In this chapter, we looked at option pricing in F# using the famous Black-Scholes formula together with the Monte Carlo method for European options. Once again, F# has proven itself powerful, and in numerical implementations, this is especially true. The code is almost identical to the mathematical functions, which makes it easy to implement without any extra ceremony needed. The lessons learned in this chapter will be used in the next chapter to dig deeper into options and volatility.
F# for Quantitative Finance
By :
F# for Quantitative Finance
By:
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
Free Chapter
Introducing F# Using Visual Studio
Learning More About F#
Financial Mathematics and Numerical Analysis
Getting Started with Data Visualization
Learning Option Pricing
Exploring Volatility
Getting Started with Order Types and Market Data
Setting Up the Trading System Project
Trading Volatility for Profit
Putting the Pieces Together
Index
Customer Reviews