Latest Articles for Finance

Explore the complexities of game strategies and decision-making techniques.

Using language models to forecast stock price movements through financial and news data.

Social media is driving meme stock trends and market fluctuations.

This study explores improving decision-making through risk-averse learning techniques.

Study reveals insights on stock price predictions using deep learning techniques.

Combining fuzzy logic and symbolic regression for clearer fraud detection.

Discover how MAP Protocol is bridging blockchain gaps for seamless transactions.

A new method optimizes deep learning training for better performance on unseen data.

Understanding data's worth is crucial for business success.

Explore how Bitcoin operates and the threats it faces.

A look into improving teamwork for better decision-making outcomes.

Examining behavior and exit times of random walks within cone structures.

A fresh approach to understanding market uncertainty for smarter investments.

A look into DeFi risks and the need for better security tools.

Discover how sharing information can lead to smarter trading decisions.

Examining the importance of fairness in record matching techniques.

A look into Bayesian modeling for time series data with correlated errors.

Learn how concave tents can simplify nonlinear optimization challenges.

Learn how hierarchical federated learning protects data while enabling collaboration across devices.

New loss functions enhance how language models manage numerical data.

Examining wealth sharing and inequality in society over time.

Introducing randomness to improve volatility model accuracy in options trading.

A novel approach to analyze heavy-tailed data using robust max statistics.

New method enhances prediction reliability for diverse groups in high-stakes scenarios.

This article explores properties and applications of nonlocal elliptic equations.

A study on optimizing trade execution and managing market risks.

A new framework enhances predictions and decision-making under uncertainty.

FLEXtime provides clearer insights into time series data predictions.

A look at how randomness affects various systems and our understanding of them.

A new method to efficiently sample complex data streams.

New architecture enhances speed and accuracy for transformer models in various fields.

Federated Learning and Explainable AI ensure safe and clear data practices.

Combining human insights and machine learning to combat financial fraud effectively.

A new approach to detect online fraud using graph technology.

A deep dive into managing extreme losses in finance.

Learn how soft Hoeffding trees adapt to changing data while remaining clear.

New techniques improve understanding of complex financial documents for better insights.

Learn how to identify significant shifts in time series data effectively.

Learn how skewness and kurtosis improve tail risk predictions in finance.

A method that improves prediction accuracy across diverse groups.