Neural Networks in Finance

Neural Networks in Finance by Paul D. McNelis is a practical guide that explores how neural networks can be applied to financial data analysis and forecasting. The book blends theory with hands-on examples, showing how neural networks can be used for tasks such as risk management, option pricing, and financial market prediction. It is particularly useful for finance professionals and researchers who want to integrate advanced machine learning techniques into their quantitative models.