• Media type: E-Book
  • Title: Revealing the Implied Risk-Neutral MGF with the Wavelet Method
  • Contributor: Haven, Emmanuel [Author]; Liu, Xiaoquan [Other]; Ma, Chenghu [Other]; Shen, Liya [Other]
  • imprint: [S.l.]: SSRN, [2011]
  • Extent: 1 Online-Ressource (42 p)
  • Language: Not determined
  • Origination:
  • Footnote: In: Journal of Economic Dynamics and Control, Vol. 33, 2008
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 26, 2007 erstellt
  • Description: Options are believed to contain unique information about the risk-neutral moment generating function (MGF hereafter) or the risk-neutral probability density function (PDF hereafter). This paper applies the wavelet method to approximate the risk-neutral MGF of the underlying asset from option prices. Monte Carlo simulation experiments are performed to elaborate how the risk-neutral MGF can be obtained using the wavelet method. The Black-Scholes model is chosen as the benchmark model. We offer a novel method for obtaining the implied risk-neutral MGF for pricing out-of-sample options and other complex or illiquid derivative claims on the underlying asset using information obtained from simulated data
  • Access State: Open Access