Local volatility under rough volatility
Florian Bourgey, Stefano De Marco, Peter K. Friz, Paolo Pigato

TL;DR
This paper investigates the asymptotic behavior of the local volatility surface generated by rough stochastic volatility models, revealing a new relationship between implied and local volatility skews that depends on the roughness parameter H.
Contribution
It extends existing asymptotic results to local volatility surfaces in rough volatility models, introducing a new skew ratio rule dependent on the regularity index H.
Findings
The local volatility skew ratio tends to 1/(H + 3/2) as maturity approaches zero.
The classical 1/2 skew rule is replaced by a new rule involving the roughness index H.
The results encompass the rough Bergomi model and generalize the harmonic mean formula.
Abstract
Several asymptotic results for the implied volatility generated by a rough volatility model have been obtained in recent years (notably in the small-maturity regime), providing a better understanding of the shapes of the volatility surface induced by rough volatility models, and supporting their calibration power to S&P500 option data. Rough volatility models also generate a local volatility surface, via the so-called Markovian projection of the stochastic volatility. We complement the existing results on the implied volatility by studying the asymptotic behavior of the local volatility surface generated by a class of rough stochastic volatility models, encompassing the rough Bergomi model. Notably, we observe that the celebrated "1/2 skew rule" linking the short-term at-the-money skew of the implied volatility to the short-term at-the-money skew of the local volatility, a consequence…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
