Latest Articles for Finance

Explore the effects of monetary policy announcements on market price fluctuations.

A new method to improve interpretability in GAMs by tackling concurvity.

This article examines how fuzzy clustering aids in identifying states in Markov Switching models.

Combining global and local merging techniques to improve data quality management.

This article explains the Radon-Nikodym theorem and its significance in probability theory.

Learn about CPPI and VBPI for investment protection.

Explore how random matrices unveil correlations in financial time series data.

A new method improves prediction intervals for machine learning models under shifting data.

Exploring how randomness shapes wave behavior in various fields.

A novel approach to solving convex minimization with linear constraints.

Explore the role of cumulants in understanding random matrices and their diverse applications.

A new weakly supervised system enhances bank transaction categorization.

New algorithms enhance the analysis of complex data sets across various fields.

A new method for detecting unusual patterns in data using machine learning.

Discover how specialized LLMs are transforming diverse industries and enhancing their capabilities.

A new model approach for better data predictions using Squared Neural Families.

New methods enhance efficiency in analyzing large tensors with randomized algorithms.

A look at the Quadratic Local Variance Gamma Model in finance.

Exploring how quantum computing can improve risk assessment in the energy sector.

A method for measuring uncertainty in causal orderings from observational data.

A deep dive into the importance of fairness in ML decision-making.

ARO offers a fast and accurate solution for credit card fraud detection.

Learn how to analyze volatility in irregularly spaced financial data.

Learn how stochastic optimization addresses uncertainty in various fields.

New methods improve data analysis without traditional likelihood functions.

An overview of monotone SPDEs, their noise types, and numerical solutions.

Learn how GP-SHAP explains machine learning predictions with uncertainty.

Probabilistic exponential integrators improve the handling of complex differential equations.

A new method improves anomaly detection across various datasets using stable density estimation.

Analyzing the effectiveness of zero-shot learning in financial language tasks.

A new method shows promise in solving high-dimensional partial differential equations effectively.

Balancing user privacy and decision-making in AI with differential privacy techniques.

Learn how accurate forecasting of intraday data can enhance trading decisions.

A look into how non-independent random variables can lead to predictable outcomes.

A new method to assess misstatement detection accuracy in financial documents.

A new hierarchical model improves asset covariance analysis using high-frequency data.

NCDEs provide solutions for analyzing irregular time series data in various fields.

A method for investors to increase returns despite information delays.

Recent work improves error management in numerical solutions for subdiffusion equations.

A look into how extreme values of two variables interact and impact various fields.