Local volatility under rough volatility

被引:2
作者
Bourgey, Florian [1 ,2 ]
De Marco, Stefano [1 ]
Friz, Peter K. [3 ,4 ]
Pigato, Paolo [5 ]
机构
[1] Ecole Polytech, Inst Polytech Paris, CMAP, CNRS, Paris, France
[2] Bloomberg LP, Quantitat Res, New York, NY USA
[3] Tech Univ Berlin, Berlin, Germany
[4] Weierstr Inst, Berlin, Germany
[5] Univ Roma Tor Vergata, Dept Econ & Finance, Rome, Italy
基金
欧洲研究理事会;
关键词
THE-MONEY SKEW; IMPLIED VOLATILITY; ASYMPTOTICS; MIMICKING;
D O I
10.1111/mafi.12392
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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, supporting their calibration power to SP500 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 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 of the celebrated "harmonic mean formula" of [Berestycki et al. (2002). Quantitative Finance, 2, 61-69], is replaced by a new rule: the ratio of the at-the-money implied and local volatility skews tends to the constant 1/(H+3/2)$1/(H + 3/2)$ (as opposed to the constant 1/2), where H is the regularity index of the underlying instantaneous volatility process.
引用
收藏
页码:1119 / 1145
页数:27
相关论文
共 63 条
[31]  
FRIZ P. K., 2020, A course on rough paths, DOI DOI 10.1007/978-3-030-41556-3
[32]  
Friz P. K., 2021, STEP STOCHASTIC VOLA
[33]   Short-dated smile under rough volatility: asymptotics and numerics [J].
Friz, Peter K. ;
Gassiat, Paul ;
Pigato, Paolo .
QUANTITATIVE FINANCE, 2022, 22 (03) :463-480
[34]   How to make Dupire's local volatility work with jumps [J].
Friz, Peter K. ;
Gerhold, Stefan ;
Yor, Marc .
QUANTITATIVE FINANCE, 2014, 14 (08) :1327-1331
[35]  
Friz PK, 2015, SPRINGER P MATH STAT, V110, P1, DOI 10.1007/978-3-319-11605-1
[36]   Consistent estimation for fractional stochastic volatility model under high-frequency asymptotics [J].
Fukasawa, Masaaki ;
Takabatake, Tetsuya ;
Westphal, Rebecca .
MATHEMATICAL FINANCE, 2022, 32 (04) :1086-1132
[37]   Volatility has to be rough [J].
Fukasawa, Masaaki .
QUANTITATIVE FINANCE, 2021, 21 (01) :1-8
[38]   Short-time at-the-money skew and rough fractional volatility [J].
Fukasawa, Masaaki .
QUANTITATIVE FINANCE, 2017, 17 (02) :189-198
[39]   Asymptotic analysis for stochastic volatility: martingale expansion [J].
Fukasawa, Masaaki .
FINANCE AND STOCHASTICS, 2011, 15 (04) :635-654
[40]  
Gassiat P, 2023, Arxiv, DOI arXiv:2203.09298