Latest Articles for Finance

Learn how robust risk measurement helps navigate uncertainty in decision-making.

LLMs are reshaping how trading instructions are processed and executed in finance.

Discover the fascinating world of Weighted Tensorized Fractional Brownian Fields and their applications.

A new method combines neural networks with BSDEs for better financial insights.

Discover how Tube Loss improves prediction intervals across various fields.

Explore the factors influencing IPO success in India's growing market.

Discover how random walks reveal patterns in nature and behavior.

Discover how blockchain data analysis enhances security and decision-making in the digital realm.

Deep learning models enhance financial time series analysis for better investment strategies.

Microfinance empowers the poor with financial support for better living and business opportunities.

Explore how fractional diffusion equations explain complex particle movements.

Explore the role of tempered fractional systems in mathematics and real-life applications.

Learn how causal graphs clarify the mysteries of predictive models.

Explore the intriguing world of harmonic measure and Brownian motion.

A look into RSDEs and their impact on decision-making in uncertain environments.

A new method enhances predictions of stock market volatility.

A closer look at understanding asset connections in finance.

MOFHEI transforms machine learning for better privacy and efficiency.

Learn how feature shifts can improve classification outcomes in various fields.

Explore the impact of news sentiment on stock volatility.

A deep dive into how speculation affects token prices in digital markets.

Discover how large language models are reshaping financial predictions.

Discover how TGNNs model changing data relationships over time.

FMGP improves DNN predictions by estimating uncertainty, crucial for high-stakes applications.

Bridge-type estimators help identify key variables in complex data efficiently.

Explore the significance and methods of Training Data Attribution in AI.

Explore the role of signed graphs in data science and advancements in GNNs.

Using geometry to improve predictions of asset price movements through covariance matrices.

A clear look at studying extreme events across multiple variables.

Learn how bootstrapping helps estimate uncertainty in statistics.

Exploring how random fields model unpredictable systems in nature and finance.

A new method streamlines how we measure sample quality in statistical analysis.

Learn how researchers tackle uncertainty in complex systems using optimal control methods.

Discover how IGA transforms financial derivative pricing methods.

Discover how new methods are improving predictions in uncertain dynamic environments.

Discover how sentiment analysis is transforming financial market predictions.

A fresh method simplifies complex nested integrals for better efficiency.

Discover how machine learning teaches computers to learn from data.

A new method protects sensitive information while enabling useful data analysis.

Higher Order Transformers enhance stock movement predictions using diverse data sources.