Latest Articles for Finance

Introducing SLCE, a supervised approach for clearer data visualization.

Quantum computing offers improvements in forecasting with quantum discrete maps.

Methods to identify shifts in data with heavy tails.

A look at how trading costs affect profitability and the importance of accurate models.

This article examines unique solutions of the degenerate third Painlevé equation.

Exploring duality in dynamic stochastic models for clearer analysis and insights.

Learn how Gaussian models reveal relationships between variables across different fields.

New method offers flexibility for calculating convolutions effectively.

New integrators offer efficient energy preservation for complex mathematical models.

How emotions in news impact stock prices through sentiment analysis.

New method accelerates integral calculations in high dimensions using QMC techniques.

A look into time-varying models for better economic predictions.

Learn how counterfactual explanations enhance AI decision-making clarity.

Examining how ECB interest rate decisions affect economies worldwide.

A study of arrivals through point processes and their connection to continuous processes.

New methods improve covariance estimation amid data challenges.

Examining how to keep explanations consistent as ML models adapt.

New methods for solving complex stochastic processes enhance computational efficiency.

Learn how temporal query systems improve data analysis across various domains.

Examining the need for lower collateral requirements in blockchain loans.

A look at how banded matrix factorization protects privacy in machine learning.

Analyzing how private order flow changes Ethereum block building dynamics.

Exploring how quantum computing can transform finance and affect blockchain security.

This article explains how to learn key components of stochastic differential equations.

Learn about efficient methods for tackling complex saddle-point problems.

This article presents a new method for ordering transactions fairly and efficiently.

Exploring methods to extract signals from noisy datasets across various fields.

This model helps traders improve investment decisions with a focus on price changes.

Exploring rough Bessel processes and their importance in finance and physics.

This article examines fairness in algorithms and its implications in various sectors.

A look at methods to incorporate risk sensitivity into reinforcement learning strategies.

Explore new methods to enhance decision-making under uncertainty.

Combining reinforcement learning and barrier functions for smarter investment strategies.

New methods improve how investors predict stock price changes.

Introducing NFT-MARS, a recommender system designed specifically for the growing NFT market.

A new method enhances accuracy in identifying financial market bubbles.

A fresh approach to stablecoins for smoother transactions across blockchains.

This paper presents improved techniques for analyzing cointegrated time series relationships.

This article discusses new methods for classifying time series data with ordered labels.

New bandit algorithms improve decision-making under uncertainty in various fields.