Latest Articles for Finance

A look at improved techniques for identifying changes in various systems.

New methods improve testing of financial models, addressing data complexity.

S-money tokens offer a new way to conduct secure financial transactions with privacy.

Learn how causal knowledge graphs analyze relationships and inform decisions.

Clear AI explanations build trust and ensure responsible use in various fields.

A clear look at bivariate copulas and their role in modeling relationships between random variables.

Learn effective methods for testing auto-calibration in regression models for finance and insurance.

Guiding overall system behavior amidst uncertainty using advanced techniques.

A deep dive into the properties and applications of LSL copulas.

This article discusses a model for detecting sudden changes in trading activity.

This paper discusses methods for risk-averse decision-making using Markov Decision Processes.

Learn how to optimize effectively using biased information sources.

A new approach to managing financial portfolios through deep learning methods.

InvariantStock offers stable stock predictions in changing market conditions.

An overview of Hawkes processes and their relevance in various fields.

A distributed method for optimization in networked systems with infinite constraints.

TE-PWS enables precise evaluation of information flow in complex systems.

Exploring the significance of Brownian motion in various fields.

Learn how MoA enhances information quality and efficiency in financial analysis.

MarS leverages generative models to simulate realistic financial market scenarios.

A new model merges diffusion processes and transformers for better time series analysis.

A new approach enhances predictions of dynamic systems by incorporating memory.

Introducing an efficient method for creating more accurate confidence bands in simulations.

Analyzing cryptocurrency price movements and their future stability.

Examining how entropy regularization enhances decision-making in uncertain environments.

A look into how uncertainty shapes mathematical models.

Explore stationary-increment harmonizable stable processes and their applications in various fields.

Exploring new methods in event clustering analysis across various fields.

This paper discusses automated methods for transforming complex nonlinear optimization models into linear forms.

A model using weather derivatives helps Indian businesses manage climate-related risks.

Introducing a flexible model for estimating volatility across various fields.

This research presents a method to predict stock market volatility accurately.

A new algorithm enhances the creation of alpha factors for better investment insights.

This study analyzes price relationships among various cryptocoins to forecast trends.

New methods for solving stochastic control problems without derivatives using neural networks.

A look at the significance and applications of Dickman type processes.

Quantum machine learning enhances anomaly detection for improved security in various sectors.

A new method simplifies estimating connections between probability distributions.

Learn how kurtosis affects data behavior across various fields.

A look at CARMA processes and their simulation using tempered stable distributions.