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Stock Price and Industrial Production in Developing Countries: A Dynamic Heterogeneous Panel Analysis

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  • Masih, Mansur
  • Majid, Hamdan Abdul

Abstract

As an investor, we are interested in the relationship between economic and financial indicators. For this, for the investor, it is of utmost importance to identify the correct model for the long run and short run relationship, as this will determine the timing of entering and exiting the stock market. In this paper we investigate the correlation between the real stock price and the real industrial production index. The estimation of correlation coefficient would involve the panel data of nine (9) developing countries, including the four (4) BRIC countries, using data for the period 2008 to 2010. We employed the panel unit root test and panel cointegration tests using Eviews. We then proceed with the estimation of Fixed Effect (FE), Random Effect (RE), Pool Mean Group (PMG) and the Mean Group (MG) using Stata II command. The application of the heterogeneous panel model of Pool Mean Group (PMG) and the Mean Group (MG) – Im,Pesaran,Smith (IPS,1999) will allow for the heterogeneity effect among the different economies. Our findings proved that RE is superior to FE due to the inconsistency problem, which is the existence of correlation between missing cross sectional variables with the explanatory/regressor variables. The Hausman test performed supported this finding. We observed that the slope coefficients indicate a negative relationship between real industrial production and real stock price. Again, although both PMG and MG are consistent, Hausman test proved that MG is inefficient, and thus PMG is chosen for the final estimation. Finally, while we found out that in the short run the coefficient of industrial production varies with each country, they were the same in the long run.

Suggested Citation

  • Masih, Mansur & Majid, Hamdan Abdul, 2013. "Stock Price and Industrial Production in Developing Countries: A Dynamic Heterogeneous Panel Analysis," MPRA Paper 58308, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58308
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    References listed on IDEAS

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    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Laura Barbieri, 2008. "Panel Cointegration Tests: A Survey," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(1), pages 3-36.
    3. Lee, Chien-Chiang, 2005. "Energy consumption and GDP in developing countries: A cointegrated panel analysis," Energy Economics, Elsevier, vol. 27(3), pages 415-427, May.
    4. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers 2000-02, Department of Economics, Williams College.
    5. Chien-Chiang Lee & Chun-Ping Chang, 2009. "FDI, financial development, and economic growth: International evidence," Journal of Applied Economics, Universidad del CEMA, vol. 12, pages 249-271, November.
    6. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
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    Cited by:

    1. Courage Mlambo, 2021. "The Impact of Port Performance on Trade: The Case of Selected African States," Economies, MDPI, vol. 9(4), pages 1-18, September.

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    More about this item

    Keywords

    Stock price; industrial production; panel unit root test; panel co-integration test; long run model estimation; random effect; pool mean group;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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