Revealing the implied risk-neutral MGF from options: The wavelet method
Emmanuel Haven, Xiaoquan Liu, Chenghu Ma, Liya Sh
Journal of Economic Dynamics and Control
#002092 20131014 (published)
Options are believed to contain unique information on the risk-neutral moment generating function (MGF) or the risk-neutral probability density function (PDF) of the underlying asset. This paper applies the wavelet method to approximate the implied risk-neutral MGF from option prices. Monte Carlo simulations are carried out to show how the risk-neutral MGF can be obtained using the wavelet method. With the Black–Scholes model as the benchmark, we offer a novel method to reveal the implied MGF, and to price in-sample options and forecast out-of-sample option prices with the estimated MGF.
JEL-Codes: C02· C63· G13
Keywords: Wavelet analysis · Option pricing · Laplace transform

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