Abstract

In this study the determinants of Stock prices were modelled using a regression model with ARIMA errors. The results showed that a regression model with AR (1) errors was best for modelling the Stock prices. A diagnostic test of the model with the ARCH-LM test showed that the model was free from conditional heteroscedasticity. Also, the Breusch-Godfrey test and the Ljung-Box test showed that the model was free from serial correlation. In addition, the CUSUM test showed that the model parameters were stable. Finally, the results showed that the Gold price and the 91 day Treasury bill do not contribute significantly to the variation in the Stock prices. The Cocoa price and the Consumer Price Index were positively related to the Stock price while the Broad Money supply was negatively related to the Stock price.

Keywords:

Ghana, macroeconomic variables, regression with ARIMA errors, stock prices,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.