SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A random walk through the trees: Forecasting copper prices using decision learning methods · Study

ArticleShelves

ArticleA random walk through the trees: Forecasting copper prices using decision learning methods

Juan D. Díaz2020

OA

Articlegreen2020

A random walk through the trees: Forecasting copper prices using decision learning methods

Juan D. Díaz · Erwin Hansen · Gabriel Cabrera

39 citations·0/0 files stored·Resources Policy

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Forecasting Techniques and Applications Market Dynamics and Volatility Stock Market Forecasting Methods

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 39 citations exist upstream.

References

2007Metal volatility in presence of oil and interest rate shocks 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network 2013An improved wavelet–ARIMA approach for forecasting metal prices 2017Structural breaks and volatility forecasting in the copper futures market 2015Forecasting the COMEX copper spot price by means of neural networks and ARIMA models 2017Forecasting copper prices by decision tree learning 2017Copper price estimation using bat algorithm 2014On the relationship between the prices of oil and the precious metals: Revisiting with a multivariate regime-switching decision tree

Cited by

2022A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2019Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniquesarticle · 9 shared references 2021Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transformarticle · 7 shared references 2021Forecasting copper price by application of robust artificial intelligence techniquesarticle · 7 shared references 2021Forecasting monthly copper price: A comparative study of various machine learning-based methodsarticle · 6 shared references 2022Fuzzy Rule-Based Prediction of Gold Prices using News Affectarticle · 6 shared references 2021Development of copper price from July 1959 and predicted development till the end of year 2022article · 6 shared references

Details

Year2020

Typearticle

Published2020-09-22

VenueResources Policy

ISSN-L0301-4207

Languageen

Citations39

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.resourpol.2020.101859

openalex_workW3088199568

Links

Imported from OpenAlex (CC0) — nothing here is generated.