Latest Articles for Finance

Analyzing financial data to spot non-viable businesses.

Learn how Heston's model reshapes portfolio optimization in volatile markets.

A new method for forecasting anomalies using advanced deep learning techniques.

Examining the role of LLMs in predicting stock prices and enhancing market insights.

Learn how payment channel networks can improve cryptocurrency transactions.

An overview of transaction workloads and their role in financial systems.

This paper presents an approach for elliptic optimal control problems with strict state constraints.

Combining federated learning and blockchain enhances data privacy in collaborative models.

This article examines how deep learning predicts financial volatility across various assets.

Discover how FPGA technology improves high-precision matrix multiplication.

An overview of decentralized exchanges and constant function market makers.

MMD-FUSE enhances two-sample testing through improved kernel selection and adaptive methods.

Discover the role of relation extraction in processing financial documents.

Simplifying investment strategies through advanced techniques for better decision-making.

Exploring methods for identifying shifts in time series across various fields.

Explainability in AI is crucial for trust in critical fields like healthcare.

A method to identify changes in time series data across various fields.

A new algorithm enhances Bayesian optimization for complex problem-solving across various fields.

A new approach to risk-sensitive reinforcement learning for safer decision-making.

Explore how quantile coherence aids in understanding financial time series interactions.

A guide to effective portfolio optimization amidst uncertainty.

A new method for effective data analysis using labeled and unlabeled data.

Learn how sufficient dimension reduction enhances predictive modeling in data science.

Analyzing sentiment in Chinese news to predict stock movements.

Examining how risk-sensitive methods improve decision-making in reinforcement learning.

A look at advanced methods for understanding complex datasets.

A new method enhances variable selection for complex datasets in two-view tasks.

This article discusses enhancing decision tree explanations for fairer outcomes.

Examining the performance of reinforcement learning strategies in stock trading.

A new method to visualize feature effects in dynamic machine learning models.

Learn how Bayesian methods improve data insights in various fields.

Explore how bond pricing relates to stock market behavior.

A look into local and nonlocal mathematical challenges and their implications.

Learn how machine learning improves variable ordering in multiobjective optimization.

A new approach improves the execution of multiple trading orders efficiently.

Learn how discounts affect bond pricing and investment decisions.

A look at how implied certainty equivalent rates influence investment decisions.

A new method enhances reliability in deep learning models by addressing predictive uncertainty.

Examines how social influence affects lending decisions in peer-to-peer platforms.

SeCAM enhances understanding of AI image classification models.