A method, system, and computer program product for determining stock option pricing in which the interplay of short-term interest rates and expected long-term rates of return on the underlying security results are factored to yield a more accurate forecast of options prices as compared to conventional models. The method of the present invention employs an expected long-term rate of return parameter and a conditional probability volatility parameter and an adjustment factor to address the put-call parity theorem which addresses the accuracy problems of the Black-Scholes model. The method can also be applied using a known current option prices to determine an assumed long-term rate of return.