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Application of Error Correction Model in Assessing the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria

Received: 26 February 2020    Accepted: 18 March 2020    Published: 14 May 2021
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Abstract

The objective of this paper is to investigate the relationships between some selected macroeconomic variables and stock market returns in Nigeria. Time series data on macroeconomic variables were collected from Central Bank of Nigeria (CBN) annual statistical bulletin 2018 covering between years 1981 to 2018. The error correction model (ECM) was used to show the strength of relationship between the macroeconomic variables and stock market performance. The result of the coefficients of macroeconomic variables are negative and positive values and also significant and insignificant. Hence, there is disequilibrium in the long run and must be corrected. The coefficient of parameters estimates for short run for return and gross domestic product at lag 1 are positive while values of crude oil prices, interest rate and inflation rate at lag 1 are negative. Hence, there is short run dynamic changes in crude oil prices, interest rate and inflation rate could lead to negative changes in stock market performance. The ECM coefficient is -0.80 suggesting that any disequilibrium can be corrected at the speed or rate of 80 percent within a year. In view of this, there is long run dynamic influence running from macroeconomic variables to stock market performance in Nigeria.

Published in International Journal of Data Science and Analysis (Volume 7, Issue 3)
DOI 10.11648/j.ijdsa.20210703.13
Page(s) 69-75
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Crude Oil Prices, Inflation Rate, Interest Rate, Gross Domestic Product (GDP), Stock Market Return, Error Correction Model (ECM), Nigeria

References
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[2] Adeleke, A. I. & A. O. Gbadebo (2012). Macroeconomic policy and returns on equities: Empirical Evidence from Nigerian Capital Market. International Research Journal of Finance and Economics, 83, 1450–2887.
[3] Anyaduba J. O., &Idolor, E. J. (2015). Foreign Capital Flows, Financial Openness and Stock Market Volatility. Indian Journal of Economics, 96 (381), 197–238.
[4] Asaolu, T. O. & Ogunmuyiwa, M. S. (2010). An econometric analysis of the impact of macroeconomics variables on stock market movement in Nigeria, Asian Journal of Business Management, 3 (1), 72-78.
[5] Campbell, J. Y., &Yogo, M. (2006). Efficient Tests of Stock Return Predictability. Journal of Financial Economics, 81 (1), 21–60.
[6] Dickey, D. A., and Fuller, W. A., (1979) “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”. Journal of the American Statistical Association, Vol. 74, 427-431.
[7] Emmanuel, E. D. & Samuel, O. A. (2009). An Impact Analysis of Real Gross Domestic Product Inflation and Interest Rates on Stock Prices of Quoted Companies in Nigeria. International Research Journal of Finance and Economics, 25.
[8] Engle, R. F. & Granger, C. W. J. (1987). Cointegration and error correction representation, estimation and testing Econometrica, 55 (1), 231-276.
[9] Hsing, Y. (2011). The stock market and macroeconomic variables in a BRICS countries and policy implications. International Journal of Economics and Financial Issues, 1 (1), 12-18.
[10] Izedonmi, P. F. & I. B. Abdullahi (2011). The effects of macroeconomic factors on the Nigerian stock returns: A sectoral approach, Global Journal of Management and Business Research, 11 (7).
[11] Jansen, M., & Moreira, M. J. (2004). Optimal Inference in Regression Models with Nearly Integrated Regressors, Working Paper, Harvard University.
[12] Johansen, S. (1988) ‘Statistical Analysis of Cointegration Vectors’, Journal of Economic Dynamics and Control, Vol. 12, pp 231-254.
[13] Johansen, S., and K. Juselius, (1990) ‘Maximum Likelihood Estimation and Inference on Cointegration – With Applications to the demand for money’, Oxford Bulletin of Economics and Statistics, Vol. 52, pp 169-210.
[14] Lanne, M. (2002). Testing the Predictability of Stock Returns. Review of Economics and Statistics, 84 (3), 407 415.
[15] Ologunde, A. Elumide, D., & Asaolu, T., (2006). Stock market capitalization and interest rate in Nigeria: A time series analysis. International Research Journal of Finance and Economics.
[16] Ratanapakorn, O. & Sharma, S. C. (2007). Dynamics analysis between the US stock return and the macroeconomics variables, Applied Financial Economics, 17 (4), 369-377.
[17] Rault, C., & Arouri, M. E. H. (2009). Oil prices and stock markets: what drives what in the gulf corporation council countries? William Davidson Institute Working Paper No. 960. Available at SSRN: http://ssrn.com/abstract=1488936. Retrieved January 25, 2014.
[18] Sharma, G. D., & Mahendru, M. (2010). Impact of macroeconomic variables on stock prices in India. Global Journal of Management and Business Research, 10 (7), 19-26.
Cite This Article
  • APA Style

