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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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