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Evaluating interdependencies in African markets A VECM approach

Author

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  • Konstantinos Vergos
  • Benjamin Wanger

Abstract

This study evaluates the linkages between stock markets and macroeconomic data in the sub-Sahara Africa during the 2008 –2018 period by using VECM. Our findings confirm unidirectional and bidirectional causalities, and a long-run equilibrium between the indexes, the stock exchanges and their national economies. The contemporaneous sectoral infectivity surpasses the long-run responses. While the banking sector was found to lead markets and macroeconomic indices, Nigerian, Moroccan and Swaziland markets were found to be most weakly integrated. Our findings provide a unique evidence of interdependence between African peripheral markets that could be used in cross-hedging and speculative strategies in fund management.

Suggested Citation

  • Konstantinos Vergos & Benjamin Wanger, 2019. "Evaluating interdependencies in African markets A VECM approach," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 65-85.
    • Handle: RePEc:rmk:rmkbae:v:6:y:2019:i:1:p:65-85
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    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    3. Emmanuel O. Nwosu & Anthony Orji & Ogomegbunam Anagwu, 2013. "African Emerging Equity Markets Re‐examined: Testing the Weak Form Efficiency Theory," African Development Review, African Development Bank, vol. 25(4), pages 485-498, December.
    4. Carlos Forner & Joaquín Marhuenda, 2003. "Contrarian and Momentum Strategies in the Spanish Stock Market," European Financial Management, European Financial Management Association, vol. 9(1), pages 67-88, March.
    5. David, Joel M. & Simonovska, Ina, 2016. "Correlated beliefs, returns, and stock market volatility," Journal of International Economics, Elsevier, vol. 99(S1), pages 58-77.
    6. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    7. Garcia, René & Mantilla-García, Daniel & Martellini, Lionel, 2014. "A Model-Free Measure of Aggregate Idiosyncratic Volatility and the Prediction of Market Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1133-1165, December.
    8. Binder, John J & Merges, Matthias J, 2001. "Stock Market Volatility and Economic Factors," Review of Quantitative Finance and Accounting, Springer, vol. 17(1), pages 5-26, July.
    9. Alan J. Marcus, 1989. "An Equilibrium Theory of Excess Volatility and Mean Reversion in Stock Market Prices," NBER Working Papers 3106, National Bureau of Economic Research, Inc.
    10. Mohammad Alomari & David. M. Power & Nongnuch Tantisantiwong, 2018. "Determinants of equity return correlations: a case study of the Amman Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 33-66, January.
    11. Bharat Kolluri & Mahmoud Wahab, 2008. "Stock returns and expected inflation: evidence from an asymmetric test specification," Review of Quantitative Finance and Accounting, Springer, vol. 30(4), pages 371-395, May.
    12. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    13. 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.
    14. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    15. Foresti, Pasquale, 2006. "Testing for Granger causality between stock prices and economic growth," MPRA Paper 2962, University Library of Munich, Germany, revised 2007.
    16. Malik, Farooq & Hammoudeh, Shawkat, 2007. "Shock and volatility transmission in the oil, US and Gulf equity markets," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 357-368.
    17. Peter Pedroni & Tim Vogelsang, 2005. "Robust Unit Root and Cointegration Rank Tests for Panels and Large Systems," Department of Economics Working Papers 2005-04, Department of Economics, Williams College.
    18. Kate Phylaktis & Lichuan Xia, 2009. "Equity Market Comovement and Contagion: A Sectoral Perspective," Financial Management, Financial Management Association International, vol. 38(2), pages 381-409, June.
    19. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    20. A. Mansur M. Masih & Trent Winduss, 2006. "Who Leads the Australian Interest Rates in the Short and Long Run? An Application of Long Run Structural Modelling," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-24.
    21. Patro, Dilip K. & Qi, Min & Sun, Xian, 2013. "A simple indicator of systemic risk," Journal of Financial Stability, Elsevier, vol. 9(1), pages 105-116.
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    More about this item

    Keywords

    Asset pricing; Africa; interdependence; VECM;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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