Evaluation of Stochastic and ANN Model for Karachi Stock Exchange Prices Prediction
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Creator Azhar Ali Marri, and Mir Ghulam Hyder Talpur
Title Evaluation of Stochastic and ANN Model for Karachi Stock Exchange Prices Prediction
Contributor -
Publisher TuEngr Group
Publication Year 2565
Journal Title International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Journal Vol. 13
Journal No. 2
Page no. 13A2B: 1-11
Keyword ARIMA, ANN, Comparison, KSE 100 Index, R software, Financial Market, Stock Trading, Stock short-term prediction, Box Jenkins ARIMA.
URL Website http://TuEngr.com/Vol13-2.html
Website title ITJEMAST V13(2) 2022 @ TuEngr.com
ISSN 2228-9860
Abstract This study employs the linear and non-linear time series models (ARIMA) and (ANN) for Karachi stock exchange prices prediction. Further that the comparison between two-time series models was examined in this study. The results indicated that the capability of the ARIMA model is appropriate for short-term prediction and the ANN model is applicable for forecasting the future price towards value prediction. This study results demonstrated that the pattern of the ARIMA model was directional towards stock market prices prediction and the ANN model was towards value prediction.
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