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Does inflation has an Impact on Stock Returns and Volatility? Evidence from Nigeria and Ghana

Author

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  • Shehu Usman Rano, Aliyu
Abstract
This study seeks to apply the generalized autoregressive conditional heteroskedasticity (GARCH) model to assess the impact of inflation on stock market returns and volatility using monthly time series data from two West African countries, that is, Nigeria and Ghana. In addition, the impact of asymmetric shocks was investigated using the quadratic GARCH model developed by Sentana (1995), in both countries. Results for Nigeria show weak support for the hypothesis which states that bad news exert more adverse effect on stock market volatility than good news of the same magnitude; while a strong opposite case holds for Ghana. Furthermore, inflation rate and its three month average were found to have significant effect on stock market volatility in the two countries. Measures employed towards restraining inflation in the two countries, therefore, would certainly reduce stock market volatility, improve stock market returns and boost investor confidence.

Suggested Citation

  • Shehu Usman Rano, Aliyu, 2010. "Does inflation has an Impact on Stock Returns and Volatility? Evidence from Nigeria and Ghana," MPRA Paper 30091, University Library of Munich, Germany, revised 19 Mar 2011.
  • Handle: RePEc:pra:mprapa:30091
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    References listed on IDEAS

    as
    1. Rigobon, Roberto & Sack, Brian, 2004. "The impact of monetary policy on asset prices," Journal of Monetary Economics, Elsevier, vol. 51(8), pages 1553-1575, November.
    2. repec:bla:jfinan:v:44:y:1989:i:5:p:1115-53 is not listed on IDEAS
    3. 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.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Alexandros Kontonikas & Alberto Montagnoli & Nicola Spagnolo, 2006. "Stock Returns and Inflation: The Impact of Inflation Targeting," Working Papers 2005_11, Business School - Economics, University of Glasgow.
    6. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
    7. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    8. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    9. Kaul, Gautam, 1987. "Stock returns and inflation : The role of the monetary sector," Journal of Financial Economics, Elsevier, vol. 18(2), pages 253-276, June.
    10. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
    11. Enrique Sentana, 1995. "Quadratic ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 639-661.
    12. Robert F. Engle & Jose Gonzalo Rangel, 2005. "The Spline GARCH Model for Unconditional Volatility and its Global Macroeconomic Causes," Working Papers 2005/13, Czech National Bank.
    13. Nicole Davis & Ali Kutan, 2003. "Inflation and output as predictors of stock returns and volatility: international evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 13(9), pages 693-700.
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    Cited by:

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    3. Perekunah B. Eregha & Festus O. Egwaikhide & Emeka Osuji, 2020. "Modeling Exchange Rate Volatility in Selected WAMZ Countries: Evidence from Symmetric and Asymmetric GARCH Models," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(1-2), pages 58-80, January-J.
    4. Amar Singh & Arvind Mohan, 2020. "An Empirical Model of Indian Foreign Investment and Stock Market Volatility: Evidence From ARDL Bounds Testing Analysis," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(2), pages 154-162, April.
    5. Aliyu, Shehu Usman Rano, 2011. "Reactions of stock market to monetary policy shocks during the global financial crisis: the Nigerian case," MPRA Paper 35581, University Library of Munich, Germany, revised 28 Dec 2011.
    6. Md Sharif Hossain, & Md.Thasinul Abedin, 2017. "Socio-economy and stock market volatility," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 5(4), pages 1-11, August.
    7. Abdul RASHID & Aamir JAVED & Zainab JEHAN & Uzma IQBAL, 2022. "Time-Varying Impacts of Macroeconomic Variables on Stock Market Returns and Volatility : Evidence from Pakistan," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 144-166, October.
    8. Tosin B. Fateye & Oluwaseun D. Ajay & Cyril A. Ajay, 2021. "Modelling of Daily Price Volatility of South Africa Property Stock Market Using GARCH Analysis," AfRES 2021-013, African Real Estate Society (AfRES).
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    10. Sánchez García, Javier & Cruz Rambaud, Salvador, 2023. "Inflation and systemic risk: A network econometric model," Finance Research Letters, Elsevier, vol. 56(C).
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    More about this item

    Keywords

    Stock Returns; Volatility; inflation;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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