Risk-Neutrality of RND and Option Pricing within an Entropy Framework

Autor: Xisheng Yu
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Entropy, Vol 22, Iss 8, p 836 (2020)
Druh dokumentu: article
ISSN: 1099-4300
DOI: 10.3390/e22080836
Popis: This article constructs an entropy pricing framework by incorporating a set of informative risk-neutral moments (RNMs) extracted from the market-available options as constraints. Within the RNM-constrained entropic framework, a unique distribution close enough to the correct one is obtained, and its risk-neutrality is deeply verified based on simulations. Using this resultant risk-neutral distribution (RND), a sample of risk-neutral paths of the underlying price is generated and ultimately the European option’s prices are computed. The pricing performance and analysis in simulations demonstrate that this proposed valuation is comparable to the benchmarks and can produce fairly accurate prices for options.
Databáze: Directory of Open Access Journals