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The dynamic relationship between stock index and exchange rate: Evidence for Tunis

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  • Moussa Wajdi

Abstract

The analysis of time varying correlation between stock index and exchange rates in the context of international investments was been well researched in the literature in last few years. In this paper, we study the interdependence of stock index and exchange rate for the Tunis during the global financial crisis. Hence, we approve a DCC-FIAPARCH model to study the dynamic conditional correlation, throughout the period spanning from January 1, 2006 until January 1, 2017. The empirical results recommend asymmetric responses in correlations between the stock index and exchange rate from Tunisia. Moreover, the results indicate an increase of exchange rates and stock index correlations through the crisis periods, telling the different currencies vulnerability. Finally, we find some significant decreases in the estimated dynamic correlations, indicating the existence of a “currency contagion effect†during turmoil periods.JEL classification numbers: G32, G33, C22, C53, G15.Keywords: volatility, DCC-FIAPARCH, Global financial crisis, exchange rates, stock index and currency contagion.

Suggested Citation

  • Moussa Wajdi, 2019. "The dynamic relationship between stock index and exchange rate: Evidence for Tunis," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 8(1), pages 1-4.
  • Handle: RePEc:spt:fininv:v:8:y:2019:i:1:f:8_1_4
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    1. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    2. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    3. Bentes, Sonia R., 2016. "Long memory volatility of gold price returns: How strong is the evidence from distinct economic cycles?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 149-160.
    4. Issam Abdalla & Victor Murinde, 1997. "Exchange rate and stock price interactions in emerging financial markets: evidence on India, Korea, Pakistan and the Philippines," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 25-35.
    5. Riadh El Abed & Samir Maktouf, 2015. "Long Memory and Asymmetric Effects between Exchange Rates and Stock Returns," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 5(6), pages 1-4.
    6. Kodongo, Odongo & Ojah, Kalu, 2012. "The dynamic relation between foreign exchange rates and international portfolio flows: Evidence from Africa's capital markets," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 71-87.
    7. Phylaktis, Kate & Ravazzolo, Fabiola, 2005. "Stock market linkages in emerging markets: implications for international portfolio diversification," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(2), pages 91-106, April.
    8. Dimitriou, Dimitrios & Kenourgios, Dimitris, 2013. "Financial crises and dynamic linkages among international currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 319-332.
    9. Yanan Li & David E. Giles, 2015. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 155-177, March.
    10. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    11. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    12. Phylaktis, Kate & Ravazzolo, Fabiola, 2005. "Stock prices and exchange rate dynamics," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1031-1053, November.
    13. Granger, Clive W. J. & Huangb, Bwo-Nung & Yang, Chin-Wei, 2000. "A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(3), pages 337-354.
    14. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2013. "Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 46-56.
    15. Baur, Dirk G., 2012. "Financial contagion and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2680-2692.
    16. R. Smyth & M. Nandha, 2003. "Bivariate causality between exchange rates and stock prices in South Asia," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 699-704.
    17. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.
    18. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    19. Kang, Sang Hoon & Cho, Hwan-Gue & Yoon, Seong-Min, 2009. "Modeling sudden volatility changes: Evidence from Japanese and Korean stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3543-3550.
    20. Degiannakis, Stavros, 2004. "Volatility Forecasting: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model," MPRA Paper 96330, University Library of Munich, Germany.
    21. Ajayi, Richard A. & Friedman, Joseph & Mehdian, Seyed M., 1998. "On the relationship between stock returns and exchange rates: Tests of granger causality," Global Finance Journal, Elsevier, vol. 9(2), pages 241-251.
    22. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    23. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    24. Y. K. Tse, 1998. "The conditional heteroscedasticity of the yen-dollar exchange rate," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 49-55.
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    More about this item

    Keywords

    volatility; dcc-fiaparch; global financial crisis; exchange rates; stock index and currency contagion.;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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