Latest Articles for Finance

A look at how to learn from networks that evolve over time.

Innovative approaches enhance cointegration testing using optimization strategies.

Discover how machine learning improves investment decisions through better predictions.

A new method enhances the analysis of functional data by accounting for directionality.

A look into how Bitcoin users manage their balances and trading patterns.

Exploring how random walks distribute over time in uniform spaces.

Learn to optimize investment decisions by integrating expert advice into strategy.

A new method enhances anomaly detection by using synthetic examples.

A look at utility maximization considering transaction costs and pricing systems.

A look at the ICS technique for analyzing multivariate data.

Learn how POMDPs enhance decision-making in uncertain environments.

A framework for improving financial risk assessment and modeling accuracy.

Exploring behaviors of random walks in complex, random settings.

Improving multivariable state preparation using M-QSP for faster financial simulations.

This study analyzes how adverse fills affect trading outcomes in financial markets.

Explore methods to maintain accurate and reliable financial data.

New explanations consider feature relationships for clearer decision insights.

A look into stochastic volatility models and their impact on finance.

A look into methods for accurately estimating covariance matrix distances.

Examining the Heston model's effectiveness in pricing options and its applications in crude oil markets.

This article details numerical methods for approximating complex stochastic equations in nature and finance.

A new method for better table recognition in digital data processing.

GdVAE offers clear explanations for machine learning decisions, enhancing trust and accountability.

This model improves analysis of unevenly spaced time-based data across various fields.

An overview of stochastic measures, their properties, and applications in various fields.

A method to enhance machine learning models dealing with corrupted data.

A look at the similarities between financial and gambling markets.

A new approach to enhancing prediction accuracy amidst data uncertainty.

Examining the role of feature extraction in improving machine learning interpretability.

A look at stochastic processes and their role in managing uncertainty in various fields.

A new model for analyzing random events in various fields.

A new method enhances the handling of long, multi-dimensional time series data.

This study focuses on enhancing fraud detection methods through advanced technology.

New methods improve understanding of AI model predictions.

This study evaluates the effectiveness of Bidirectional Multivariate LSTM in stock prediction.

Learn key trading strategies in a competitive environment.

Introducing Conditional CRPS for improved predictions of interrelated outcomes.

This study examines how specific trade traits forecast future market prices.

Introducing an efficient way to estimate variance in ever-changing systems.

A new model optimizes earnings data for better stock price forecasting.