What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Description

A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.

What you will learn

Build a financial calculator based on Python

Learn how to price various types of options such as European, American, average, lookback, and barrier options

Write Python programs to download data from Yahoo! Finance

Estimate returns and convert daily returns into monthly or annual returns

Form an nstock portfolio and estimate its variancecovariance matrix

Estimate VaR (Value at Risk) for a stock or portfolio

Run CAPM (Capital Asset Pricing Model) and the FamaFrench 3factor model

Learn how to optimize a portfolio and draw an efficient frontier

Conduct various statistic tests such as Ttests, Ftests, and normality tests

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Can$73.99

Can$64.99

Introduction to R for Quantitative Finance

Can$58.99

Total Can$ 197.97

FAQs

How do I buy and download an eBook?

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else

How can I make a purchase on your website?

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)

Where can I access support around an eBook?

If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us

What eBook formats do Packt support?

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks?

You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space

What is an eBook?

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

Filter reviews by

All

Amazon verified reviews

Amazon Customer Aug 26, 2014

This book is a five star. It is a good book, it explains a lot about the concept in finance and python. If you are into learning python and finance, this is a good book for you. This book is more for beginners or intermediate. If you know a lot about about python or about finance, you should not get this book. I would recommend this book for finance major and people that want to learn about python. Since I have finish reading this book, I was able to learn how to code on my own. This book had help some of my finance classes.

Amazon Verified review

Jamie Jul 06, 2018

I bought this eBook (with source code) from Packt. Great intro to Finance using Python. Chapter 10 and 12 are especially helpful as an addition to Hull's Options, Futures and Other Derivatives.

Luis Cuellar Jun 02, 2014

I am a systems engineer but have not program for a long time, and I am very interested in finance so I have been studying finance for the past months.For me this book is perfect, it teaches you python witch to me is a very powerful language witch you can learn fast and do very sophisticated things. and it teaches it with a very specific focus witch is applying it to Financial problems.The examples of the book are very well done, and helps ground your financial knowledge by programming the examples.The book takes you from installing the language to complicated graphical and mathematical solutions. The examples are well written and to the point.The only negative I find is the book assumes you know finance, so it is a programming book more that a financial book. But for me that was just fine.

Red'D, Vijayawada Sep 16, 2018

Good book

Nemo Aug 10, 2014

First of all this is not an in-depth python book or an in-depth finance book. So if you are looking for something with a strong technical bent on python or finance this is not it.It is, however, a great read if you are familiar with doing a lot of finance in another language like R and want to transition to python. With bloomberg providing a python API and C++ still being a real pain the rear this is a good way for more "analyst" types to become much more fluent and competent using a vastly more flexible language. It is not mega detailed - basically a "crash through" approach to doing a bit of python and doing it quickly. This is by no means a standalone solution to anything.The best use of this book is in conjunction with something more rigorous for finance and python. Aside from that it could be put to good use in an undergrad finance class so that instead of messing around in excel people actually learn a bit of code that they can build on later.

Python for Finance: If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.

What do you get with eBook?