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Modeling The Volatility For Some Selected Beverages Stock Returns In Nigeria (2012-2021): A Garch Model Approach

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  • Samuel Olorunfemi Adams

    (Department of Statistics, University of Abuja, Abuja – Nigeria)

  • Tanimu Mohammed

    (Department of Statistics, University of Abuja, Abuja – Nigeria)

  • Samuel Olorunfemi Adams

    (Department of Statistics, University of Abuja, Abuja – Nigeria)

Abstract

The volatility of equity returns for two beverages traded on the Nigerian stock exchange is the subject of this study. The ARCH effect test demonstrated that the two beverages disprove the claim that there is no ARCH effect. According to the preliminary analysis, both beverages were volatile. CGARCH and EGARCH were chosen as the best volatility models for Guinness Nigeria Plc returns and Nigeria Breweries returns, respectively, based on model selection criteria. The EGARCH model, on the other hand, rejected the idea that Guinness Nigeria Plc’s equity returns respond equally to negative and positive shocks of similar magnitude. This study’s findings suggest that the government should be cautious about how it manages inflation and foreign direct investment because they affect the rising stock price. Financial stability will likely be a more direct and explicit part of the macroeconomic responsibilities of central banks in the coming years.

Suggested Citation

  • Samuel Olorunfemi Adams & Tanimu Mohammed & Samuel Olorunfemi Adams, 2022. "Modeling The Volatility For Some Selected Beverages Stock Returns In Nigeria (2012-2021): A Garch Model Approach," Matrix Science Mathematic (MSMK), Zibeline International Publishing, vol. 6(2), pages 41-51, November.
  • Handle: RePEc:zib:zbmsmk:v:6:y:2022:i:2:p:41-51
    DOI: 10.26480/msmk.02.2022.41.51
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    References listed on IDEAS

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    1. Basher, Syed A. & Sadorsky, Perry, 2006. "Oil price risk and emerging stock markets," Global Finance Journal, Elsevier, vol. 17(2), pages 224-251, December.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    4. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
    5. David, Alexander, 1997. "Fluctuating Confidence in Stock Markets: Implications for Returns and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 427-462, December.
    6. Hammoudeh, Shawkat & Li, Huimin, 2008. "Sudden changes in volatility in emerging markets: The case of Gulf Arab stock markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 47-63.
    7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    8. G. Ogum & F. Beer & G. Nouyrigat, 2005. "Emerging Equity market Volatility: An empirical Investigation of Emergent market: Kenya Nigeria," Post-Print halshs-00103119, HAL.
    Full references (including those not matched with items on IDEAS)

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