Science

New research explores whether artificial neural networks trained on different stock indexes can identify shared patterns, offering insights into market efficiency.

Researchers are leveraging the power of diffusion models to more accurately predict implied volatility surfaces, offering improved risk management and option pricing capabilities.

A new web application leverages artificial intelligence to automate data analysis, making complex datasets more accessible and understandable.

A new approach combines generative artificial intelligence with causal graphs to accurately forecast how people will react to different scenarios and interventions.

New algorithms combine deep learning with game theory to achieve faster, more efficient play in complex, imperfect-information scenarios.

A systematic strategy combining trend following and rigorous risk management unlocks substantial, out-of-sample returns in gold markets.

This study demonstrates how advanced machine learning techniques can effectively identify illicit trading activity, enhancing financial market surveillance.

An autonomous AI agent, AlphaResearch, is pushing the boundaries of algorithm discovery by generating, testing, and refining code with minimal human intervention.

A new artificial intelligence, trained through self-play and strategic search, has achieved superhuman performance in the classic game of imperfect information.

A novel approach to imitation learning tackles the challenges of learning from previously collected data, dramatically improving sample efficiency.