Financial Integration of North Africa Stock Markets

Onour, Ibrahim (2009): Financial Integration of North Africa Stock Markets.

Abstract

This paper investigates long-term relationship that links stock prices of three major North African stock markets: Egypt, Morocco, and Tunisia . The paper shows, there is strong evidence of multivariate and bivariate nonlinear long-term relationship between stock prices of these markets. Nonlinear cointegration between stock prices imply portfolios in these markets are inefficient (systematic risk cannot be diversified away), as movement in the price of one market influence the movement in another market in a predictable direction and disproportionately.

• Item Type: MPRA Paper
• Language: English
• Keywords: cointegration, portfolio, diversification, nonparametric
• Subjects: E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy; C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics

References

References Abhyanker A., Copeland L., and Wong W., (1997) “Uncovering Nonlinear Structure in Real Time Stock Market Indexes:The S&P 500, The Dax, The NIKK 225, and FTSE 100” Journal of Business and Economic Statistics, Vol.15, pp.1-14. Barnett, W., and Serletis A., (2000) “Martigales, Nonlinearity, and Chaos” Journal of Economic Dynamics and Control, Vol.24, pp.703-724. Bekaert, G.; and Harvey, C.; (1995) “Time Varying World Market Integration” Journal of Finance, 50, 403-444.

Breitung J., and Gourieroux, C., (1997) “ Rank Test for Unit Roots” Journal of Econometrics, Vol.81, pp.7-27.

Breitung J., (2001, July) “Rank Test for Nonlinear Cointegration” Journal of Business & Economic Statistics, Vol. 19, no.3, pp. 331-340.

Chang, T., Hsu-Ling C., Hsiao-Ping C, and Chi-Wei Su (2005) “Does Rational Bubbles Exist in the Taiwan Stock Market? Evidence From Nonparametric Cointegration Test” Economic Bulliten, Vol.3, No.41, pp.1-9.

Dicky, D.A; and Fuller W.A; (1981) “Liklihood Ratio Statistics For Autoregressive Time Series With a Unit Root”, Econometrica, Vol 49, pp. 1057 1072.

Dicky, D.A; and Fuller W.A; (1979) “Distribution of the Estimators for Autoregressive Time Series With a Unit Root” Journal of American Statistical Association, 74, 427-431.

DeJong, D.; Nankervis, J.; Savin, N.; and Whiteman, C.; (1992a) “Integration Versus Trend Stationarity in Macroeconomic Time Series” Econometrica, 60, 423-434.

Eun C.; Shim S.; (1989) “International Transmission of Stock Market Movements” Journal of Financial and Quantitative Analysis, 24, 241- 256.

Johansen, S., and Juseilus, K., (1990) “Maximum Liklihood Estimation and Inference On Cointegration – With Application to The Demand For Money, Oxford Bulletin of Economics and Statistics,52,169-210.

Kwiatkowski, D.; Phillips, P.; Schmidt, P.; and Shin, Y.; (1992) “ Testing the Null Hypothesis of Stationarity Against the Alternatives of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?” Journal of Econometrics, 54, 159-178.

King M.; and Wadhwani S.; (1990) “Transmission of Volatility Between Stock Markets” Review of Financial Studies, 3, 5-33.

Longin, F.; and Solnik, B.; (1995) “Is Correlation in International Equity Returns Constant: 1960 – 1990” Journal of International Money and Finance, 14, 3 – 26.

Longin, F.; and Solnik, B.; (2001) “Extreme Correlation of International Equity Markets” Journal of Finance,56, 649-676

Lee, S.; and Kim, K.; (1993), Does the October 1987 Crash Strengthen the Co-movments among National Stock Markets ?”, Review of Financial Economics, 3, 89 – 102.

Lee, T., White H., and Granger C., (1993) “Testing for Neglected Nonlinearity in Time Series Models: A Comparison of Neural Network Methods, and Alternative Tests” Journal of Econometrics, Vol.56, pp. 269-290.

Mackinnon J., Haug A. and Michelis L. (1999) “Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration” Journal of Applied Econometrics, Vol.,14, pp. 563-577.

Masih A.; Masih R.; (1997) “Dynamic Linkages and the Propagation Mechanism Driving Major International Stock Markets” Quarterly Review of Economics and Finance, 37, 859-885.

Ng, S.; Perron, P.; (1993b), Unit Root Tests in ARMA Models with Data Dependent Methods for The Selection of the Truncation Lag, (Manuscript), C.R.D.E., University of Montreal, Quebec.

Hamao, Y.; Masulis; and Ng, V.; (1989) “ Correlation in Price Changes and Volatility a Cross International Stock Markets”, Review of Financial Studies, 3, 281-307.

Hiemstra, C., and Jones J.(1994) “Testing for Linear and Nonlinear Granger Causality in the Stock Price Volume Relation” Journal of Finance, Vol.49

Hsieh, D. (1991) “Chaos and Nonlinear Dynamic: Application to Financial Markets” Journal of Finance, Vol.46, pp. 1839-1877.

Granger C., Hallman, J. (1991) “Nonlinear Transformations of Integrated Time Series” Journal of Time Series Analysis, Vol.,12, pp. 207-224.

Green, W.;(1993): Econometric Analysis, 2nd Edition, Macmillan. Roll, R.; (1989) “The International Crash of October, 1987” Financial Analysis Journal, 44, 19 – 35.

Rigobon, R.; (2001) “Contagion: How to Measure It ?”, Working Paper 8118, NBER.

Rigobon, R.; (2002) “On the International Propogation Of Shocks: Is It Stable ?” Journal of International Economics, Forthcoming.

Schmidt, P., Phillips, P., (1992) “LM Test for a Unit Root in the Presence of Deterministic Trends” Oxford Bulletin of Economics and Statistics, Vol. 54, pp. 256-287.

Phillips, P.(1988) “Trends and Random Walks In MacroeconomicTime Series” Journal of Economic Dynamics and Control, Vol.12, pp. 297 332.

Tuluca S.; Zwick B.; (2001) “The Effects of the Asian Crisis on Global Equity Markets” Financial Review, 36, 125-142.

Whistler, D.; White, K.; Wong, D.; and Bates, D.,: Shazam Software, and Users Reference Manual, Version 10, Northwest Econometrics, Ltd.