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External macroeconomic shocks and stock price behavior in Nigeria

Author

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  • Mojeed Olanrewaju Saliu

    (Ekiti State University. Ado-Ekiti)

Abstract

This research work investigates the relationship between external macroeconomic shocks and stock price behavior in Nigeria. Variables such as exchange rate (EXR), US real interest rate (USRINTR), and world oil price (WOP) are adopted to capture external macroeconomic shocks while all share price index is used to proxy stock price. The research work uses Johansen cointegration and structural vector autoregressive model as the estimation method. Findings from the study confirm that no long-term co-movement exists between the stock price and the selected external shocks. Findings from the study equally show that both US real interest rate (USRINTR) and world oil price (WOP) are the major external shock predictors of the stock price in Nigeria. Key Words:External Macroeconomic Shocks, Stock Price, Exchange Rate, US Real Interest Rate, World Oil Price.

Suggested Citation

  • Mojeed Olanrewaju Saliu, 2021. "External macroeconomic shocks and stock price behavior in Nigeria," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(6), pages 174-180, September.
    • Handle: RePEc:rbs:ijbrss:v:10:y:2021:i:6:p:174-180
    DOI: 10.20525/ijrbs.v10i6.1333
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    References listed on IDEAS

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    1. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    2. Pirovano, Mara, 2012. "Monetary policy and stock prices in small open economies: Empirical evidence for the new EU member states," Economic Systems, Elsevier, vol. 36(3), pages 372-390.
    3. Ejem, Chukwu Agwu & Ogbonna, Udochukwu Godfrey, 2020. "Response of Deposit Money Banks to Monetary Policy Dynamics in Nigeria," Applied Economics and Finance, Redfame publishing, vol. 7(4), pages 33-47, July.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Li, Yun Daisy & Iscan, Talan B. & Xu, Kuan, 2010. "The impact of monetary policy shocks on stock prices: Evidence from Canada and the United States," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 876-896, September.
    6. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    7. Mala Raghavan & Paramsothy Silvapulle & George Athanasopoulos, 2012. "Structural VAR models for Malaysian monetary policy analysis during the pre- and post-1997 Asian crisis periods," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3841-3856, October.
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