• Media type: E-Article
  • Title: Nonparametric Malliavin-Monte Carlo computation of hedging Greeks
  • Contributor: Mancino, Maria Elvira [Author]; Sanfelici, Simona [Author]
  • Published: Basel: MDPI, 2020
  • Language: English
  • DOI: https://doi.org/10.3390/risks8040120
  • ISSN: 2227-9091
  • Keywords: risk management ; fourier analysis ; Malliavin calculus ; price-volatility feedback rate ; Delta hedging ; nonparametric estimation ; Monte Carlo simulation
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: We propose a way to compute the hedging Delta using the Malliavin weight method. Our approach, which we name the l-method, generally outperforms the standard Monte Carlo finite difference method, especially for discontinuous payoffs. Furthermore, our approach is nonparametric, as we only assume a general local volatility model and we substitute the volatility and the other processes involved in the Greek formula with quantities that can be nonparametrically estimated from a given time series of observed prices.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)