Forecasting Natural Gas Futures Prices Using Hybrid Machine Learning Models During Turbulent Market Conditions: The Case of the Russian–Ukraine Crisis
Fuente:
Wiley Open Access
Enregistré dans:
| Auteurs principaux: | Pavan Kumar Nagula, Christos Alexakis |
|---|---|
| Format: | Artículo Open Access |
| Publié: |
Wiley
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
On Capturing Multi‐Scale Market Dynamics for High‐Frequency Stock Price Forecasting Using a Hybrid Attention‐Based Deep Learning Model
par: Runze Jiang, et autres
Publié: (2026)
par: Runze Jiang, et autres
Publié: (2026)
Forecasting and Pricing in the Carbon Credits Market
par: Yiyang Chen, et autres
Publié: (2026)
par: Yiyang Chen, et autres
Publié: (2026)
Forecasting House Prices: The Role of Market Interconnectedness
par: Zac Chen, et autres
Publié: (2026)
par: Zac Chen, et autres
Publié: (2026)
Forecasting European Union Electronic Trading Systems Phase 4 Spot Prices Using Data‐Driven Hybrid Deep Learning Models: Integrating Energy and Market Activity as Controls
par: Noman Arshed, et autres
Publié: (2026)
par: Noman Arshed, et autres
Publié: (2026)
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
par: Talha Omer, et autres
Publié: (2026)
par: Talha Omer, et autres
Publié: (2026)
Forecasting the Volatility of US Oil and Gas Firms With Machine Learning
par: Juan D. Díaz, et autres
Publié: (2024)
par: Juan D. Díaz, et autres
Publié: (2024)
Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques
par: Soňa Benecká
Publié: (2026)
par: Soňa Benecká
Publié: (2026)
Correction to “Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM”
Publié: (2026)
Publié: (2026)
Machine Learning Forecasts of Tail‐Risk Spillovers in Carbon and Energy Markets
par: Shengnan Liu, et autres
Publié: (2026)
par: Shengnan Liu, et autres
Publié: (2026)
Using a Wage–Price‐Setting Model to Forecast US Inflation
par: Nguyen Duc Do
Publié: (2024)
par: Nguyen Duc Do
Publié: (2024)
Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion
par: Binrong Wu, et autres
Publié: (2024)
par: Binrong Wu, et autres
Publié: (2024)
Overnight Trading Matters!—Volatility Forecast in the Crude Oil Futures Market
par: Jing Hao, et autres
Publié: (2026)
par: Jing Hao, et autres
Publié: (2026)
Potential Demand Forecasting for Steel Products in Spot Markets Using a Hybrid SARIMA‐LSSVM Approach
par: Junting Huang, et autres
Publié: (2025)
par: Junting Huang, et autres
Publié: (2025)
Using DSGE and Machine Learning to Forecast Public Debt for France
par: Emmanouil Sofianos, et autres
Publié: (2026)
par: Emmanouil Sofianos, et autres
Publié: (2026)
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
par: Saptarshi Ganguly, et autres
Publié: (2026)
par: Saptarshi Ganguly, et autres
Publié: (2026)
The Impact of News Sentiment on the Bitcoin Price via Machine Learning and Deep Learning‐Based NLP Models
par: Yunus Emre Gür, et autres
Publié: (2025)
par: Yunus Emre Gür, et autres
Publié: (2025)
Adaptive Model Integration for Stock Price Forecasting With CNN‐ATTN‐BiLSTM
par: Yi Xiao, et autres
Publié: (2026)
par: Yi Xiao, et autres
Publié: (2026)
Forecasting With Machine Learning Shadow‐Rate VARs
par: Michael Grammatikopoulos
Publié: (2025)
par: Michael Grammatikopoulos
Publié: (2025)
Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price
par: Nezir Köse, et autres
Publié: (2025)
par: Nezir Köse, et autres
Publié: (2025)
Forecasting Chinese Stock Market Volatility With Volatilities in Bond Markets
par: Likun Lei, et autres
Publié: (2024)
par: Likun Lei, et autres
Publié: (2024)
Can Attention Mechanisms Improve Carbon Price Forecasting Accuracy?
