Cover Image

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Sida, Chen, Yankai, Qi, Yiyan, Ma, Chenhao, Cao, Bokai, Zhang, Yifei, Liu, Xue, Guo, Jian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)

Cross‐Channel Tone Volatility and Stock Returns in the Chinese Market
by: Xinyue Xue, et al.
Published: (2026)

Corporate Fundamentals and Stock Price Co-Movement
by: Wang, Lyuhong, et al.
Published: (2024)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
by: Zhang, Haohan, et al.
Published: (2023)

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
by: Lopez-Lira, Alejandro, et al.
Published: (2023)

Unleashing Expert Opinion from Social Media for Stock Prediction
by: Zhou, Wanyun, et al.
Published: (2025)

Trend-encoded Probabilistic Multi-order Model: A Non-Machine Learning Approach for Enhanced Stock Market Forecasts
by: Wang, Peiwan, et al.
Published: (2025)

Predicting Stock Price Movement as an Image Classification Problem
by: Steinbacher, Matej
Published: (2023)

Stock Market Price Prediction and Analysis
by: Ajinkya Rajkar, et al.
Published: (2021)

A Quantum Reservoir Computing Approach to Quantum Stock Movement Forecasting in Quantum-Invested Markets
by: Otieno, Wendy, et al.
Published: (2026)

Stock Price Limit and Its Predictability in the Chinese Stock Market
by: Haohui Liang, et al.
Published: (2024)

Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing
by: Chen, Yankai, et al.
Published: (2024)

Improving Financial Forecasting with a Synergistic LLM-Transformer Architecture: A Hybrid Approach to Stock Price Prediction
by: Hussain, Sayed Akif, et al.
Published: (2026)

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

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)

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

CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation
by: Yang, Yunfan, et al.
Published: (2026)

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
by: Guo, Jian, et al.
Published: (2024)

Forecasting and Pricing in the Carbon Credits Market
by: Yiyang Chen, et al.
Published: (2026)

Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis
by: Vuong, An, et al.
Published: (2025)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)

Forecasting Wholesale Electricity Market Prices Considering Bidding Conditions Using Price Sensitivity
by: Shinji Hirota, et al.
Published: (2024)

ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)

Are Country and Size Risks Priced in the Brazilian Stock Market?
by: Antonio Zoratto Sanvicente
Published: (2017)

Multifactor Asset Pricing Analysis of the Baltic Stock Market
by: Raimonds Lieksnis
Published: (2010)

Comprehensive Asset Pricing Tests in the Korean Stock Market
by: Jaewan Bae, et al.
Published: (2024)

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

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
by: Chen, Zhanpeng, 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)

Forecasting Chinese Stock Market Volatility With Volatilities in Bond Markets
by: Likun Lei, et al.
Published: (2024)

Housing Forecasts via Stock Market Indicators
by: Mittal, Varun, et al.
Published: (2022)

ESG Performance and Stock Price Synchronicity: Empirical Evidence From the US Stock Market
by: Yosra Ridha BenSaid, et al.
Published: (2026)

RETuning: Upgrading Inference-Time Scaling for Stock Movement Prediction with Large Language Models
by: Lin, Xueyuan, et al.
Published: (2025)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
by: Hu, Linyue, et al.
Published: (2025)

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

StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
by: Mohanty, Shaswat
Published: (2026)

Dynamic Correlation of Market Connectivity, Risk Spillover and Abnormal Volatility in Stock Price
by: Chen, Muzi, et al.
Published: (2024)

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge
by: Zhang, Yue, et al.
Published: (2025)

Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
by: Chen, Yankai, et al.
Published: (2025)