Call options and probabilistic intuition - dependence on stock price
The "Why do we want options?" section should be enough to understand that the call price grows when the stock price increases. Here we look at a more technical (linked to probabilities) explanation of that fact.
Stock price as a stochastic process
The stock price is a stochastic process. That is, it depends on two variables: time and element of the sample space
,
.

Figure 1. Stock price distribution
If we fix time, we obtain a random variable whose density can be visualized as in Figure 1 (the element of the sample space is varying along the vertical line through


If we fix the element of the sample space, we obtain a function of time, which is a particular path that the stock price may follow. It looks much like a Brownian motion path that I downloaded from Google images, except that the stock price cannot be negative, see Figure 2.
Assumptions about stock behavior
The distribution in Figure 1 looks like normal. Normal distributions are not good for modeling stock prices because stock prices cannot be negative or very large. In our analysis we use triangular distributions, which are isosceles triangles with area equal to one. Without any knowledge about the company and its stock, the best guess that we can make about the mean of the stock price
Assumption 1. The distribution of


The result of this assumption is Figure 3, where the triangle ABC describes the density of
Influence of stock price on call price


In Figure 4 we compare two initial stock prices:


Figure 5 from Mathematica concludes this post. In that Figure, the strike price is assumed to be $50. The very low call price at stock prices below $20 is due to the fact that it is not very likely for the stock to become in the money if it starts that low.
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