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

Learning the Black-Scholes formula


The Black-Scholes formula was developed by Fischer Black and Myron Scholes in the 1970s. The Black-Scholes formula is a stochastic partial differential equation which estimates the price of an option. The main idea behind the formula is the delta neutral portfolio. They created the theoretical delta neutral portfolio to reduce the uncertainty involved.

This was a necessary step to be able to come to the analytical formula, which we'll cover in this section. The following are the assumptions made under the Black-Scholes formula:

  • No arbitrage

  • Possible to borrow money at a constant risk-free interest rate (throughout the holding of the option)

  • Possible to buy, sell, and shortlist fractional amounts of underlying assets

  • No transaction costs

  • Price of the underlying asset follows a Brownian motion, constant drift, and volatility

  • No dividends paid from underlying security

The simplest of the two variants is the one for call options. First, the stock price is scaled using...