Estimating the Hurst parameter from the zero vanna implied volatility and its dual
By: Elisa Alos, Frido Rolloos, Kenichiro Shiraya
Potential Business Impact:
Helps predict stock price changes more accurately.
The covariance between the return of an asset and its realized volatility can be approximated as the difference between two specific implied volatilities. In this paper it is proved that in the small time-to-maturity limit the approximation error tends to zero. In addition a direct relation between the short time-to-maturity covariance and slope of the at-the-money implied volatility is established. The limit theorems are valid for stochastic volatility models with Hurst parameter $H \in(0, 1)$. An application of the results is to accurately approximate the Hurst parameter using only a discrete set of implied volatilities. Numerical examples under the rough Bergomi model are presented.
Similar Papers
Estimating the Hurst parameter from the zero vanna implied volatility and its dual
Mathematical Finance
Predicts stock price changes using market hints.
On the rate of convergence of estimating the Hurst parameter of rough stochastic volatility models
Statistical Finance
Helps measure rough stock price changes better.
On the rate of convergence of estimating the Hurst parameter of rough stochastic volatility models
Statistical Finance
Estimates how rough a signal is, even when changed.