Alternative Methods to Derive Option Pricing Models: Review and Comparison

Cheng Few Lee, Yibing Chen and John Lee

Chapter 15 in Handbook of Investment Analysis, Portfolio Management, and Financial Derivatives:In 4 Volumes, 2024, pp 527-571 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The main purposes of this paper are (i) to review three alternative methods for deriving option pricing models (OPM), (ii) to discuss the relationship between binomial OPM and Black–Scholes OPM, (iii) to compare the Cox et al. (1979) method and Rendleman and Bartter method for deriving Black–Scholes OPM, (iv) to discuss the lognormal distribution method to derive Black–Scholes OPM, and (v) to show how the Black–Scholes model can be derived by stochastic calculus.This chapter shows that the main methodologies used to derive the Black–Scholes model are binomial distribution, lognormal distribution, and differential and integral calculus. If we assume risk neutrality, then we don’t need stochastic calculus to derive the Black– Scholes model. However, the stochastic calculus approach for deriving the Black–Scholes model is still presented in Section 15.6. In sum, this chapter can help statisticians and mathematicians understand how alternative methods can be used to derive the Black– Scholes option model.

Keywords: Financial Accounting; Financial Auditing; Mutual Funds; Hedge Funds; Asset Pricing; Options; Portfolio Analysis; Risk Management; Investment Analysis; Momentum Analysis; Behavior Analysis; Futures; Index Futures; CDCs; Financial Econometrics; Statistics; Financial Derivatives; Financial Accounting (search for similar items in EconPapers)
JEL-codes: G1 G11 G12 G3 M41 M42 (search for similar items in EconPapers)
Date: 2024
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