Seminar: Challenges in Using Machine Learning for Rough Volatility Models
Seminar: Challenges in Using Machine Learning for Rough Volatility Models
Speaker: Dan Leonte, Postdoctoral Research Fellow, KAUST Abstract: Since the seminal work of Gatheral, Jaisson, and Rosenbaum (2014), it has become widely accepted that volatility in derivatives markets exhibits rough behavior. Numerical methods for rough volatility models are often difficult to stabilize and scale to large volatility smile surfaces. In addition, calibration to volatility surfaces, […]