Whether Uncertainty Theory Can Enhance GDP Forecasting From Energy: A New Uncertain MIDAS Model
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Yuxin Shi, Chao Liang, Lu Wang |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Threshold MIDAS Forecasting of Canadian Inflation Rate
by: Chaoyi Chen, et al.
Published: (2025)
by: Chaoyi Chen, et al.
Published: (2025)
Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts
by: Katja Heinisch
Published: (2024)
by: Katja Heinisch
Published: (2024)
Forecasting GDP growth: The economic impact of COVID‐19 pandemic
by: Ioannis D. Vrontos, et al.
Published: (2024)
by: Ioannis D. Vrontos, et al.
Published: (2024)
Revisiting the Volatility Dynamics of REITs Amid Uncertainty and Investor Sentiment: A Predictive Approach in GARCH‐MIDAS
by: Xu Xiangxin, et al.
Published: (2025)
by: Xu Xiangxin, et al.
Published: (2025)
Forecasting Gold Volatility in an Uncertain Environment: The Roles of Large and Small Shock Sizes
by: Li Zhang, et al.
Published: (2025)
by: Li Zhang, et al.
Published: (2025)
Component‐Driven FX Volatility Prediction: Evidence From USDCNH via GARCH‐MIDAS Models Exploiting Leading Indicators
by: Denis Haoheng Wu, et al.
Published: (2025)
by: Denis Haoheng Wu, et al.
Published: (2025)
Sectoral Corporate Profits and Long‐Run Stock Return Volatility in the United States: A GARCH‐MIDAS Approach
by: Afees Salisu, et al.
Published: (2024)
by: Afees Salisu, et al.
Published: (2024)
Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor Versus National Factor in a GARCH‐MIDAS Model
by: Afees A. S alisu, et al.
Published: (2025)
by: Afees A. S alisu, et al.
Published: (2025)
Machine Learning Forecasts of Tail‐Risk Spillovers in Carbon and Energy Markets
by: Shengnan Liu, et al.
Published: (2026)
by: Shengnan Liu, et al.
Published: (2026)
Predictor Preselection for Mixed‐Frequency Dynamic Factor Models: A Simulation Study With an Empirical Application to GDP Nowcasting
by: Domenic Franjic, et al.
Published: (2024)
by: Domenic Franjic, et al.
Published: (2024)
Visualizing Uncertainty in Time Series Forecasts: The Impact of Uncertainty Visualization on Users' Confidence, Algorithmic Advice Utilization, and Forecasting Performance
by: Dirk Leffrang, et al.
Published: (2024)
by: Dirk Leffrang, et al.
Published: (2024)
A New Proposal for Forecasting Inflation in the Eurozone: A Global Model
by: Georgios Angelopoulos, et al.
Published: (2026)
by: Georgios Angelopoulos, et al.
Published: (2026)
Forecasting Realized Volatility With Tree‐Based HAR‐Type Models Incorporating Macroeconomic Uncertainty
by: Wei Liu, et al.
Published: (2026)
by: Wei Liu, et al.
Published: (2026)
Forecasting Equity Premium in the Face of Climate Policy Uncertainty
by: Hyder Ali, et al.
Published: (2024)
by: Hyder Ali, et al.
Published: (2024)
Forecasting Energy Efficiency in Manufacturing: Impact of Technological Progress in Productive Service and Commodity Trades
by: Zixiang Wei, et al.
Published: (2025)
by: Zixiang Wei, et al.
Published: (2025)
GDP Nowcasting With Artificial Neural Networks: How Much Does Long‐Term Memory Matter?
by: Kristóf Németh, et al.
Published: (2025)
by: Kristóf Németh, et al.
Published: (2025)
Can Attention Mechanisms Improve Carbon Price Forecasting Accuracy?
by: Ting Yao, et al.
Published: (2025)
by: Ting Yao, et al.
Published: (2025)
Enhancing Neural Network Volatility Forecasting: Decomposed Volatility Modeling
by: Xuzheng Ren, et al.
Published: (2026)
by: Xuzheng Ren, et al.
Published: (2026)
Forecasting the High‐Frequency Covariance Matrix Using the LSTM‐MF Model
by: Guangying Liu, et al.
Published: (2025)
by: Guangying Liu, et al.
Published: (2025)
Forecasting House Prices: The Role of Market Interconnectedness
by: Zac Chen, et al.
Published: (2026)
by: Zac Chen, et al.
Published: (2026)
Forecasting COVID‐19 Transmission: Insights From the Logistic Smooth Transition Model
by: Yeliz Uymaz, et al.
Published: (2026)
by: Yeliz Uymaz, et al.
