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Mastering Python for Finance

You're reading from   Mastering Python for Finance Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784394516
Length 340 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Python for Financial Applications FREE CHAPTER 2. The Importance of Linearity in Finance 3. Nonlinearity in Finance 4. Numerical Procedures 5. Interest Rates and Derivatives 6. Interactive Financial Analytics with Python and VSTOXX 7. Big Data with Python 8. Algorithmic Trading 9. Backtesting 10. Excel with Python Index

Introduction to options


An option is a derivative of an asset that gives an owner the right but not the obligation to transact the underlying asset at a certain date for a certain price, known as the maturity date and strike price respectively.

A call option gives the buyer the right to buy an asset by a certain date for a certain price. A seller or writer of a call option is obligated to sell the underlying security to the buyer at the agreed price, should the buyer exercise his/her rights on the agreed date. A put option gives the buyer the right to sell the underlying asset by a certain date for a certain price. A seller or writer of a put option is obligated to buy the underlying security from the buyer at the agreed price, should the buyer exercise his/her rights on the agreed date.

The most common options available are the European options and American options. Other exotic options include Bermudan options and Asian options. This chapter will deal mainly with European and American...

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