fbpx

Mariana Chambino – ESCE, Polytechnic Institute of Setúbal, Portugal

Nicole Horta – ESCE, Polytechnic Institute of Setúbal, Portugal

Rui Dias – ESCE, Polytechnic Institute of Setúbal, Portugal; Center for Studies and Advanced Training in Management and Economics (CEFAGE), University of Évora, Portugal

Keywords:
MENA markets;
Variance ratios;
Random walk;
Arbitration

DOI: https://doi.org/10.31410/EMAN.S.P.2023.19

Abstract: This research aims to provide evidence for investors and regula­tors of the MENA stock markets, including Bahrain (BASI), Egypt (EGX 30), Abu Dhabi (FTSE ADX), Pakistan (KSE 100), Morocco (MASI), Oman (MSM 30), Qatar (QSE), Saudi Arabia (TADAWUL ALL), and Tunisia (TUNNIDEX), from March 1, 2018, to February 23, 2023. Because variance ratios are less than one, the results show that indexes do not follow the random walk hypoth­esis (RWH), suggesting autocorrelation in returns over time and average re­versal in all indexes. These findings refute both the RWH and the financial market information efficiency hypothesis. According to the study, market regulators should take initiatives to improve information in these regional markets.

Download full paper

7th International Scientific Conference – EMAN 2023 – Economics and Management: How to Cope With Disrupted Times, Ljubljana, Slovenia, March 23, 2023, SELECTED PAPERS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-70-7, ISSN 2683-4510, DOI: https://doi.org/10.31410/EMAN.S.P.2023

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission. 

Suggested citation
Chambino, M., Horta, N., & Dias, R. (2023). Market Predictability and Mean Reversion in MENA Markets: An Empirical Study of Equity Market Efficiency. In V. Bevanda (Ed.), International Scientific Conference – EMAN 2023: Vol 7. Selected Papers (pp. 19-33). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/EMAN.S.P.2023.19

REFERENCES

Al-Zaubia, K., & Al-Nahlehb, M. (2010). Financial markets efficiency: Empirical evidence from some Middle East & North Africa countries (MENA). International Research Journal of Finance and Economics, 49.

Ananzeh, I. N. (2021). Investigating the efficiency of financial markets: Empirical evidence from MENA countries. Investment Management and Financial Innovations, 18(1). https://doi.org/10.21511/imfi.18(1).2021.21

Aslam, F., Ferreira, P., Ali, H., Arifa, & Oliveira, M. (2023). Islamic vs. Conventional Equity Markets: A Multifractal Cross-Correlation Analysis with Economic Policy Uncertainty. Economies, 11(1), 16. https://doi.org/10.3390/economies11010016

Bachelier, L. (1900). Théorie de la spéculation. Annales Scientifiques de l’École Normale Supérieure. https://doi.org/10.24033/asens.476

Brock, W. A., & de Lima, P. J. F. (1996). 11 Nonlinear time series, complexity theory, and fi­nance. In Handbook of Statistics (Vol. 14). https://doi.org/10.1016/S0169-7161(96)14013-X

Clemente, J., Montañés, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics Letters, 59(2), 175–182. https://doi.org/10.1016/s0165-1765(98)00052-4

Cowles, A. (1933). Can Stock Market Forecasters Forecast? Econometrica. https://doi.org/10.2307/1907042

Cowles, A. (1944). Stock Market Forecasting. Econometrica. https://doi.org/10.2307/1905433

Dias, R., Chambino, M., & Horta, N. (2023). Long-Term Dependencies in Central European Stock Markets : A Crisp-Set. 2(February), 10–17. https://doi.org/10.58567/eal02010002

Dias, R., Horta, N., & Chambino, M. (2023). Journal of Economic Analysis. Journal of Eco­nomic Analysis, 9(1), 129–151. https://doi.org/10.58567/jea02010005

Dias, R., Pereira, J. M., & Carvalho, L. C. (2022). Are African Stock Markets Efficient? A Com­parative Analysis Between Six African Markets, the UK, Japan and the USA in the Period of the Pandemic. Naše Gospodarstvo/Our Economy, 68(1), 35–51. https://doi.org/10.2478/ngoe-2022-0004

Dias, R., & Santos, H. (2020). Stock Market Efficiency in Africa: Evidence From Random Walk Hypothesis. 6th LIMEN Conference Proceedings (Part of LIMEN Conference Collection), 6(July), 25–37. https://doi.org/10.31410/limen.2020.25

Dias, R. T., Pardal, P., Teixeira, N., & Horta, N. R. (2022). Tail Risk and Return Predictabil­ity for Europe’s Capital Markets: An Approach in Periods of the 2020 and 2022 Crises. Advances in Human Resources Management and Organizational Development, 281-298. https://doi.org/10.4018/978-1-6684-5666-8.ch015

Dickey, D., & Fuller, W. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517

Fama, E. F. (1965a). Random Walks in Stock Market Prices. Financial Analysts Journal, 21(5). https://doi.org/10.2469/faj.v21.n5.55

Fama, E. F. (1965b). The Behavior of Stock-Market Prices. The Journal of Business, 38(1). https://doi.org/10.1086/294743

Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2). https://doi.org/10.2307/2325486

Fama, E. F., & French, K. R. (1988). Dividend yields and expected stock returns. Journal of Fi­nancial Economics, 22(1). https://doi.org/10.1016/0304-405X(88)90020-7

Gibson, G. R. (1889). The Stock Markets of London, Paris and New York. G.P. Putnam’s Sons.

