A novel semisupervised learning method with textual information for financial distress prediction
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Yue Qiu, Jiabei He, Zhensong Chen, Yinhong Yao, Yi Qu |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Corporate financial distress prediction in a transition economy
by: Minh Nguyen, et al.
Published: (2024)
by: Minh Nguyen, et al.
Published: (2024)
Incorporating media news to predict financial distress: Case study on Chinese listed companies
by: Lifang Zhang, et al.
Published: (2024)
by: Lifang Zhang, et al.
Published: (2024)
Forecasting the containerized freight index with AIS data: A novel information combination method based on gray incidence analysis
by: Yanhui Chen, et al.
Published: (2024)
by: Yanhui Chen, et al.
Published: (2024)
Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China
by: Longyue Liang, et al.
Published: (2024)
by: Longyue Liang, et al.
Published: (2024)
Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
by: Adela Bâra, et al.
Published: (2024)
by: Adela Bâra, et al.
Published: (2024)
A novel hybrid forecasting model with feature selection and deep learning for wind speed research
by: Xuejun Chen, et al.
Published: (2024)
by: Xuejun Chen, et al.
Published: (2024)
New forecasting methods for an old problem: Predicting 147 years of systemic financial crises
by: Emile du Plessis, et al.
Published: (2024)
by: Emile du Plessis, et al.
Published: (2024)
High frequency volatility of oil futures in China: Components, modeling, and prediction
by: Yi Hong, et al.
Published: (2024)
by: Yi Hong, et al.
Published: (2024)
Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation
by: Jiaming Liu, et al.
Published: (2024)
by: Jiaming Liu, et al.
Published: (2024)
A Hybrid Deep Learning Model for Coal Index Forecasting Based on Sentiment Analysis and Decomposition–Reconstruction Methods
by: Yi Xiao, et al.
Published: (2025)
by: Yi Xiao, et al.
Published: (2025)
Research on occupant injury severity prediction of autonomous vehicles based on transfer learning
by: Na Yang, et al.
Published: (2024)
by: Na Yang, et al.
Published: (2024)
Adaptive Model Integration for Stock Price Forecasting With CNN‐ATTN‐BiLSTM
by: Yi Xiao, et al.
Published: (2026)
by: Yi Xiao, et al.
Published: (2026)
Design of a precise ensemble expert system for crop yield prediction using machine learning analytics
by: Deeksha Tripathi, et al.
Published: (2024)
by: Deeksha Tripathi, et al.
Published: (2024)
Two‐stage credit risk prediction framework based on three‐way decisions with automatic threshold learning
by: Yusheng Li, et al.
Published: (2024)
by: Yusheng Li, et al.
Published: (2024)
Predicting Equity Premium: A New Momentum Indicator Selection Strategy With Machine Learning
by: Yong Qu, et al.
Published: (2024)
by: Yong Qu, et al.
Published: (2024)
Tail risk forecasting with semiparametric regression models by incorporating overnight information
by: Cathy W. S. Chen, et al.
Published: (2024)
by: Cathy W. S. Chen, et al.
Published: (2024)
Stock movement prediction: A multi‐input LSTM approach
by: Pan Tang, et al.
Published: (2024)
by: Pan Tang, et al.
Published: (2024)
Forecasting interval‐valued returns of crude oil: A novel kernel‐based approach
by: Kun Yang, et al.
Published: (2024)
by: Kun Yang, et al.
Published: (2024)
Portfolio management based on a reinforcement learning framework
by: Wu Junfeng, et al.
Published: (2024)
by: Wu Junfeng, et al.
Published: (2024)
Probabilistic electricity price forecasting based on penalized temporal fusion transformer
by: He Jiang, et al.
Published: (2024)
by: He Jiang, et al.
Published: (2024)
The mean squared prediction error paradox
by: Pablo Pincheira Brown, et al.
Published: (2024)
by: Pablo Pincheira Brown, et al.
Published: (2024)
Can Attention Mechanisms Improve Carbon Price Forecasting Accuracy?
by: Ting Yao, et al.
Published: (2025)
by: Ting Yao, et al.
