Evaluates the variance of the price distribution in accordance with the Black-Scholes model at some given future point in time.
The expected variance (in decimal format) of the price distribution in accordance with the Black-Scholes model at a given future point in time.
Note that the expected (future) volatility in accordance with the Black-Scholes model at the point considered is just the square root of the variance.
Before this method is called you must have set the following:
What is the variance of the price distribution of a stock in one year in accordance with the Black-Scholes model when the initial price on 4th January 2006, of the stock is 20 dollars, the expected return is 20 percent per year, with a volatility of 40 percent per year?
initialPrice = 20expectedReturn = 0.20volatility = 0.40startDate = 4/1/2006endDate = 4/1/2007By calling this method using the above parameters you will find that the variance of the price distribution of the asset on 4th January 2007, considered in accordance with the Black-Scholes model is: 103.5391. Moreover, the expected volatility of the stock in one year in accordance with the Black-Scholes model is: (103.5391)0.5 = 10.18 percent per year.
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