Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Stock Market Forecasting Methods — 26 papers
• Machine Learning — 14 papers
• Computational Finance — 7 papers
• Stochastic processes and financial applications — 5 papers
• Blockchain Technology Applications and Security — 5 papers
• Complex Systems and Time Series Analysis — 5 papers
• Mathematical Finance — 4 papers
• Portfolio Management — 3 papers
• Artificial Intelligence — 2 papers
• General Finance — 2 papers

Highest-Cited Papers

1. Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes
2. High-Order Convergent Numerical Method for Pricing Asian Options Under Regime-Switching Model
3. An Analytic COS Method for Compound Option Valuation
4. Financial Volatility and Risk Forecasting Incorporating a Larger Number of Realized Measures
5. Emergent Latent-State Computation under Stochastic Volatility
6. OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research
7. FlowLOB: A Continuous-Time Computational Simulator for Event-Level Limit Order Book Counterfactuals
8. Exploiting market state data for forecasting stock prices: an analysis using predictive algorithms for the Dow Jones and Nasdaq indexes
9. Complex Discontinuities of the Square Root of Fredholm Determinants in the Volterra Stein–Stein Stochastic Volatility Model
10. Predictive Analytics Approaches to Modeling Bitcoin Prices During Periods of Financial Uncertainty
11. Fair Combinatorial Auctions: Endogenous Best Execution in Blockchain Trade-Intent Markets
12. Susceptible Reservoir Architectures for Regime-Conditional Volatility Forecasting
13. Discrete dividends after maturity adjust the stock and strike prices
14. One Other Option Pricing Scheme
15. HybridSwingNet for explainable swing trading using multi-encoder deep learning and confidence-calibrated signal execution
16. A large language model-driven framework for adaptive stock forecasting under China’s policy-driven market dynamics
17. Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features
18. Neural Network-Driven Volatility Drag Mitigation under Aggressive Leverage
19. Stock market trend forecasting using gated recurrent unit deep learning model
20. Options markets as political forecasts: insights from the 2024 U.S. presidential race