Book Image

F# for Quantitative Finance

By : Johan Astborg
Book Image

F# for Quantitative Finance

By: Johan Astborg

Overview of this book

F# is a functional programming language that allows you to write simple code for complex problems. Currently, it is most commonly used in the financial sector. Quantitative finance makes heavy use of mathematics to model various parts of finance in the real world. If you are interested in using F# for your day-to-day work or research in quantitative finance, this book is a must-have.This book will cover everything you need to know about using functional programming for quantitative finance. Using a functional programming language will enable you to concentrate more on the problem itself rather than implementation details. Tutorials and snippets are summarized into an automated trading system throughout the book.This book will introduce you to F#, using Visual Studio, and provide examples with functional programming and finance combined. The book also covers topics such as downloading, visualizing and calculating statistics from data. F# is a first class programming language for the financial domain.
Table of Contents (17 chapters)
F# for Quantitative Finance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Solving for implied volatility


Next we'll use a method for solving for implied volatility for European options. This can be done by numerically solving for the root using the bisection method.

To be able to understand why we use the bisection solver to find the root of the Black-Scholes equation, we need some tools. First we recapture the definition of the call and put price as a function of the estimated volatility and a set of parameters (denoted):

To extract the implied volatility, we need an inverse function of the Black-Scholes formula. Unfortunately, there is no analytical inverse of that function. Instead, we can say that the Black-Scholes formula, with the implied volatility minus the current market price of that option, has a call option in this case of zero. Following is the current market price for the call option studied in this section:

This enables us to use a numerical root solver to find the implied volatility. Following is an implementation of the bisection solver in F#. We...