Published: (2025)
Gated recurrent unit network: A promising approach to corporate default prediction
by: Michał Thor, et al.
Published: (2024)
by: Michał Thor, et al.
Published: (2024)
Forecasting Chinese Stock Market Volatility With Volatilities in Bond Markets
by: Likun Lei, et al.
Published: (2024)
by: Likun Lei, et al.
Published: (2024)
Threshold MIDAS Forecasting of Canadian Inflation Rate
by: Chaoyi Chen, et al.
Published: (2025)
by: Chaoyi Chen, et al.
Published: (2025)
Do search queries predict violence against women? A forecasting model based on Google Trends
by: Nicolás Gonzálvez‐Gallego, et al.
Published: (2024)
by: Nicolás Gonzálvez‐Gallego, et al.
Published: (2024)
A Frailty Cumulative Link Model for Enhanced Prediction of Loss Given Default Distribution
by: Ruey‐Ching Hwang, et al.
Published: (2025)
by: Ruey‐Ching Hwang, et al.
Published: (2025)
Harnessing volatility cascades with ensemble learning
by: Mingmian Cheng
Published: (2024)
by: Mingmian Cheng
Published: (2024)
An ensemble model for stock index prediction based on media attention and emotional causal inference
by: Juanjuan Wang, et al.
Published: (2024)
by: Juanjuan Wang, et al.
Published: (2024)
Forecasting healthcare service volumes with machine learning algorithms
by: Dong‐Hui Yang, et al.
Published: (2024)
by: Dong‐Hui Yang, et al.
Published: (2024)
Forecasting agricultures security indices: Evidence from transformers method
by: Ammouri Bilel
Published: (2024)
by: Ammouri Bilel
Published: (2024)
Ensemble Multitask Prediction of Air Pollutants Time Series: Based on Variational Inference, Data Projection, and Generative Adversarial Network
by: Kang Wang, et al.
Published: (2024)
by: Kang Wang, et al.
Published: (2024)
Forecasting elections from partial information using a Bayesian model for a multinomial sequence of data
by: Soudeep Deb, et al.
Published: (2024)
by: Soudeep Deb, et al.
Published: (2024)
A study and development of high‐order fuzzy time series forecasting methods for air quality index forecasting
by: Sushree Subhaprada Pradhan, et al.
Published: (2024)
by: Sushree Subhaprada Pradhan, et al.
Published: (2024)
Forecasting sovereign CDS spreads with a regime‐switching combination method
by: Jianping Li, et al.
Published: (2024)
by: Jianping Li, et al.
Published: (2024)
Data Quality Improvement for Financial Distress Prediction: Feature Selection, Data Re‐Sampling, and Their Combinations in Different Orders
by: Chih‐Fong Tsai, et al.
Published: (2025)
by: Chih‐Fong Tsai, et al.
Published: (2025)
Can intraday data improve the joint estimation and prediction of risk measures? Evidence from a variety of realized measures
by: Zhimin Wu, et al.
Published: (2024)
by: Zhimin Wu, et al.
Published: (2024)
Spread Option Pricing Method Based on Nonparametric Predictive Inference Copula
by: Ting He
Published: (2025)
by: Ting He
Published: (2025)
Using deep (machine) learning to forecast US inflation in the COVID‐19 era
by: David Stoneman, et al.
Published: (2024)
by: David Stoneman, et al.
Published: (2024)
Forecasting multi‐frequency intraday exchange rates using deep learning models
by: Muhammad Arslan, et al.
Published: (2024)
by: Muhammad Arslan, et al.
Published: (2024)
Similar Items
-
Corporate financial distress prediction in a transition economy
by: Minh Nguyen, et al.
Published: (2024) -
Incorporating media news to predict financial distress: Case study on Chinese listed companies
by: Lifang Zhang, et al.
Published: (2024) -
Forecasting the containerized freight index with AIS data: A novel information combination method based on gray incidence analysis
by: Yanhui Chen, et al.
Published: (2024) -
Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China
by: Longyue Liang, et al.
Published: (2024) -
Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
by: Adela Bâra, et al.
Published: (2024)