American Journal of Business and Operations Research
AJBOR
2692-2967
2770-0216
10.54216/AJBOR
https://www.americaspg.com/journals/show/4128
2018
2018
Predictability of Stock Price Fluctuations with an Application of Agricultural Companies Data
Department of Economics, College of Administration and Economics, University of Anbar, Iraq
Ahmad
Ahmad
Department of Economics, College of Administration and Economics, University of Anbar, Iraq
Abdulrazaq
Shabeeb
Department of Finance and Banking Sciences, College of Financial and Administrative Sciences, University of Al Maarif, Iraq
Bha Aldan Abdulsattar
Faraj
Department of Economics, College of Administration and Economics, University of Anbar, Iraq
Wisam Al
Al-Anezi
Department of Finance and Banking, Al-Idrisi University College, Iraq
Faisal Ghazi
Faisal
The research aimed to predict the fluctuations in closing Stock Price of four agricultural companies listed on the Iraq Stock Exchange using daily closing Stock Price data from 1132015 to 1532025. The symmetric and asymmetric ARCH model was applied to the research data. The results of the GARCH models showed that the closing price behavior of the companies (Al-Ahliyah for Agricultural Production, Middle East for Fish, Iraqi for Meat Production and Marketing) achieved a GARCH (1,1) rank, indicating that the effect of past error variance (ARCH) was of rank 1, in addition to the conditional variance element GARCH also being of rank 1. Meanwhile, the results showed that the closing prices for the Iraqi Seed Production Company were of rank GARCH (1,2). The results indicated that the first-order variance parameter was greater than one for all agricultural companies, suggesting that the fluctuations in stock closing prices exhibit a slight upward trend, which aligns with the logic of financial behavior in financial markets.
2025
2025
65
75
10.54216/AJBOR.130104
https://www.americaspg.com/articleinfo/1/show/4128