Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Junzhe, Yang, Chang, Wang, Xinrun, Li, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025)
by: Karadaş, Furkan, et al.
Published: (2025)
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024)
by: Xiao, Jue, et al.
Published: (2024)
Regression and Forecasting of U.S. Stock Returns Based on LSTM
by: Zhou, Shicheng, et al.
Published: (2025)
by: Zhou, Shicheng, et al.
Published: (2025)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
by: Liang, Bohan, et al.
Published: (2025)
by: Liang, Bohan, et al.
Published: (2025)
From Index to Equity: Pre-Training Transformers for Stock Return Prediction
by: Coolsaet, Marie Soehl, et al.
Published: (2026)
by: Coolsaet, Marie Soehl, et al.
Published: (2026)
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)
Modeling Regime Structure and Informational Drivers of Stock Market Volatility via the Financial Chaos Index
by: Ataei, Masoud
Published: (2025)
by: Ataei, Masoud
Published: (2025)
Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
by: Giffary, Novan Fauzi Al, et al.
Published: (2024)
by: Giffary, Novan Fauzi Al, et al.
Published: (2024)
Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
by: Dukkipati, Ambedkar, et al.
Published: (2025)
by: Dukkipati, Ambedkar, et al.
Published: (2025)
SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest
by: Talazadeh, Saber, et al.
Published: (2024)
by: Talazadeh, Saber, et al.
Published: (2024)
Cross-Lingual News Event Correlation for Stock Market Trend Prediction
by: Arshad, Sahar, et al.
Published: (2024)
by: Arshad, Sahar, et al.
Published: (2024)
News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models
by: Attaluri, Kaushal, et al.
Published: (2024)
by: Attaluri, Kaushal, et al.
Published: (2024)
News Sentiment Embeddings for Stock Price Forecasting
by: Qayyum, Ayaan
Published: (2025)
by: Qayyum, Ayaan
Published: (2025)
Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
by: Lee, Hyunwoo, et al.
Published: (2025)
by: Lee, Hyunwoo, et al.
Published: (2025)
Exploiting Supply Chain Interdependencies for Stock Return Prediction: A Full-State Graph Convolutional LSTM
by: Liu, Chang
Published: (2023)
by: Liu, Chang
Published: (2023)
Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)
by: Liao, Pei-Jun, et al.
Published: (2026)
Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure
by: Hong, Yuxi
Published: (2025)
by: Hong, Yuxi
Published: (2025)
HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction
by: Choudhary, Prashant Kumar, et al.
Published: (2025)
by: Choudhary, Prashant Kumar, et al.
Published: (2025)
Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach
by: Sathish, Sanjay, et al.
Published: (2024)
by: Sathish, Sanjay, et al.
Published: (2024)
Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
by: Lim, Brian Godwin, et al.
Published: (2025)
by: Lim, Brian Godwin, et al.
Published: (2025)
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)
by: Pei, Zhiyuan, et al.
Published: (2024)
Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
by: Gueiros, Joao Felipe, et al.
Published: (2025)
by: Gueiros, Joao Felipe, et al.
Published: (2025)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
by: Huang, Dengxin
Published: (2023)
by: Huang, Dengxin
Published: (2023)
Predicting Stock Market Crash with Bayesian Generalised Pareto Regression
by: Das, Sourish
Published: (2025)
by: Das, Sourish
Published: (2025)
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
by: Li, Huiyu, et al.
Published: (2024)
by: Li, Huiyu, et al.
Published: (2024)
Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
by: Phan, John, et al.
Published: (2024)
by: Phan, John, et al.
Published: (2024)
On the Co-movement of Crude, Gold Prices and Stock Index in Indian Market
by: Sen, Abhibasu, et al.
Published: (2019)
by: Sen, Abhibasu, et al.
Published: (2019)
Comparative Study of Bitcoin Price Prediction
by: Mohammadjafari, Ali
Published: (2024)
by: Mohammadjafari, Ali
Published: (2024)
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
by: Ridhawi, Mohammad Al, et al.
Published: (2026)
by: Ridhawi, Mohammad Al, et al.
Published: (2026)
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
by: Sonani, Meet Satishbhai, et al.
Published: (2025)
by: Sonani, Meet Satishbhai, et al.
Published: (2025)
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
by: Ridhawi, Mohammad Al, et al.
Published: (2026)
by: Ridhawi, Mohammad Al, et al.
Published: (2026)
Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment
by: Arat, Baris, et al.
Published: (2026)
by: Arat, Baris, et al.
Published: (2026)
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
by: Omranpour, Soroush, et al.
Published: (2024)
by: Omranpour, Soroush, et al.
Published: (2024)
CRISIS ALERT:Forecasting Stock Market Crisis Events Using Machine Learning Methods
by: Chen, Yue, et al.
Published: (2024)
by: Chen, Yue, et al.
Published: (2024)
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)
by: Din, Riaz Ud, et al.
Published: (2024)
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges
by: Simonyan, Aleksandr
Published: (2024)
by: Simonyan, Aleksandr
Published: (2024)
Similar Items
-
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
by: Khubiev, Kasymkhan, et al.
Published: (2025) -
Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025) -
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024) -
Regression and Forecasting of U.S. Stock Returns Based on LSTM
by: Zhou, Shicheng, et al.
Published: (2025) -
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)