The lead-lag relationship among select regional islamic equity markets

al Bdiwy, Feras and Masih, Mansur (2017): The lead-lag relationship among select regional islamic equity markets.

Abstract

This study investigates the issue of integration in regional Islamic equity markets. For this purpose, four of the Dow Jones Islamic indexes, namely USA, UK, Euro Zone, and Asia Pacific have been selected for analysis. The issue is approached from two perspectives: (i) whether these markets move together (ii) and the dynamic linkages from the lead-lag relationships. Our analysis finds one significant cointegrating relationship among the selected Islamic equity markets, with the U.K Islamic equity market being the follower and the U.S Islamic equity market being the most leading one. These findings may suggest that Islamic equity markets also have a strong long-run equilibrium relationship mostly driven by fundamental element of the economy. In addition, the strong leading role of the U.S. Islamic equity index means that the U.S. market has a strong influence over the other regional markets even within the context of Islamic finance. The global bullish financial market driven by the U.S. market, which was followed by the subprime crisis, may explain this evidence.

• Item Type: MPRA Paper
• Language: English
• Keywords: regional Islamic stock markets; Granger-causality, VECM, VDC
• Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics; G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets

References

Ahlgren, N. and Antell, J. (2002), Testing for Cointegration Between International Stock Prices, Applied Financial Economics, 12, 851-861.

Bartram, Söhnke M., and Gunter Dufey (2001). International portfolio investment: theory, evidence, and institutional framework. Financial Markets, Institutions & Instruments, 10 (3), 85-155.

Bayoumi, Tamim, and Trung Bui (2012), Global Bonding: Do US Bond and Equity Spillovers Dominate Global Financial Markets? IMF Working paper, WP/12/298, December.

Bekaert, Geert, Campbell R. Harvey, and Christian Lundblad (2011) Financial openness and productivity. World Development, 39(1), 1-19.

De Santis, Robert A., and Bruno Gérard(2009) International portfolio reallocation: Diversification benefits and European monetary union. European Economic Review, 53(8), 1010-1027.

Engle, R. and Granger, C. (1987). Cointegration and error correction representation, estimation, and testing, Econometrica, 55(2), 251–276.

Masih, R., and Masih, M, (1996), Macroeconomic Activity Dynamics and Granger Causality: New Evidence from a Small Developing Economy Based on a Vector Error Correction Modeling Analysis, Economic Modeling, 13(3), 407-426.

Muradoglu, G., Taskin F., and Bigan, I. (2000). Causality between stock returns and macroeconomic variables in emerging markets. Journal of Finance and Trade, 36(6), 33-53.

Nasseh, Alireza, and Strauss, Jack (2000), Stock prices and domestic and international macroeconomic activity: A cointegration approach, The quarterly review of economics and finance, 40(2), 229-245.

Tunali, Halil, (2010), The analysis of relationships between macro-economic factors and stock returns: Evidence from Turkey using VAR model, International research journal of finance and economics, 57, 169-182.