Forecasting Prices of Chicken and Egg by Using Artificial Neural Network in Iran
Author(s):
Abstract:
The aim of this study was to choose forecasting model for nominal and real price of beef, sheep meat, Milk, and Wool. Initially the stationary of the series was tested, then in order to investigate whether series are stochastic, nonparametric test of Vald-Wulfowitz was applied. The study period covers 1346-1384. Based on the above tests results, all of the selected nominal and real prices were recognized to be predictable. The models applied to forecast are ARIMA, and Artificial Neural Network (ANN). The findings indicated the relative superiority of ARIMA in comparison with ANN in predicting nominal prices of selected products. However, In the case of real prices ANN showed a comparativesuperiority. It was also found that in the case of nominal series increase in the forecast period lead to increased forecast error.
Keywords:
Forecasting Price , Beef , Sheep Meat , Milk , Wool , ARIMA , Artificial Neural Network
Language:
Persian
Published:
Journal of Economic Research and Policies, Volume:18 Issue: 55, 2010
Page:
87
magiran.com/p826902
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!