La Volatilité Du Marché Boursier Marocain: Un Comportement Hors Norme

Article ID

C: FINANCE4JS37

Alt text: Financial market volatility affecting Moroccan stock exchange and economic stability.

La Volatilité Du Marché Boursier Marocain: Un Comportement Hors Norme

Mouallim Isam
Mouallim Isam
Kerkri Abdelmounaim
Kerkri Abdelmounaim
DOI

Abstract

This paper aims to model the volatility of Moroccan Stock Exchange and evaluate the predictive performance of volatility models during 2005-2020. Through an empirical study, we show that the closing price of MADEX and MASI index has some empirical characteristics known as “stylized facts” which make the standard models of volatility unable to replicate their characteristics. We use the GARCH, EGARCH, APARCH, FIGARCH and FIEGARCH models to estimate the volatility of the Moroccan Stock Exchange. The first result shows that the volatility of the Moroccan stock market does not behave similarly to the volatility of the international stock markets because she reacts to negative shocks and positive shocks. A second result shows that the FIGARCH and FIEGARCH models provide superior performance than the other GARCH volatility models which is an indicator of the presence of a long memory in the volatility process.

La Volatilité Du Marché Boursier Marocain: Un Comportement Hors Norme

This paper aims to model the volatility of Moroccan Stock Exchange and evaluate the predictive performance of volatility models during 2005-2020. Through an empirical study, we show that the closing price of MADEX and MASI index has some empirical characteristics known as “stylized facts” which make the standard models of volatility unable to replicate their characteristics. We use the GARCH, EGARCH, APARCH, FIGARCH and FIEGARCH models to estimate the volatility of the Moroccan Stock Exchange. The first result shows that the volatility of the Moroccan stock market does not behave similarly to the volatility of the international stock markets because she reacts to negative shocks and positive shocks. A second result shows that the FIGARCH and FIEGARCH models provide superior performance than the other GARCH volatility models which is an indicator of the presence of a long memory in the volatility process.

Mouallim Isam
Mouallim Isam
Kerkri Abdelmounaim
Kerkri Abdelmounaim

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Mouallim Isam. 2026. “. Global Journal of Management and Business Research – C: Finance GJMBR-C Volume 23 (GJMBR Volume 23 Issue C1): .

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Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Issue Cover
GJMBR Volume 23 Issue C1
Pg. 23- 30
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GJMBR-C Classification: JEL Code: H54
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La Volatilité Du Marché Boursier Marocain: Un Comportement Hors Norme

Mouallim Isam
Mouallim Isam
Kerkri Abdelmounaim
Kerkri Abdelmounaim

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