Functional quantization of rough volatility and applications to volatility derivatives

Autor: Bonesini, Ofelia, Callegaro, Giorgia, Jacquier, Antoine
Rok vydání: 2021
Předmět:
Zdroj: Quantitative Finance, 23:12, 1769-1792 (2023)
Druh dokumentu: Working Paper
Popis: We develop a product functional quantization of rough volatility. Since the quantizers can be computed offline, this new technique, built on the insightful works by Luschgy and Pages, becomes a strong competitor in the new arena of numerical tools for rough volatility. We concentrate our numerical analysis to pricing VIX Futures in the rough Bergomi model and compare our results to other recently suggested benchmarks.
Databáze: arXiv