Papers

• A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective (2026)
  Olivia Zhang et al.
  1.83
• Machine learning models for predicting catastrophe bond coupons using climate data (2025)
  Julia Ko\'nczal et al.
  1.56
• Push-response anomalies in high-frequency S&P 500 price series (2025)
  Dmitrii Vlasiuk et al.
  1.50
• Re(Visiting) Time Series Foundation Models in Finance (2025)
  Eghbal Rahimikia et al.
  1.50
• Large Language Models and Futures Price Factors in China (2025)
  Yuhan Cheng et al.
  1.39
• Re-evaluating Short- and Long-Term Trend Factors in CTA Replication: A Bayesian Graphical Approach (2025)
  Eric Benhamou and Jean-Jacques Ohana and Alban Etienne and B\'eatrice Guez and Ethan Setrouk and Thomas Jacquot
  1.28
• Machine learning method for return direction forecasting of Exchange Traded Funds using classification and regression models (2022)
  Raphael P. B. Piovezan et al.
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• Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications (2022)
  Xi-Ning Zhuang et al.
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• Eigenvalue tests for the number of latent factors in short panels (2022)
  Alain-Philippe Fortin et al.
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• Predicting Stock Price Movement as an Image Classification Problem (2023)
  Matej Steinbacher
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• Gated Deeper Models are Effective Factor Learners (2023)
  Jingjing Guo
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• An Empirical Analysis on Financial Markets: Insights from the Application of Statistical Physics (2023)
  Haochen Li et al.
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• American Option Pricing using Self-Attention GRU and Shapley Value Interpretation (2023)
  Yanhui Shen
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• Transformer-based approach for Ethereum Price Prediction Using Crosscurrency correlation and Sentiment Analysis (2024)
  Shubham Singh et al.
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• Electricity Price Forecasting in the Irish Balancing Market (2024)
  Ciaran O'Connor and Joseph Collins and Steven Prestwich and Andrea Visentin
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• RVRAE: A Dynamic Factor Model Based on Variational Recurrent Autoencoder for Stock Returns Prediction (2024)
  Yilun Wang et al.
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• StockGPT: A GenAI Model for Stock Prediction and Trading (2024)
  Dat Mai
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• Neural Network Learning of Black-Scholes Equation for Option Pricing (2024)
  Daniel de Souza Santos and Tiago Alessandro Espinola Ferreira
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• Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder (2024)
  Parley R Yang and Alexander Y Shestopaloff
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