Latest Articles for Finance

A look into why explainable AI matters across various sectors.

Explore methods to enhance uncertainty quantification in event prediction models.

Study compares price limits and circuit breakers in managing stock price declines.

A new method for creating scoring systems that address multiple classes effectively.

Explore how treemaps present hierarchical information clearly and efficiently.

This paper analyzes how AI influences human decisions in various fields.

DocFinQA improves financial analysis by using long documents for better insights.

Learn the basics of nonlinear Dirichlet forms and their significance in various fields.

A study on solution behaviors in differential equations using trace conditions.

Exploring Markov mimics and their role in stochastic processes.

Innovative techniques enhance analysis of stochastic differential equations and their uncertainty.

SALSA improves efficiency in analyzing large datasets across various fields.

A fresh method for more accurate credit risk estimation and management.

A new approach enhances the understanding of feature interactions in deep neural networks.

Learn essential methods for evaluating loan default probability and credit risk management.

Examining sample complexity in stochastic programming with heavy-tailed distributions.

Improving asset return predictability through advanced testing methods.

A study on how managers handle cash amidst risk and ambiguity.

Introducing a new method for faster network analysis and reconstruction.

Exploring methods to make AI in finance more understandable and trustworthy.

This article discusses using deep learning to estimate the Hurst parameter in fractional processes.

Exploring how LLMs are changing finance with automation and analysis.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article outlines a method for assessing security risks in DLT applications.

A look at offline RL's potential and challenges in decision-making.

Using data analysis to spot money laundering tactics in banking.

This article discusses the need for clarity in machine learning models.

Learn how Hawkes processes explain event interactions in various fields.

Learn how Transaction Fee Redistribution Mechanisms can lower costs for blockchain users.

Learn how omniprediction shapes forecasting in various industries.

Innovative methods for estimating covariance matrices while protecting personal privacy.

Explore how agents interact and make decisions in complex systems.

Learn how sign averaging improves optimization in noisy environments.

MANTRA enhances long-term forecasting with a dual learning approach for accuracy.

Quantum algorithms speed up decision trees for better data analysis.

Understanding methods for estimating parameters in diffusion processes across various fields.

This article investigates the stochastic heat equation and the behavior of its solutions.

Researchers reveal a method to efficiently solve large linear equation systems using binary optimization.

Studying adversarial impacts on automated stock trading agents in competitive markets.

A study on improving language models in finance with external tools.