Latest Articles for Finance

Learn how threshold OU processes aid in predicting behavior in various fields.

An overview of the unique factors affecting cryptocurrency investment.

Introducing new strategies for efficient convex optimization problem solving.

A new framework to ensure performance of first-order methods in parametric quadratic optimization.

StockGPT uses advanced modeling for predicting stock returns based on historical data.

A look into benchmark-neutral pricing for financial products like bonds.

A guide to decision-making using past data and understanding risks.

Methods to handle noisy data in finance using volatility matrices.

Explore how mathematical models forecast cryptocurrency price movements.

Study of reconstructing unknown terms in PDEs from noisy data using regularization methods.

Explore how foundation models improve time series data analysis across various fields.

Learn how new methods improve predictions for random events and outcomes.

A look into new methods for pricing financial options using market data.

Study reveals how machine learning can enhance investment strategies and performance.

An overview of stochastic differential equations and their significance in various fields.

A new approach uses AI to streamline tagging of financial reports.

A new model simplifies asset pricing analysis, yielding better predictions.

Delphi enhances consensus among devices with improved efficiency and reliability.

Understanding diverse risk preferences can improve strategies in multi-agent decision-making.

An analysis of how activist short sellers impact stock prices and market behavior.

A look at how conditional distributions function with Gaussian random variables.

A look at how individuals form price expectations using different learning models.

New algorithms enhance decision-making by considering risk and efficiency.

Discover how MASAAT enhances investment strategies through multi-agent analysis.

An overview of bivariate quasi-copulas and their applications in various fields.

New methods enhance analysis of stochastic models with irregular coefficients.

Learn effective strategies to address missing data challenges in various fields.

LoSTer improves clustering accuracy and speed for long time series data.

Quantum algorithms enhance risk calculations for financial derivatives.

A detailed look at MAg-ES algorithm's effectiveness for solving constrained optimization problems.

New methods streamline the pricing of complex financial options for traders.

A fresh approach to analyze time series data interactions using statistical features.

New techniques enhance the accuracy of identifying trends in various fields.

A look at how goodness-of-fit tests evaluate data against statistical models.

A new framework for efficient reinforcement learning in complex environments.

Exploring random matrices and their significance in complex systems across various fields.

RoTHP improves predictions in event modeling through rotary position encoding.

A look at how dependence measures help analyze relationships between multiple variables.

A novel approach improves distance optimization strategies at singular points.

Learn how stochastic Volterra equations model random systems across various fields.