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Modeling exchange volatility in Egypt using GARCH models

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  • Bouoiyour, Jamal
  • Selmi, Refk

Abstract

In this study, we consider the generalized autoregressive conditional heteroscedastic approach in modeling real effective exchange rate in Egypt using monthly data from 1994 to 2009. Various GARCH extensions are performed here. The main results show that real effective exchange rate volatility may have different behaviors based on measures enable to determine it. More importantly, when we take into account volatility clustering (i.e. Standard GARCH), we observe a quite persistence implying a mean reverting variance process. However, when we consider the leverage effect (i.e. Exponential GARCH), we notice a tendency to a long memory which can be itself a source of an explosive process.

Suggested Citation

  • Bouoiyour, Jamal & Selmi, Refk, 2012. "Modeling exchange volatility in Egypt using GARCH models," MPRA Paper 49131, University Library of Munich, Germany, revised Mar 2013.
    • Handle: RePEc:pra:mprapa:49131
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    References listed on IDEAS

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    5. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    6. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Sayo Ayodeji, 2015. "Modeling Asymmetric Effect in African Currency Markets: Evidence from Kenya," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 4(3), pages 1-2.

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    More about this item

    Keywords

    Exchange volatility; GARCH model; Egypt.;
    All these keywords.

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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