Time Series Analysis on Monthly Stock Market Returns of the Nigerian Stock Exchange: An Arima Modeling Approach

Main Article Content

Eke, Charles N.


This research work studied the autoregressive integrated moving average (ARIMA) model that best fitted monthly stock market returns of the Nigerian Stock Exchange between January, 2008 to September, 2018. The study collected secondary data from Central Bank of Nigeria (CBN) Statistical Bulletin 2018 on monthly stock market index of NSE to compute the monthly stock market returns. The Box-Jenkins ARIMA modeling was adopted for this work. The series was tested for stationarity using Augmented Dickey Fuller test. Several ARIMA (p, d, q) models were applied to the monthly stock market returns to ascertain the best fit model for the series. The ARIMA (2, 0, 3) model was selected as the best fit for the data since it has minimum values of Akaike Information Criteria and Mean Squared Errors. The forecasted period showed a market with an unstable monthly stock market returns. Therefore, investors were advised to weigh the risks before venturing into the market to invest.

Stock market, ARIMA, model adequacy, forecast.

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How to Cite
N., E. (2019). Time Series Analysis on Monthly Stock Market Returns of the Nigerian Stock Exchange: An Arima Modeling Approach. Asian Journal of Economics, Business and Accounting, 11(4), 1-9. https://doi.org/10.9734/ajeba/2019/v11i430138
Original Research Article


Adebiyi Ayodele A, Adewumi Aderemi O, Ayo Charles K. Stock price prediction using the ARIMA model. UKsim-AMSS 16th International Conference on Computer Modelling and Simulation. IEE Computer Society; 2014.

Olayiwola OM, Amalare AA, Adebesim SO. Prediction of returns on all-share INDE of Nigerian stock exchange. The Pacific Journal of Science and Technology. 2016; 17(1).

Ivanovic Zoran, Sinsa Bogdan, Suzana Baresa. Forecasting stock market index: Cobrex. UTMS Journal of Economics. 2013;4(2):79-91.

Azuke CA, Obiora-Ilouno HO, Eze FC, Daniel J. Time series analysis of all-share index of Nigerian stock exchange: A box-Jenkins approach. International Journal of Sciences. 2016;5(6).

Fatai Adewole Adebayo, Ramysamy Sivasamy, Dahud Kehinde Shangodoyin. Forecasting stock market series with ARIMA Model. Journal of Statistical and Econometric Methods, SCIENPRESS Ltd. 2014;3(3):1-3.

Abdullahi AB, Bakari HR. Modelling the Nigerian stock market (Shares) evidence from time series analysis. The International Journal of Engineering and Science (IJES). 2014; 3(4):01-12.

Kalu Onwukwe Emenike. Forecasting Nigerian stock exchange returns: Evidence from autoregressive integrated moving average (ARIMA) model; 2010.
Available:https://ssrn.com/abstract=1633006 or http://dx.doi.org/10.2139/ssrn.1633006

Paul J. Time series models. 3rd Edition. John Wiley and Sons Inc, New York; 2012.

Box GEP, Jenkins GM, Rensell GC. Time series analysis: Forecasting and control. 3rd Edition, Engle Wood Cliffs, NJ: Prentice Hall; 1994

Makridakis S, Wheelwright SC, Hyndman RJ. Forecasting methods and applications. 3rd Edition. John Wiley and Sons, Inc, New York; 1998.