par: Ting Yao, et autres
Publié: (2025)
par: Ting Yao, et autres
Publié: (2025)
Stock Price Limit and Its Predictability in the Chinese Stock Market
par: Haohui Liang, et autres
Publié: (2024)
par: Haohui Liang, et autres
Publié: (2024)
Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market
par: Pietro Giorgio Lovaglio, et autres
Publié: (2026)
par: Pietro Giorgio Lovaglio, et autres
Publié: (2026)
A Hybrid Deep Learning Model for Coal Index Forecasting Based on Sentiment Analysis and Decomposition–Reconstruction Methods
par: Yi Xiao, et autres
Publié: (2025)
par: Yi Xiao, et autres
Publié: (2025)
Affinities and Complementarities of Methods and Information Sets in the Estimation of Prices in Real Estate Markets
par: Mirko S. Bozanic‐Leal, et autres
Publié: (2024)
par: Mirko S. Bozanic‐Leal, et autres
Publié: (2024)
Forecasting Corporate Default Risk Across Multiple Horizons With Interpretable Machine Learning
par: Qingli Dong, et autres
Publié: (2026)
par: Qingli Dong, et autres
Publié: (2026)
Parametric Quantile Autoregressive Conditional Duration Models With Application to Intraday Value‐at‐Risk Forecasting
par: Helton Saulo, et autres
Publié: (2024)
par: Helton Saulo, et autres
Publié: (2024)
Support Vector Machine to Forecast Reexamination Invalidation Decisions for Utility Model Patent
par: Mei‐Hsin Wang, et autres
Publié: (2025)
par: Mei‐Hsin Wang, et autres
Publié: (2025)
Forecasting the Realized Volatility of Stock Markets: The Roles of Jumps and Asymmetric Spillovers
par: Abdel Razzaq Al Rababaa, et autres
Publié: (2024)
par: Abdel Razzaq Al Rababaa, et autres
Publié: (2024)
Modelling and Forecasting of Exchange Rate Pairs Using the Kalman Filter
par: Paresh Date, et autres
Publié: (2024)
par: Paresh Date, et autres
Publié: (2024)
A New Multivariate Decomposition–Ensemble Approach With Multisource Heterogeneous Data for Crude Oil Price Forecasting
par: Zhengling Zhao, et autres
Publié: (2026)
par: Zhengling Zhao, et autres
Publié: (2026)
Forecasting Volatility of Australian Stock Market Applying WTC‐DCA‐Informer Framework
par: Hongjun Zeng, et autres
Publié: (2025)
par: Hongjun Zeng, et autres
Publié: (2025)
Forecasting the High‐Frequency Covariance Matrix Using the LSTM‐MF Model
par: Guangying Liu, et autres
Publié: (2025)
par: Guangying Liu, et autres
Publié: (2025)
Mortality Forecasting Using Variational Inference
par: Patrik Andersson, et autres
Publié: (2025)
par: Patrik Andersson, et autres
Publié: (2025)
The Information Content of Overnight Information for Volatility Forecasting: Evidence From China's Stock Market
par: Yi Zhang, et autres
Publié: (2025)
par: Yi Zhang, et autres
Publié: (2025)
Combined Effects of Fat‐Tail and Spread Forecasting on Pairs Trading: A Hybrid Model Based on Integrating VAR With GRU Models
par: Yuhee Kwon, et autres
Publié: (2025)
par: Yuhee Kwon, et autres
Publié: (2025)
HyperVIX: A GWO‐Optimized ARIMA‐LSTM Hybrid Model for CBOE Volatility Index (VIX) Forecasting
par: Ran Wu, et autres
Publié: (2025)
par: Ran Wu, et autres
Publié: (2025)
Medium‐ to Long‐Term Demand Forecasting in Retail and Manufacturing Organizations: Integration of Machine Learning, Human Judgment, and Interval Variable
par: Sushil Punia
Publié: (2025)
par: Sushil Punia
Publié: (2025)
Climate Change Risk and Financial Market Response: An International Evidence From Performance Forecasts by Financial Analysts
par: Cyrine Khiari, et autres
Publié: (2025)
par: Cyrine Khiari, et autres
Publié: (2025)
Regime‐Switching Density Forecasts Using Economists' Scenarios
par: Graziano Moramarco
Publié: (2024)
par: Graziano Moramarco
Publié: (2024)
Documents similaires
-
On Capturing Multi‐Scale Market Dynamics for High‐Frequency Stock Price Forecasting Using a Hybrid Attention‐Based Deep Learning Model
par: Runze Jiang, et autres
Publié: (2026) -
Forecasting and Pricing in the Carbon Credits Market
par: Yiyang Chen, et autres
Publié: (2026) -
Forecasting House Prices: The Role of Market Interconnectedness
par: Zac Chen, et autres
Publié: (2026) -
Forecasting European Union Electronic Trading Systems Phase 4 Spot Prices Using Data‐Driven Hybrid Deep Learning Models: Integrating Energy and Market Activity as Controls
par: Noman Arshed, et autres
Publié: (2026) -
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
par: Talha Omer, et autres
Publié: (2026)