Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons
The fluctuations of agricultural commodity prices have a great impact on people's daily lives as well as the inputs and outputs of agricultural production. An accurate forecast of commodity prices is therefore essential if agricultural authorities are to make scientific decisions. To forecast p...
Main Authors: | Dabin Zhang, Shanying Chen, Ling Liwen, Qiang Xia |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8981960/ |
Similar Items
-
Forecasting Agricultural Commodity Prices with Asymmetric-Error GARCH Models
by: Octavio A. Ramirez, et al.
Published: (2003-04-01) -
Forecasting Commodity Prices: Looking for a Benchmark
by: Marek Kwas, et al.
Published: (2021-06-01) -
A Flexible Combination Forecast Method for Modeling Agricultural Commodity Prices: A Case Study Iran’s Livestock and Poultry Meat Market
by: R. Heydari
Published: (2023-08-01) -
Application of The ARIMA Model to Forecast the Price of the Commodity Corn
by: Carlos Gonçalves Cas
Published: (2018-03-01) -
THE ANALYSIS OF THE COMMODITY PRICE FORECASTING SUCCESS CONSIDERING DIFFERENT LENGTHS OF THE INITIAL CONDITION DRIFT
by: Marcela Lascsáková
Published: (2015-09-01)