Forecasting natural rubber prices using commodity market indicators : a machine learning approach
Precious Nyondo and Roshna Varghese
| Year of publication: |
2024
|
|---|---|
| Authors: | Nyondo, Precious ; Varghese, Roshna |
| Published in: |
International journal of revenue management : IJRM. - Olney, Bucks : Inderscience Enterprises, ISSN 1741-8186, ZDB-ID 2260557-5. - Vol. 14.2024, 3, p. 221-252
|
| Subject: | ANN | ARIMAX | artificial neural networks | commodity market indicators | decision tree | k-nearest neighbours | KNN | machine learning | natural rubber | price forecasting | random forest | support vector machine | SVM | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Prognose | Forecast | Rohstoffmarkt | Commodity market | Kautschukmarkt | Rubber market | Kautschuk | Rubber | Entscheidungsbaum | Decision tree |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJRM.2024.142325 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015325942