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On the interdependence structure of market sector indices: the case of Qatar Exchange


  • Walid M.A. Ahmed


Purpose - The purpose of this paper is to investigate the interrelationships amongst the sector-specific indices of the Qatar Exchange (QE) (i.e. Banking and Financial Institutions (BFI), Industrial (IND), Insurance (INS), and Services (SER)). More specifically, three key issues are explored in this study. First, the long-run relationships amongst the sectors. Second, the short-run causal relationships amongst them; and third, the relative degree of endogeneity/exogeneity of each sector. Design/methodology/approach - To address the issues of interest, the author employs the econometric analyses of Johansen's multivariate cointegration, Granger's causality, and generalized forecast error variance decomposition. This battery of techniques gives the opportunity to examine the nature of both long- and short-run intersectoral relationships in the QE. To augment the robustness of the empirical analysis, daily as well as weekly closing stock price indices for the four sectors of the Qatar Exchange are used, spanning the period from January 2, 2008 up to April 7, 2011. Findings - Based on daily and weekly data, the results of Johansen's multivariate cointegration analysis suggest that the four sector indices of the QE share a long-term equilibrium relationship. The Granger's causality analysis based on daily and weekly datasets provides clear evidence that the BFI sector seems to be a significant causal factor in regard to the price predictability of the remaining sectors in the short run, and that the SER sector surprisingly seems to have the least influential role. Finally, the results of the generalized forecast error variance decomposition analysis using daily data show that the IND and BFI appear to be the most exogenous sectors, whereas the SER and INS are the most endogenous ones. The results based on weekly data confirm the relative exogeneity of the BFI sector and the relative endogeneity of the SER sector. Practical implications - The findings of this study hold practical implications for individual and institutional investors alike. The potential gains derived from cross-sector diversification could be rather limited, given the significant degree of interrelationships found amongst the sector indices of the QE. Moreover, the composition of domestic portfolios based on sector-level investments should be revisited, particularly after major events. The findings also bring some important insights for policymakers. Given the influential role played by the BFI sector in the Qatari economy, policymakers should design appropriate strategies that curb the spread of unanticipated shocks originating from this sector to its counterparts. Besides, due to the considerable degree of endogeneity of the SER sector, it is essential for policymakers to set up precautionary regulations, with the aim of minimizing its vulnerability to common shocks in turbulent times. Originality/value - Building upon the extant research and focusing on a relatively unexplored market, the paper represents a pioneer attempt to provide empirical evidence on the interdependence structure amongst the sector-specific indices of the Qatar Exchange.

Suggested Citation

  • Walid M.A. Ahmed, 2012. "On the interdependence structure of market sector indices: the case of Qatar Exchange," Review of Accounting and Finance, Emerald Group Publishing, vol. 11(4), pages 468-488, October.
  • Handle: RePEc:eme:rafpps:v:11:y:2012:i:4:p:468-488

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    References listed on IDEAS

    1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(4), pages 537-572.
    4. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    5. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    6. Dekker, Arie & Sen, Kunal & Young, Martin R., 2001. "Equity market linkages in the Asia Pacific region: A comparison of the orthogonalised and generalised VAR approaches," Global Finance Journal, Elsevier, vol. 12(1), pages 1-33.
    7. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    8. Chuang, I-Yuan & Lu, Jin-Ray & Tswei, Keshin, 2007. "Interdependence of international equity variances: Evidence from East Asian markets," Emerging Markets Review, Elsevier, vol. 8(4), pages 311-327, December.
    9. Eleni Constantinou & Avo Kazandjian & George Kouretas & Vera Tahmazian, 2005. "Cointegration, causality and domestic portfolio diversification in the Cyprus Stock Exchange," Working Papers 0522, University of Crete, Department of Economics.
    10. Karmakar, Madhusudan, 2010. "Information transmission between small and large stocks in the National Stock Exchange in India: An empirical study," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(1), pages 110-120, February.
    11. Tak-Kee Hui, 2005. "Portfolio diversification: a factor analysis approach," Applied Financial Economics, Taylor & Francis Journals, vol. 15(12), pages 821-834.
    12. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 241-256, June.
    13. Bradley Ewing, 2002. "The transmission of shocks among S&P indexes," Applied Financial Economics, Taylor & Francis Journals, vol. 12(4), pages 285-290.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    17. Ahlgren, Niklas & Antell, Jan, 2010. "Stock market linkages and financial contagion: A cobreaking analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 157-166, May.
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