:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guangying Liu, Kewen Shi, Meng Yuan
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	Journal of Forecasting
Online Access:	https://onlinelibrary.wiley.com/doi/10.1002/for.70021
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting the high‐frequency volatility based on the LSTM‐HIT model
by: Guangying Liu, et al.
Published: (2024)

Forecasting Beta Using Ultra High Frequency Data
by: Jian Zhou
Published: (2024)

Forecasting of S&P 500 ESG Index by Using CEEMDAN and LSTM Approach
by: Divya Aggarwal, et al.
Published: (2024)

Adaptive Model Integration for Stock Price Forecasting With CNN‐ATTN‐BiLSTM
by: Yi Xiao, et al.
Published: (2026)

Correction to “Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM”
Published: (2026)

On Capturing Multi‐Scale Market Dynamics for High‐Frequency Stock Price Forecasting Using a Hybrid Attention‐Based Deep Learning Model
by: Runze Jiang, et al.
Published: (2026)

Forecasting USD/RMB exchange rate using the ICEEMDAN‐CNN‐LSTM model
by: Yun Zhou, et al.
Published: (2024)

HyperVIX: A GWO‐Optimized ARIMA‐LSTM Hybrid Model for CBOE Volatility Index (VIX) Forecasting
by: Ran Wu, et al.
Published: (2025)

Potential Demand Forecasting for Steel Products in Spot Markets Using a Hybrid SARIMA‐LSSVM Approach
by: Junting Huang, et al.
Published: (2025)

Modelling and Forecasting of Exchange Rate Pairs Using the Kalman Filter
by: Paresh Date, et al.
Published: (2024)

Using a Wage–Price‐Setting Model to Forecast US Inflation
by: Nguyen Duc Do
Published: (2024)

Mortality Forecasting Using Variational Inference
by: Patrik Andersson, et al.
Published: (2025)

Whether Uncertainty Theory Can Enhance GDP Forecasting From Energy: A New Uncertain MIDAS Model
by: Yuxin Shi, et al.
Published: (2025)

Forecasting House Prices: The Role of Market Interconnectedness
by: Zac Chen, et al.
Published: (2026)

Regime‐Switching Density Forecasts Using Economists' Scenarios
by: Graziano Moramarco
Published: (2024)

Stock movement prediction: A multi‐input LSTM approach
by: Pan Tang, et al.
Published: (2024)

Data‐Driven Prediction of Climate Variables in Agricultural Cities of India With Hybrid GA‐TCN‐LSTM Model
by: Anil Utku
Published: (2025)

Using DSGE and Machine Learning to Forecast Public Debt for France
by: Emmanouil Sofianos, et al.
Published: (2026)

Forecasting and Modeling Macroeconomic Vulnerabilities in CESEE
by: Florian Huber, et al.
Published: (2025)

Macroeconomic and Financial Forecasting in the Aftermath of the Covid Shock: Inflation Forecasting With Large Language Models
by: Nikolaos Giannellis, et al.
Published: (2026)

Modeling and Forecasting the CBOE VIX With the TVP‐HAR Model
by: Wen Xu, et al.
Published: (2025)

Forecasting Realized Volatility With Tree‐Based HAR‐Type Models Incorporating Macroeconomic Uncertainty
by: Wei Liu, et al.
Published: (2026)

Trade and Economic Activity: Nonlinear Modeling and Forecasting
by: Alessandro Borin, et al.
Published: (2024)

A Universal Multivariate Long‐Term Time‐Series Robust Forecasting Model With Distinguishable Variable Identifier
by: Xin‐ji Chen, et al.
Published: (2026)

Fiscal Forecasting Rationality Among Expert Forecasters
by: Belen Chocobar, 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)

A Matrix‐Based Hidden Markov Model for Consumer Credit Analysis
by: Borui Qi, et al.
Published: (2026)

Forecasting peak electric load: Robust support vector regression with smooth nonconvex ϵ‐insensitive loss
by: Rujia Nie, et al.
Published: (2024)

Machine Learning Forecasts of Tail‐Risk Spillovers in Carbon and Energy Markets
by: Shengnan Liu, et al.
Published: (2026)

Forecasting Natural Gas Futures Prices Using Hybrid Machine Learning Models During Turbulent Market Conditions: The Case of the Russian–Ukraine Crisis
by: Pavan Kumar Nagula, et al.
Published: (2025)

Enhancing Neural Network Volatility Forecasting: Decomposed Volatility Modeling
by: Xuzheng Ren, et al.
Published: (2026)

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
by: Samuel Rauhala
Published: (2026)

A Novel Approach to Forecasting After Large Forecast Errors
by: Jennifer L. Castle, et al.
Published: (2025)

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market
by: Pietro Giorgio Lovaglio, et al.
Published: (2026)

A New Proposal for Forecasting Inflation in the Eurozone: A Global Model
by: Georgios Angelopoulos, et al.
Published: (2026)

Forecasting in turbulent times
by: Nikolaos Giannellis, et al.
Published: (2024)

A Multiscale Transformer Model for Long Time Series Forecasting Based on Discrete Wavelet Transform and Residual Learning Modules
by: Menghan Li, et al.
Published: (2025)

Support Vector Machine to Forecast Reexamination Invalidation Decisions for Utility Model Patent
by: Mei‐Hsin Wang, et al.
Published: (2025)

Forecasting COVID‐19 Transmission: Insights From the Logistic Smooth Transition Model
by: Yeliz Uymaz, et al.
Published: (2026)

Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice?
by: Evangelos E. Ioannidis, et al.
Published: (2025)