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Currency price risk and stock market returns in Africa: Dependence and downside spillover effects with stochastic copulas

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  • Boako, Gideon
  • Alagidede, Paul

Abstract

We model (extreme) downside currency price risk spillover effects to Africa’s equity markets using value-at-risk (VaR) and conditional value-at-risk (CoVaR) based on stochastic copulas. We find evidence of non-homogenous weak negative dependence between stocks and the US dollar (USD) and Euro (EUR) exchange rates, suggesting that higher (lower) equity prices are accompanied by depreciation (appreciation) of domestic currencies. We report spillover effects for the crisis and post-crisis periods of the recent global financial crisis. It is inferred from the findings that foreign exchange price risk may command premium in some African equity markets, particularly during market turmoil to weaken any hedge capabilities of domestic stock markets for investors. Policy makers and investors seeking to shield a diversified portfolio against adverse effects of extreme market movements in the stock and exchange rate markets in Africa may take a cue from the results.

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  • Boako, Gideon & Alagidede, Paul, 2017. "Currency price risk and stock market returns in Africa: Dependence and downside spillover effects with stochastic copulas," Journal of Multinational Financial Management, Elsevier, vol. 41(C), pages 92-114.
  • Handle: RePEc:eee:mulfin:v:41:y:2017:i:c:p:92-114
    DOI: 10.1016/j.mulfin.2017.06.001
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    as
    1. Pourkhanali, Armin & Kim, Jong-Min & Tafakori, Laleh & Fard, Farzad Alavi, 2016. "Measuring systemic risk using vine-copula," Economic Modelling, Elsevier, vol. 53(C), pages 63-74.
    2. Leo Michelis & Cathy Ning, 2010. "The dependence structure between the Canadian stock market and the USD/CAD exchange rate: a copula approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 43(3), pages 1016-1039, August.
    3. W. Breymann & A. Dias & P. Embrechts, 2003. "Dependence structures for multivariate high-frequency data in finance," Quantitative Finance, Taylor & Francis Journals, vol. 3(1), pages 1-14.
    4. Paul Alagidede & Theodore Panagiotidis & Xu Zhang, 2011. "Causal relationship between stock prices and exchange rates," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 20(1), pages 67-86.
    5. Delatte, Anne-Laure & Lopez, Claude, 2013. "Commodity and equity markets: Some stylized facts from a copula approach," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5346-5356.
    6. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    7. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    8. Ning, Cathy, 2010. "Dependence structure between the equity market and the foreign exchange market-A copula approach," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 743-759, September.
    9. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    10. Tsai, I-Chun, 2012. "The relationship between stock price index and exchange rate in Asian markets: A quantile regression approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 609-621.
    11. Reboredo, Juan C. & Ugolini, Andrea, 2015. "Systemic risk in European sovereign debt markets: A CoVaR-copula approach," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 214-244.
    12. Walid, Chkili & Chaker, Aloui & Masood, Omar & Fry, John, 2011. "Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach," Emerging Markets Review, Elsevier, vol. 12(3), pages 272-292, September.
    13. Gideon Boako & Maurice Omane-Adjepong & Joseph Magnus Frimpong, 2016. "Stock Returns and Exchange Rate Nexus in Ghana: A Bayesian Quantile Regression Approach," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 149-179, March.
    14. Drew Creal & Siem Jan Koopman & André Lucas, 2013. "Generalized Autoregressive Score Models With Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 777-795, August.
    15. Dungey, Mardi & Gajurel, Dinesh, 2015. "Contagion and banking crisis – International evidence for 2007–2009," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 271-283.
    16. He, Zonglu & Maekawa, Koichi, 2001. "On spurious Granger causality," Economics Letters, Elsevier, vol. 73(3), pages 307-313, December.
    17. Ahmed, Abdullahi D. & Mmolainyane, Kelesego K., 2014. "Financial integration, capital market development and economic performance: Empirical evidence from Botswana," Economic Modelling, Elsevier, vol. 42(C), pages 1-14.
    18. Kodongo, Odongo & Ojah, Kalu, 2011. "Foreign exchange risk pricing and equity market segmentation in Africa," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2295-2310, September.
    19. Girardi, Giulio & Tolga Ergün, A., 2013. "Systemic risk measurement: Multivariate GARCH estimation of CoVaR," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3169-3180.
    20. Dornbusch, Rudiger & Fischer, Stanley, 1980. "Exchange Rates and the Current Account," American Economic Review, American Economic Association, vol. 70(5), pages 960-971, December.
    21. Bhatti, M. Ishaq & Nguyen, Cuong C., 2012. "Diversification evidence from international equity markets using extreme values and stochastic copulas," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 622-646.
    22. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    23. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    24. Adler, Michael & Dumas, Bernard, 1983. "International Portfolio Choice and Corporation Finance: A Synthesis," Journal of Finance, American Finance Association, vol. 38(3), pages 925-984, June.
    25. Athanasios Koulakiotis & Apostolis Kiohos & Vassilios Babalos, 2015. "Exploring the interaction between stock price index and exchange rates: an asymmetric threshold approach," Applied Economics, Taylor & Francis Journals, vol. 47(13), pages 1273-1285, March.
    26. Cho, Jin-Wan & Choi, Joung Hwa & Kim, Taeyong & Kim, Woojin, 2016. "Flight-to-quality and correlation between currency and stock returns," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 191-212.
    27. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
    28. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Ugolini, Andrea, 2016. "Downside and upside risk spillovers between exchange rates and stock prices," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 76-96.
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    6. Ismail Olaleke Fasanya Oluwatomisin Oyewole Taofeek Agbatogun, 2019. "Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(2), pages 71-94, November.
    7. Boako, Gideon & Tiwari, Aviral Kumar & Ibrahim, Muazu & Ji, Qiang, 2019. "Analysing dynamic dependence between gold and stock returns: Evidence using stochastic and full-range tail dependence copula models," Finance Research Letters, Elsevier, vol. 31(C).
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    More about this item

    Keywords

    CoVaR; Currency; Stock markets; Copulas; Downside spillovers; Causality;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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