A modification term for Black-Scholes model based on discrepancy calibrated with real market data

Autor: Xiaozheng Lin, Meiqing Wang, Choi-Hong Lai
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Data Science in Finance and Economics, Vol 1, Iss 4, Pp 313-326 (2021)
Druh dokumentu: article
ISSN: 2769-2140
DOI: 10.3934/DSFE.2021017?viewType=HTML
Popis: The Black-Scholes option pricing model (B-S model) generally requires the assumption that the volatility of the underlying asset be a piecewise constant. However, empirical analysis shows that there are discrepancies between the option prices obtained from the B-S model and the market prices. Most current modifications to the B-S model rely on modelling the implied volatility or interest rate. In contrast to the existing modifications to the Black-Scholes model, this paper proposes the concept of including a modification term to the B-S model itself. Using the actual discrepancies of the results of the Black-Scholes model and the market prices, the modification term related to the implied volatility is derived. Experimental results show that the modified model produces a better option pricing results when compare to market data.
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