Summary
In this chapter, we examined several techniques for using pandas to calculate the prices of options, their payoffs, and the profit and loss for the various combinations of calls and puts for both buyers and sellers. We started with a brief introduction to options, covered how to load current market data for options from Yahoo! Finance, and then examined the properties of the data retrieved from the web services.
We then examined the pricing of options using Black-Scholes with a brief explanation of how the algorithm models option prices. We also used the Mibian library to calculate prices using Black-Scholes. We finished with a brief explanation of the Greeks and how to calculate their values for various configurations of options.
In the next chapter, we will look at the modeling of investment portfolios using Python and pandas and how we can calculate optimal portfolios that balance risk and return for different investor types.
