Image de couverture de livre

Corporate Fundamentals and Stock Price Co-Movement

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Lyuhong, Jiang, Jiawei, Zhao, Yang
Format:	Preprint
Publié:	2024
Sujets:	Statistical Finance
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
par: Lim, Brian Godwin, et autres
Publié: (2025)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
par: Siala, Walid, et autres
Publié: (2026)

On the Co-movement of Crude, Gold Prices and Stock Index in Indian Market
par: Sen, Abhibasu, et autres
Publié: (2019)

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
par: Lopez-Lira, Alejandro, et autres
Publié: (2023)

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction
par: Jiang, Junzhe, et autres
Publié: (2025)

Classification-Based Analysis of Price Pattern Differences Between Cryptocurrencies and Stocks
par: Zhang, Yu, et autres
Publié: (2025)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
par: Zhang, Haohan, et autres
Publié: (2023)

News Sentiment Embeddings for Stock Price Forecasting
par: Qayyum, Ayaan
Publié: (2025)

A Stochastic Model for Illiquid Stock Prices and its Conclusion about Correlation Measurement
par: Nanyonga, Erina, et autres
Publié: (2025)

A Decision Support System for Stock Selection and Asset Allocation Based on Fundamental Data Analysis
par: Abrishami, Ali, et autres
Publié: (2024)

Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
par: Khubiev, Kasymkhan, et autres
Publié: (2025)

Multimodal Stock Price Prediction
par: Karadaş, Furkan, et autres
Publié: (2025)

Integration of Wavelet Transform Convolution and Channel Attention with LSTM for Stock Price Prediction based Portfolio Allocation
par: Guo, Junjie
Publié: (2025)

Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
par: Alamu, Opeyemi Sheu, et autres
Publié: (2024)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
par: Wang, Shengkun, et autres
Publié: (2024)

The Impact of Oil and Gold Prices Shock on Tehran Stock Exchange: A Copula Approach
par: Najafabadi, Amir T. Payandeh, et autres
Publié: (2020)

Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
par: Xiao, Jue, et autres
Publié: (2024)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
par: Omranpour, Soroush, et autres
Publié: (2024)

PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
par: Liang, Bohan, et autres
Publié: (2025)

Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
par: Phan, John, et autres
Publié: (2024)

Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
par: Gueiros, Joao Felipe, et autres
Publié: (2025)

Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
par: Liao, Pei-Jun, et autres
Publié: (2026)

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
par: Lee, Hyunwoo, et autres
Publié: (2025)

Revisiting Cont's Stylized Facts for Modern Stock Markets
par: Ratliff-Crain, Ethan, et autres
Publié: (2023)

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
par: Din, Riaz Ud, et autres
Publié: (2024)

Stochastic Approaches to Asset Price Analysis
par: Sekatchev, Michael, et autres
Publié: (2024)

AI-Enhanced Factor Analysis for Predicting S&P 500 Stock Dynamics
par: Gu, Jiajun, et autres
Publié: (2024)

On Bitcoin Price Prediction
par: Bournassenko, Grégory
Publié: (2025)

"Digitwashing": The Gap between Words and Deeds in Digital Transformation and Stock Price Crash Risk
par: Zor, Shutter
Publié: (2024)

News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models
par: Attaluri, Kaushal, et autres
Publié: (2024)

Multi-Horizon Echo State Network Prediction of Intraday Stock Returns
par: Ballarin, Giovanni, et autres
Publié: (2025)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
par: Zeng, Liang, et autres
Publié: (2021)

Machine Learning Methods for Pricing Financial Derivatives
par: Fan, Lei, et autres
Publié: (2024)

Joint News, Attention Spillover,and Stock Returns
par: Guo, Li, et autres
Publié: (2017)

Stock market forecasting using DRAGAN and feature matching
par: Nejad, Fateme Shahabi, et autres
Publié: (2023)

A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
par: Pei, Zhiyuan, et autres
Publié: (2024)

Are there Dragon Kings in the Stock Market?
par: Liu, Jiong, et autres
Publié: (2023)

Price predictability at ultra-high frequency: Entropy-based randomness test
par: Shternshis, Andrey, et autres
Publié: (2023)

Intrinsic Geometry of the Stock Market from Graph Ricci Flow
par: Srinivasan, Bhargavi
Publié: (2025)

Analyzing Communicability and Connectivity in the Indian Stock Market During Crises
par: Pawanesh, Pawanesh, et autres
Publié: (2025)