Chapter 10. Python Loops and Implied Volatility

In this chapter, we will study two topics: loops and implied volatility based on the European options (Black-Scholes-Merton option model) and American options. For the first topic, we have the for loop and while loop, the two most used loops. After presenting the definition of the implied volatility and explaining the logic behind it, we discuss three ways for its estimation: based on a for loop, on a while loop, and on a binary search. A binary search is the most efficient way to find a solution in such cases. However, the precondition to apply a binary search is that the objective function is monotone increasing or decreasing function of our target estimate. Fortunately, this is true since the value of an option price is an increasing function of the volatility.

In particular, we will cover the following topics:

• What is an implied volatility?
• Logic behind the estimation of an implied volatility
• Understanding the for loop, while loop...