Latest Articles for Finance

A look at the importance and challenges of anomaly detection in various fields.

This article explores how LLMs enhance sentiment analysis for predicting currency prices.

A new tool for assessing explainability methods in AI systems.

Discover innovative multilevel approaches transforming optimization strategies for complex problems.

Introducing a novel filtering technique for non-Gaussian systems.

This article discusses a new dynamic hedging strategy using implied volatility.

Discover how GPT-3 transforms unstructured data into structured information.

New methods enhance the accuracy of solving fractional differential equations.

New algorithms improve efficiency in variational inequality problems across various fields.

Exploring how financial concerns affect sleep duration and inflammation levels.

Learn how Probabilistic Scoring Lists enhance decision-making by integrating probabilities.

Introducing Mamba Hawkes Process for better insights into event timing.

A new method improves reliability of Bayesian networks in critical fields.

A model improving predictions for high-dimensional matrix time series data.

Researchers develop a new approach to analyze complex quantum systems using unsupervised learning.

Learn how eigenvalues and correlation matrices aid in data analysis.

A new method improves outlier detection in multi-view datasets with missing views.

A study on the effectiveness of LLMs in reviewing ESG literature and financial performance.

Discover how math shapes financial decisions and market strategies.

A new method enhances fraud detection while ensuring data privacy.

Explore the conditions for existence and uniqueness of stochastic transport equations.

Analyzing how major health events affect pharmaceutical company stock prices.

Examining the impact of transaction ordering on decentralized exchange trading.

Explore how the Feynman-Kac formula aids in studying complex changing systems.

A look at quadratic and linear mean-variance equilibria in financial markets.

A new approach for effective dimension reduction in classification tasks.

Explore the challenges of adapting to changing rewards in decision-making.

Learn how PROF reduces risks in decentralized finance while benefiting validators.

A guide to estimating integrated volatility and its importance for investors.

A framework to analyze causal relationships in extreme scenarios.

Explore advanced forecasting techniques for futures trading using machine learning.

A look at the methods for studying changing processes across various fields.

A look into option pricing using financial mathematics and stochastic calculus.

A guide to creating low volatility portfolios using statistical methods.

A focused approach enhances summarization of financial news articles.

Exploring how group structures improve machine learning model explanations in finance.

New methods improve decision-making in uncertain environments through model-free approaches.

A new method enhances counterfactual explanations for machine learning model decisions.

This paper examines machine learning techniques for feedback control in complex systems.

A look at the significance of subweibull distributions in data analysis.