Latest Articles for Finance

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.

New approach improves regression estimates by effectively handling outliers linked to variables.

A new system enhances bug detection in smart contracts.

Examining fairness issues in transaction fraud detection systems.

A look into decision-making tools for uncertain financial systems.

Discover how truncated stop loss contracts help insurers manage risks efficiently.

This article discusses deep learning methods for solving optimal stopping problems in financial options.

Software uses machine learning for accurate cryptocoins price predictions.

A study on how economic conditions impact yield curve behavior using a new model.

This article discusses how covariance matrices impact complex system behavior over time.

Introducing an improved approach for tackling stochastic optimization problems with constraints.

A new model improves risk assessment in finance using advanced techniques.

Exploring correlations and dynamics in chaotic systems with neutral centers.

A new method combining LLMs and multi-agent systems improves stock investment strategies.

A fresh approach to understanding price movements in financial markets.

This article explores periodic solutions in McKean-Vlasov stochastic differential equations.

A new method for estimating true distributions from noisy streaming data.

Exploring the roles of tensors and random walks in data science.

An effective method for approximating complex diffusion behaviors in various fields.

Analyzing how positive news affects company stock prices and their networks.