Published: (2026)
Demand Forecasting New Fashion Products: A Review Paper
by: Anitha S., et al.
Published: (2024)
by: Anitha S., et al.
Published: (2024)
Optimized Internet of Things‐Based Intelligent Energy Management System for Enhanced Renewable Generation through Advanced Forecasting and Load Strategies
by: X. Mercilin Raajini, et al.
Published: (2026)
by: X. Mercilin Raajini, et al.
Published: (2026)
A Universal Multivariate Long‐Term Time‐Series Robust Forecasting Model With Distinguishable Variable Identifier
by: Xin‐ji Chen, et al.
Published: (2026)
by: Xin‐ji Chen, et al.
Published: (2026)
Macroeconomic and Financial Forecasting in the Aftermath of the Covid Shock: Inflation Forecasting With Large Language Models
by: Nikolaos Giannellis, et al.
Published: (2026)
by: Nikolaos Giannellis, et al.
Published: (2026)
A Comparative Forecasting Framework for Turkey–Germany Trade: Evidence From Time Series and Artificial Neural Networks Models
by: Seyma Nur Unal, et al.
Published: (2025)
by: Seyma Nur Unal, et al.
Published: (2025)
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
by: Adam Clements, et al.
Published: (2026)
by: Adam Clements, et al.
Published: (2026)
Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting
by: Keyan Jin, et al.
Published: (2025)
by: Keyan Jin, et al.
Published: (2025)
Inflation Forecasting Post‐COVID‐19: Evidence From Germany
by: Tiphaine Wibault
Published: (2026)
by: Tiphaine Wibault
Published: (2026)
Forecasting and Modeling Macroeconomic Vulnerabilities in CESEE
by: Florian Huber, et al.
Published: (2025)
by: Florian Huber, et al.
Published: (2025)
Forecasting the Quantile Connectedness: Insight From Global CSR and Sustainability Indices
by: Miklesh Prasad Yadav, et al.
Published: (2026)
by: Miklesh Prasad Yadav, et al.
Published: (2026)
Modeling and Forecasting the CBOE VIX With the TVP‐HAR Model
by: Wen Xu, et al.
Published: (2025)
by: Wen Xu, et al.
Published: (2025)
Enhancing Financial Tail Risk Forecasting: A Blending Ensemble Framework for Nonlinear Expectile Regression
by: Yaolan Ma, et al.
Published: (2026)
by: Yaolan Ma, et al.
Published: (2026)
Support Vector Machine to Forecast Reexamination Invalidation Decisions for Utility Model Patent
by: Mei‐Hsin Wang, et al.
Published: (2025)
by: Mei‐Hsin Wang, et al.
Published: (2025)
A New Multivariate Decomposition–Ensemble Approach With Multisource Heterogeneous Data for Crude Oil Price Forecasting
by: Zhengling Zhao, et al.
Published: (2026)
by: Zhengling Zhao, et al.
Published: (2026)
A Novel Approach to Forecasting After Large Forecast Errors
by: Jennifer L. Castle, et al.
Published: (2025)
by: Jennifer L. Castle, et al.
Published: (2025)
When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns
by: Rehan Arain, et al.
Published: (2025)
by: Rehan Arain, et al.
Published: (2025)
Trade and Economic Activity: Nonlinear Modeling and Forecasting
by: Alessandro Borin, et al.
Published: (2024)
by: Alessandro Borin, et al.
Published: (2024)
Leveraging Structural Insights: Enhancing Inflation Forecasting With Dynamic Stochastic General Equilibrium‐Informed Long Short‐Term Memory Models
by: Langfeng Zhou, et al.
Published: (2026)
by: Langfeng Zhou, et al.
Published: (2026)
The Information Content of Overnight Information for Volatility Forecasting: Evidence From China's Stock Market
by: Yi Zhang, et al.
Published: (2025)
by: Yi Zhang, et al.
Published: (2025)
Similar Items
-
Threshold MIDAS Forecasting of Canadian Inflation Rate
by: Chaoyi Chen, et al.
Published: (2025) -
Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts
by: Katja Heinisch
Published: (2024) -
Forecasting GDP growth: The economic impact of COVID‐19 pandemic
by: Ioannis D. Vrontos, et al.
Published: (2024) -
Revisiting the Volatility Dynamics of REITs Amid Uncertainty and Investor Sentiment: A Predictive Approach in GARCH‐MIDAS
by: Xu Xiangxin, et al.
Published: (2025) -
Forecasting Gold Volatility in an Uncertain Environment: The Roles of Large and Small Shock Sizes
by: Li Zhang, et al.
Published: (2025)