:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Hong, Yuxi
Format:	Preprint
Published:	2025
Subjects:	Statistical Finance Machine Learning
Online Access:	https://arxiv.org/abs/2501.09760
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)

Modeling Regime Structure and Informational Drivers of Stock Market Volatility via the Financial Chaos Index
by: Ataei, Masoud
Published: (2025)

Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
by: Dukkipati, Ambedkar, et al.
Published: (2025)

SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest
by: Talazadeh, Saber, et al.
Published: (2024)

Cross-Lingual News Event Correlation for Stock Market Trend Prediction
by: Arshad, Sahar, et al.
Published: (2024)

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
by: Lee, Hyunwoo, et al.
Published: (2025)

Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis
by: Pokou, Fredy, et al.
Published: (2026)

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction
by: Jiang, Junzhe, et al.
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)

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)

Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
by: Huang, Dengxin
Published: (2023)

Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
by: Ridhawi, Mohammad Al, et al.
Published: (2026)

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
by: Ni, Haowei, et al.
Published: (2024)

Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
by: Dave, Daksh, 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)

Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)

Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024)

From Index to Equity: Pre-Training Transformers for Stock Return Prediction
by: Coolsaet, Marie Soehl, et al.
Published: (2026)

Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025)

Regression and Forecasting of U.S. Stock Returns Based on LSTM
by: Zhou, Shicheng, et al.
Published: (2025)

News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models
by: Attaluri, Kaushal, et al.
Published: (2024)

Exploiting Supply Chain Interdependencies for Stock Return Prediction: A Full-State Graph Convolutional LSTM
by: Liu, Chang
Published: (2023)

CRISIS ALERT:Forecasting Stock Market Crisis Events Using Machine Learning Methods
by: Chen, Yue, et al.
Published: (2024)

PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
by: Liang, Bohan, et al.
Published: (2025)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
by: Omranpour, Soroush, et al.
Published: (2024)

Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
by: Sonani, Meet Satishbhai, et al.
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)

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
by: Qian, Hao, et al.
Published: (2024)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
by: Phan, John, et al.
Published: (2024)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)

News Sentiment Embeddings for Stock Price Forecasting
by: Qayyum, Ayaan
Published: (2025)

Predicting Stock Market Crash with Bayesian Generalised Pareto Regression
by: Das, Sourish
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)

Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)

Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
by: Lim, Brian Godwin, et al.
Published: (2025)

Memory, Roughness, and Information Persistence in Financial Markets: A Structural Approach to Volatility Forecasting
by: Deep, Akash, et al.
Published: (2026)

Mamba Outpaces Reformer in Stock Prediction with Sentiments from Top Ten LLMs
by: Kadiyala, Lokesh Antony, et al.
Published: (2025)

RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
by: Gu, Jingyi, et al.
Published: (2024)