Year: 2025
Type: article
Abstract: This was designed to study and compare the performance of the autoregressive (AR), Moving average (MA) and Autoregressive moving average (ARMA) models in forecasting the Nigeria Stocks Price Index (NSPI). The data used for this study are secondarily sourced from ‘All share index’ of the Nigeria stock exchange rate between 2009 and 2024. A test for stationarity of the original data was carried out using the augmented Dickey-fuller (ADF) test and the test showed the non-stationarity of the observed data, hence a test for stationarity for differenced data set was carried out to achieved stationarity. The results from the analysis showed that the ARMA (1,0,1) model outperforms the AR (1) and MA (1) models with a lower Akaike information criterion (AIC), Mean square error (MSE), Mean absolute error (MAE) and Root mean Square Error (RMSE). The study therefore recommends that investors and financial institutions use the ARMA (1, 0, 1) model to forecast the Nigeria Stock price index for precision of results.
Institution: Delta State Polytechnic Otefe-Oghara
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411764455