• Media type: E-Book
  • Title: Risk Minimization in Stochastic Volatility Models : Model Risk and Empirical Performance
  • Contributor: Poulsen, Rolf [Author]; Schenk-Hoppé, Klaus Reiner [Other]; Ewald, Christian-Oliver [Other]
  • Published: [S.l.]: SSRN, [2007]
  • Published in: FINRISK Working Paper ; No. 361
  • Extent: 1 Online-Ressource (23 p)
  • Language: Without Specification
  • DOI: 10.2139/ssrn.964739
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 2007 erstellt
  • Description: In this paper the performance of locally risk-minimizing hedge strategies for European options in stochastic volatility models is studied from an experimental as well as from an empirical perspective. These hedge strategies are derived for a large class of diffusion-type stochastic volatility models, and they are as easy to implement as usual delta hedges. Our simulation results on model risk show that the locally risk-minimizing hedges are robust with respect to uncertainty and even misconceptions about the underlying data generating process. The empirical study indicates that locally risk-minimizing hedge strategies consistently produce lower standard deviations of profit-and-loss-ratios than delta hedges (over different time periods as well as in different markets). The more skewed the market and the more out-of-the-money the option, the higher the benefit
  • Access State: Open Access