    Fatoki Olayode, Adeleye Najeem Friday, Afolabi Nosimot Omowunmi. (2021). Application of Error Correction Model in Assessing the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria. International Journal of Data Science and Analysis, 7(3), 69-75. https://doi.org/10.11648/j.ijdsa.20210703.13

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    ACS Style

    Fatoki Olayode; Adeleye Najeem Friday; Afolabi Nosimot Omowunmi. Application of Error Correction Model in Assessing the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria. Int. J. Data Sci. Anal. 2021, 7(3), 69-75. doi: 10.11648/j.ijdsa.20210703.13

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    AMA Style

    Fatoki Olayode, Adeleye Najeem Friday, Afolabi Nosimot Omowunmi. Application of Error Correction Model in Assessing the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria. Int J Data Sci Anal. 2021;7(3):69-75. doi: 10.11648/j.ijdsa.20210703.13

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  • @article{10.11648/j.ijdsa.20210703.13,
      author = {Fatoki Olayode and Adeleye Najeem Friday and Afolabi Nosimot Omowunmi},
      title = {Application of Error Correction Model in Assessing the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria},
      journal = {International Journal of Data Science and Analysis},
      volume = {7},
      number = {3},
      pages = {69-75},
      doi = {10.11648/j.ijdsa.20210703.13},
      url = {https://doi.org/10.11648/j.ijdsa.20210703.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20210703.13},
      abstract = {The objective of this paper is to investigate the relationships between some selected macroeconomic variables and stock market returns in Nigeria. Time series data on macroeconomic variables were collected from Central Bank of Nigeria (CBN) annual statistical bulletin 2018 covering between years 1981 to 2018. The error correction model (ECM) was used to show the strength of relationship between the macroeconomic variables and stock market performance. The result of the coefficients of macroeconomic variables are negative and positive values and also significant and insignificant. Hence, there is disequilibrium in the long run and must be corrected. The coefficient of parameters estimates for short run for return and gross domestic product at lag 1 are positive while values of crude oil prices, interest rate and inflation rate at lag 1 are negative. Hence, there is short run dynamic changes in crude oil prices, interest rate and inflation rate could lead to negative changes in stock market performance. The ECM coefficient is -0.80 suggesting that any disequilibrium can be corrected at the speed or rate of 80 percent within a year. In view of this, there is long run dynamic influence running from macroeconomic variables to stock market performance in Nigeria.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Application of Error Correction Model in Assessing the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria
    AU  - Fatoki Olayode
    AU  - Adeleye Najeem Friday
    AU  - Afolabi Nosimot Omowunmi
    Y1  - 2021/05/14
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijdsa.20210703.13
    DO  - 10.11648/j.ijdsa.20210703.13
    T2  - International Journal of Data Science and Analysis
    JF  - International Journal of Data Science and Analysis
    JO  - International Journal of Data Science and Analysis
    SP  - 69
    EP  - 75
    PB  - Science Publishing Group
    SN  - 2575-1891
    UR  - https://doi.org/10.11648/j.ijdsa.20210703.13
    AB  - The objective of this paper is to investigate the relationships between some selected macroeconomic variables and stock market returns in Nigeria. Time series data on macroeconomic variables were collected from Central Bank of Nigeria (CBN) annual statistical bulletin 2018 covering between years 1981 to 2018. The error correction model (ECM) was used to show the strength of relationship between the macroeconomic variables and stock market performance. The result of the coefficients of macroeconomic variables are negative and positive values and also significant and insignificant. Hence, there is disequilibrium in the long run and must be corrected. The coefficient of parameters estimates for short run for return and gross domestic product at lag 1 are positive while values of crude oil prices, interest rate and inflation rate at lag 1 are negative. Hence, there is short run dynamic changes in crude oil prices, interest rate and inflation rate could lead to negative changes in stock market performance. The ECM coefficient is -0.80 suggesting that any disequilibrium can be corrected at the speed or rate of 80 percent within a year. In view of this, there is long run dynamic influence running from macroeconomic variables to stock market performance in Nigeria.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • Department of Statistics, School of Pure and Applied Science, Ogun State Institute of Technology, Igbesa, Ogun State, Nigeria

  • Department of Statistics, School of Pure and Applied Science, Ogun State Institute of Technology, Igbesa, Ogun State, Nigeria

  • Department of Statistics, School of Pure and Applied Science, Ogun State Institute of Technology, Igbesa, Ogun State, Nigeria

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