Deep margin: Neural SPAN 2 approximation for real- time risk management

This paper introduces a deep learning-based approach to approximating SPAN 2 margin calculations, enabling faster and more scalable real-time risk management. It outlines the model architecture, training methodology, and performance benchmarks, with practical applications for intraday margin forecasting and risk monitoring.