Tracing Stock Returns on Quarterly Basis: The Case of KSE-100 Index
The stock market index can be forecasted in two ways --- either through taking those external factors that influence movements in the index or by basing ones predictions on the previous values of the index. The current study has used the method described later by employing the Box-Jenkins methodology --- a method famously used by most researchers while conducting ARIMA modeling--- by taking past figures of KSE 100 Index. Quarterly figures of the Index were, therefore, taken for 22 years from August 1995 to October 2017 that translated into 90 observations. Results revealed that the forecasting model used in the study did well in anticipating returns in the shortrun. The findings of the study can be consumed by investors, particularly short-term, in deciding when, and when not, to risk their hard-earned funds at Pakistan Stock Exchange.
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ARIMA, BoxJenkins Methodology, PSX 100 Index, Prediction, Stationarity
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(1) Mustafa Afeef
Assistant Professor, Department of Management Sciences,Islamia College Peshawar, KP, Pakistan.
(2) Nazim Ali
Assistant Professor, Department of Management Studies, University of Malakand, KP, Pakistan.
(3) Adnan Khan
Lecturer, Department of Management Studies,University of Malakand, KP, Pakistan.