Science

A novel hybrid approach combines the strengths of established financial modeling with the power of neural networks to deliver more accurate and stable implied volatility surfaces.

A new framework combines the power of deep learning with established actuarial principles to improve the accuracy and interpretability of longevity forecasts.

A new framework aims to proactively identify and mitigate risks across the rapidly evolving landscape of decentralized finance.

This review examines the growing use of artificial intelligence in stock price forecasting, with a focus on the unique challenges faced by professional investment firms.

New research reveals that environmental, social, and governance factors function more like crash insurance than consistent performance boosters.

A new framework uses machine learning to model the evolving probabilities that govern financial time series, offering insights into changing market regimes.

New research shows that understanding the nuanced opinions behind investor posts, not just positive or negative sentiment, is key to more accurate financial forecasting.

Researchers are pushing the boundaries of artificial intelligence to build models that don’t just predict market movements, but also explain the reasoning behind those predictions.

A new study reveals that directly analyzing raw candlestick charts with simple convolutional neural networks can outperform more sophisticated approaches to predicting cryptocurrency market shifts.

A new approach to cybersecurity leverages the power of artificial intelligence to proactively protect financial institutions from increasingly sophisticated threats.