TY - JOUR
T1 - Option Pricing with the Logistic Return Distribution
AU - Levy, Haim
AU - Levy, Moshe
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/2
Y1 - 2024/2
N2 - The Black–Scholes model and many of its extensions imply a log-normal distribution of stock total returns over any finite holding period. However, for a holding period of up to one year, empirical stock return distributions (both conditional and unconditional) are not log-normal, but rather much closer to the logistic distribution. This paper derives analytic option pricing formulas for an underlying asset with a logistic return distribution. These formulas are simple and elegant and employ exactly the same parameters as B&S. The logistic option pricing formula fits empirical option prices much better than B&S, providing explanatory power comparable to much more complex models with a larger number of parameters.
AB - The Black–Scholes model and many of its extensions imply a log-normal distribution of stock total returns over any finite holding period. However, for a holding period of up to one year, empirical stock return distributions (both conditional and unconditional) are not log-normal, but rather much closer to the logistic distribution. This paper derives analytic option pricing formulas for an underlying asset with a logistic return distribution. These formulas are simple and elegant and employ exactly the same parameters as B&S. The logistic option pricing formula fits empirical option prices much better than B&S, providing explanatory power comparable to much more complex models with a larger number of parameters.
KW - distribution of returns
KW - holding period
KW - logistic distribution
KW - option pricing
UR - http://www.scopus.com/inward/record.url?scp=85187274654&partnerID=8YFLogxK
U2 - 10.3390/jrfm17020067
DO - 10.3390/jrfm17020067
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AN - SCOPUS:85187274654
SN - 1911-8066
VL - 17
JO - Journal of Risk and Financial Management
JF - Journal of Risk and Financial Management
IS - 2
M1 - 67
ER -