Abstract
This paper presents Crank-Nicolson (CN)
analysis for valuation of options. This particular method solves Black-Scholes
(BS) partial differential equation (PDE) by means of numerical solutions for
pricing options. The deviation values were derived from BS analytical
solutions, adopting certain criteria using three standard deviations as a
measure for pricing effects. Results showed when options are overpriced,
underpriced as well as no-mispricing this is in line with theoretical
predictions and significant improvement over previous efforts. In the same
scenario, a non-parametric test discovered by Kolmogorov-Smirnov (KS) was
performed; the test revealed that there exist a statistically difference
between distributions of BS and CN. Also, the initial stock prices of
no-mispricing were compared and it was seen that initial stock prices of 70 and
40 are the best for call and put options. The work presented here has profound
implication for future studies of option prices and may one day help solve the
problems of option traders.
Keywords: Crank-Nicolson, Option pricing, Mispricing effects, B-S PDE
and Standard Deviation.