Machine Learning-Based Scrap Steel Price Forecasting for the Northeast Chinese Market
Throughout history, governments and investors have relied on predictions of prices for a broad spectrum of commodities. Using time-series data covering 08/23/2013–04/15/2021, this study investigates the challenging problem of predicting scrap steel prices, which are issued daily for the northeast Ch...
Saved in:
Main Authors: | Bingzi Jin, Xiaojie Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
World Scientific Publishing
2024-12-01
|
Series: | International Journal of Empirical Economics |
Subjects: | |
Online Access: | https://www.worldscientific.com/doi/10.1142/S2810943024500112 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent model for forecasting fluctuations in the gold price
by: Mahdieh Tavassoli, et al.
Published: (2024-09-01) -
Housing Price Forecasting Using AI (LSTM)
by: Hossein Ziyadi, et al.
Published: (2023-12-01) -
ENVIRONMENTAL ASPECTS OF THE USE OF SCRAP IN STEEL PRODUCTION
by: S. V. Korneev, et al.
Published: (2016-01-01) -
A Vegetable-Price Forecasting Method Based on Mixture of Experts
by: Chenyun Zhao, et al.
Published: (2025-01-01) -
EXPERIENCE OF APPLICATION OF STEEL 1.2746, ENIS04957 IN CUTTING KNIVES FOR CHOPPING OF THE SCRAP METAL
by: A. I. Rozhkov, et al.
Published: (2015-11-01)