Latest Articles for Finance

A new approach to building efficient sparse portfolios using Topological Data Analysis.

This study examines how debt impacts medical students' well-being and career choices.

Explore strategies for managing dividends while ensuring company growth and stability.

This article discusses the Growth Optimal Portfolio and its role in continuous markets.

Examining how marked Hawkes processes shed light on event interactions over time.

Discover how AI transforms investment strategies for better returns and lower risks.

A look into Functional Principal Component Analysis for handling sparse functional data.

Insights into handling weak factors in complex data analysis.

Learn how signature models analyze price movements and improve volatility predictions.

A new approach to filling gaps in nearly low-rank data.

Introducing a framework to improve stock prediction and explanations.

Improving the calibration of uncertainty enhances decision-making in various fields.

Introducing RS-DisRL for better decision-making in uncertain environments.

New methods enhance reliability of AI predictions, particularly in critical fields.

Exploring the growth and dynamics of perpetual futures trading in blockchain.

A look into variance measurement and its significance in various fields.

A look into how fairness affects job and opportunity matching.

A new method to analyze financial data by identifying significant parameter changes.

A novel approach to graph domain adaptation without needing labeled data.

Exploring how AI transforms trading decision-making in financial markets.

This article examines how cyber risk affects company valuations and stock returns.

Explore the impact of randomness on complex systems through advanced mathematical models.

Learn methods for effective solutions in convex nonsmooth optimization.

Exploring fractional derivatives and their computational methods for accurate modeling in various fields.

New methods enhance decision-making in reinforcement learning through better outcome predictions.

Introducing a score-based solver for complex high-dimensional problems.

A look at the USS pension scheme's valuation complexities and external influences.

A new method for consistent counterfactual explanations despite model changes.

Quantum computing could transform many fields while posing significant risks to cybersecurity.

A look at new classifiers enhancing data analysis through Mahalanobis distances.

This article examines how memory affects first passage time for random walkers.

A new dataset enhances stock market predictions using news sentiment analysis.

This study evaluates models for detecting anomalies in time series data.

Introducing Causal-NECO VaR for better risk prediction in finance.

Explore how tensor neural networks tackle complex high-dimensional equations in various fields.

A new approach to filtering complex systems using Gaussian PSD Models.

A new method improves the efficiency of solving PDEs with deep learning.

A novel scheme to simulate jump-driven stochastic processes in various fields.

Explore fractional Brownian motion's properties and its impact on parameter estimation.

This article discusses the essential aspects of constrained reinforcement learning and its real-world applications.