Granger, C. W. J., & Morgenstern, O. (1963). Spectral Analysis of New York Stock Market Pric­es. Kyklos. https://doi.org/10.1111/j.1467-6435.1963.tb00270.x

Guedes, E. F., Santos, R. P. C., Figueredo, L. H. R., Da Silva, P. A., Dias, R. M. T. S., & Zebende, G. F. (2022). Efficiency and Long-Range Correlation in G-20 Stock Indexes: A Sliding Windows Approach. Fluctuation and Noise Letters. https://doi.org/10.1142/S021947752250033X 

Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Jour­nal. https://doi.org/10.1111/1368-423x.00043 

Heliodoro, P., Dias, R., & Alexandre, P. (2020). Financial Contagion Between the US and Emerg­ing Markets: Covid-19 Pandemic Case. 4th EMAN Selected Papers (Part of EMAN Confer­ence Collection), 1–9. https://doi.org/10.31410/eman.s.p.2020.1 

Horta, N., Dias, R., Revez, C., Heliodoro, P., & Alexandre, P. (2022). Spillover and Quantita­tive Link Between Cryptocurrency Shocks and Stock Returns: New Evidence From G7 Countries. Balkans Journal of Emerging Trends in Social Sciences, 5(1), 1–14. https://doi.org/10.31410/balkans.jetss.2022.5.1.1-14  

Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and se­rial independence of regression residuals. Economics Letters, 6(3). https://doi.org/10.1016/0165-1765(80)90024-5  

Lagoarde-Segot, T., & Lucey, B. M. (2008). Efficiency in emerging markets-Evidence from the MENA region. Journal of International Financial Markets, Institutions and Money, 18(1). https://doi.org/10.1016/j.intfin.2006.06.003 

Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1). https://doi.org/10.1016/S0304-4076(01)00098-7 

Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(SUPPL.), 631–652. https://doi.org/10.1111/1468-0084.0610s1631 

Osborne, M. F. M. (1959). Brownian Motion in the Stock Market. Operations Research. https://doi.org/10.1287/opre.7.2.145 

Pardal, P., Dias, R., Teixeira, N., & Horta, N. (2022). The Effects of Russia’s 2022 Invasion of Ukraine on Global Markets : An Analysis of Particular Capital and Foreign Exchange Markets. https://doi.org/10.4018/978-1-6684-5666-8.ch014 

Perron, P., & Phillips, P. C. B. (1988). Testing for a Unit Root in a Time Series Regression. Bi­ometrika, 2(75), 335–346. https://doi.org/10.1080/07350015.1992.10509923 

 Roberts, H. V. (1959). Stock‐Market “Patterns” and Financial Analysis: Methodological Sugges­tions. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1959.tb00481.x 

Santana, T., Horta, N., Revez, C., Santos Dias, R. M. T., & Zebende, G. F. (2023). Effects of in­terdependence and contagion between Oil and metals by ρ DCCA : an case of study about the COVID-19. 1–11.

Sensoy, A. (2013). Generalized Hurst exponent approach to efficiency in MENA markets. Physica A: Statistical Mechanics and Its Applications, 392(20). https://doi.org/10.1016/j.physa.2013.06.041    

Takyi, P. O., & Bentum-Ennin, I. (2020). The impact of COVID-19 on stock market perfor­mance in Africa: A Bayesian structural time series approach. Journal of Economics and Business. https://doi.org/10.1016/j.jeconbus.2020.105968 

Vats, A., & Kamaiah, B. (2011). Is There a Random Walk in Indian Foreign Exchange Market? International Journal of Economics and Finance, 3(6), 157–165. https://doi.org/10.5539/ijef.v3n6p157 

Working, H. (1949). The investigation of economic expectations. The American Economic Review.

Wright, J. H. (2000). Alternative variance-ratio tests using ranks and signs. Journal of Business and Economic Statistics. https://doi.org/10.1080/07350015.2000.10524842 

Zebende, G. F., Santos Dias, R. M. T., & de Aguiar, L. C. (2022). Stock market efficiency: An intraday case of study about the G-20 group. In Heliyon (Vol. 8, Issue 1). https://doi.org/10.1016/j.heliyon.2022.e08808  

Share this