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 relative value trading strategies


Relative value volatility trading refers to trading volatility using opposite legs of some financial instruments, such as options, to take advantage of the movement in volatility. Usually, one would initiate a trade with a long call and a short call, forming a two-legged trade. There are a lot of variations to these types of trades, and we will mainly look at trading the slope of the volatility smile using options. This will form the basis of the trading strategy used in this book.

Trading the slope of the smile

First, we'll recap Chapter 6, Exploring Volatility, where we looked at the smile effect for options on the OMX exchange in Sweden. The volatility smile is a phenomenon observed in stock markets. The smile is obtained by plotting the implied volatility from the options on the y axis and moneyness on the x axis.

Moneyness is the ratio between the spot price of the underlying asset, S, and the strike price of the option, K:

In the following screenshot...