Optimal Hedging Under Fast-Varying Stochastic Volatility

被引:2
|
作者
Garnier, Josselin [1 ]
Solna, Knut [2 ]
机构
[1] Ecole Polytech, Ctr Math Appliquees, F-91128 Palaiseau, France
[2] Univ Calif Irvine, Dept Math, Irvine, CA 92697 USA
来源
SIAM JOURNAL ON FINANCIAL MATHEMATICS | 2020年 / 11卷 / 01期
关键词
stochastic volatility; rough volatility; hedging; risk quantification; OPTIMAL PORTFOLIO;
D O I
10.1137/18M1221655
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In a market with a rough or Markovian mean-reverting stochastic volatility there is no perfect hedge. Here it is shown how various delta-type hedging strategies perform and can be evaluated in such markets in the case of European options. A precise characterization of the hedging cost, the replication cost caused by the volatility fluctuations, is presented in an asymptotic regime of rapid mean reversion for the volatility fluctuations. The optimal dynamic asset based hedging strategy in the considered regime is identified as the so-called practitioners' delta hedging scheme. It is moreover shown that the performances of the delta-type hedging schemes are essentially independent of the regularity of the volatility paths in the considered regime and that the hedging costs are related to a Vega risk martingale whose magnitude is proportional to a new market risk parameter. It is also shown via numerical simulations that the proposed hedging schemes which derive from option price approximations in the regime of rapid mean reversion are robust: the practitioners' delta hedging scheme that is identified as being optimal by our asymptotic analysis when the mean reversion time is small seems to be optimal with arbitrary mean reversion times.
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页码:274 / 325
页数:52
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