016-Proceedings_final_September_12_final_web.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Forecasting Exchange Rate Volatility: Suggestions for Further Research
Original language description
The market volatility plays an important role in the world of finance and it is essential part of risk management, asset management and valuation of derivatives. Several models for volatility forecasting exist. The aim of this paper is to provide a theoretical background for further research in forecasting exchange rate volatility. The first part describes essential information about market volatility and its importance. Analysis of commonly used methods for volatility forecasting follows along with a comparison of individual econometric models. Empirical literature, which measures predicting abilities of different models on the real data from the foreign exchange market, is also examined. According to our results, one of the best model for forecasting exchange rate volatility is simple GARCH(1,1) model. However, the latest empirical evidence highlights relatively new HAR-RV model which is able to provide even better results.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
European Financial Systems 2016
ISBN
9788021083080
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
609-613
Publisher name
Masarykova univerzita
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000385692200081