Modeling exchange volatility in Egypt using GARCH models

Bouoiyour, Jamal and Selmi, Refk (2012): Modeling exchange volatility in Egypt using GARCH models.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Exchange volatility, GARCH model, Egypt.
• Subjects: E - Macroeconomics and Monetary Economics > E0 - General; F - International Economics > F1 - Trade > F14 - Empirical Studies of Trade

References

Bouoiyour J., Jellal M. and Selmi R., (2012): “Est-ce que les flux financiers réduisent la volatilté de la croissance marocaine? FEMISE Report 2012, Forthcoming.

Bouoiyour, J. and Selmi, R. (2012): “The link between exchange rate and exports in Tunisia: Does differential price make a difference?” Mimeo CATT, University of Pau.

Bouoiyour, J. and Selmi, R. (2013): “Nonlinearities and oil price effects on Russia’s real exchange rate: Considering the effects of oil shocks.” Mimeo CATT, University of Pau.

Ding Z., Granger, C.W. and Engle, R.F., (1993): “A long memory property of stock market returns and a new model.” Journal of Empirical Finance 1, pp. 83-106.

Engle, R.F. and T. Bollerslev. (1986): “Modelling the persistence of conditional variances.” Econometric Reviews 5, pp. 1-50.

Engle, R. F., Lilien, D. M. and Robins, R. P., (1987): “Estimating Time Varying Risk Premia in the Term Structure: The ARCH-M Model.” Econometrica 55, pp. 391-407.

Fama, E.F. (1963) : “Mandelbrot and the stable paretian distribution.” Journal of Business 36, pp. 420–429.

Gosten, L. R., Jagannathan, R. and Runkle, D. E. (1993): “On the relation between the expected value and the volatility of the nominal excess return on stocks”. The Journal of Finance 48 (5), pp.1779-1801.

Granger, C.W.J., Ding, Z., Engle R.F. (1993): “A Long Memory Property of Stock Market Returns and a New Model. Journal of Empirical Finance 1, pp.83–106.

Higgins, M.L. and Bera, A.K., (1992): “A Class of nonlinear ARCH models”. International Economic Review 33, pp. 137-58.

Kamar B. (2004): “De facto exchange rate policies in the MENA region: Toward deeper cooperation.” Economic Research Forum for the Arab countries, Beirut, Lebanon.

Mandelbrot, B. (1963): “The variation of certain speculative prices.” Journal of Business 36, pp. 394-414.

Tong H., (1990): “Nonlinear time series analysis since 1990: Some personal reflections”. Mimeo University of Hong Kong and London school economics.

Zakoian, J.M., (1994): “Threshold Heteroskedastic Models”, Journal of Economic Dynamics and Control 18, pp. 931-935.