Shadowing the Market: A Guide to Index Tracking

This review examines the diverse strategies used to replicate financial indexes, offering a critical comparison of traditional and modern approaches.

This review examines the diverse strategies used to replicate financial indexes, offering a critical comparison of traditional and modern approaches.

As artificial intelligence writing tools become increasingly sophisticated, accurately identifying AI-generated text is a growing challenge.

New research details how natural language processing can systematically analyze financial narratives to understand their influence on market dynamics.

A new simulation framework uses AI-powered agents to model how news spreads online, offering a powerful approach to detect misinformation early.
A new deep learning approach combines the power of Vision Mamba and guided graph neural networks to precisely locate alterations in both subtly and heavily manipulated images.

Researchers have developed a framework that combines statistical methods with the power of large language models to automatically detect and explain changes in data over time.

Researchers have developed a novel framework that uses the power of large language models and reinforcement learning to identify manipulated audio across a wider range of scenarios.

A novel hybrid deep learning method is improving the accuracy and efficiency of day-ahead electricity price forecasting across European markets.

Researchers have developed a new framework for creating realistic and privacy-preserving financial transaction data, unlocking opportunities for innovation and analysis.
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A new approach to automated advertising bidding leverages generative models and Q-value regularization to learn optimal strategies from existing data.