Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Free Learning

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python , Second Edition

James Ma Weiming

NZ$35.99 ~~NZ$51.99~~

2.9 (8 Ratings)

eBook Apr 2019 426 pages 2nd Edition

eBook

NZ$35.99 ~~NZ$51.99~~

James Ma Weiming

NZ$35.99 ~~NZ$51.99~~

2.9 (8 Ratings)

eBook Apr 2019 426 pages 2nd Edition

eBook

NZ$35.99 ~~NZ$51.99~~

NZ$35.99 ~~NZ$51.99~~

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

View table of contents

Preview Book

Download Code

Key benefits

Explore advanced financial models used by the industry and ways of solving them using Python
Build state-of-the-art infrastructure for modeling, visualization, trading, and more
Empower your financial applications by applying machine learning and deep learning

Description

The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.

Who is this book for?

If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.

What you will learn

Solve linear and nonlinear models representing various financial problems
Perform principal component analysis on the DOW index and its components
Analyze, predict, and forecast stationary and non-stationary time series processes
Create an event-driven backtesting tool and measure your strategies
Build a high-frequency algorithmic trading platform with Python
Replicate the CBOT VIX index with SPX options for studying VIX-based strategies
Perform regression-based and classification-based machine learning tasks for prediction
Use TensorFlow and Keras in deep learning neural network architecture

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

Product Details

Publication date : Apr 30, 2019

Length: 426 pages

Edition : 2nd

Language : English

ISBN-13 : 9781789345278

Category :

Data

Languages :

Python

Concepts :

Financial Technology

Tools :

TensorFlow

Frequently bought together

Mastering Python for Finance

Apr 2019 426 pages

2.9 (8)

eBook

NZ$35.99 ~~NZ$51.99~~

Learn Algorithmic Trading

Nov 2019 394 pages

3.8 (10)

eBook

NZ$39.99 ~~NZ$57.99~~

Python for Finance Cookbook

Jan 2020 432 pages

4.2 (6)

eBook

NZ$35.99 ~~NZ$51.99~~

Total NZ$ 201.97

NZ$64.99

NZ$71.99

NZ$64.99

Total NZ$ 201.97

15 Chapters

Section 1: Getting Started with Python

Overview of Financial Analysis with Python

Getting Python

Introduction to Quandl

Plotting a time series chart

Performing financial analytics on time series data

Summary

Section 2: Financial Concepts

The Importance of Linearity in Finance

The Capital Asset Pricing Model and the security market line

The Arbitrage Pricing Theory model

Multivariate linear regression of factor models

Linear optimization

Solving linear equations using matrices

The LU decomposition

The Cholesky decomposition

The QR decomposition

Solving with other matrix algebra methods

Summary

Nonlinearity in Finance

Nonlinearity modeling

Root-finding algorithms

SciPy implementations in root-finding

Summary

Numerical Methods for Pricing Options

Introduction to options

Binomial trees in option pricing

Pricing European options

Writing the StockOption base class

The Greeks for free

Trinomial trees in option pricing

Lattices in option pricing

Finite differences in option pricing

Putting it all together – implied volatility modeling

Summary

Modeling Interest Rates and Derivatives

Fixed-income securities

Yield curves

Valuing a zero-coupon bond

Bootstrapping a yield curve

Forward rates

Calculating the yield to maturity

Calculating the price of a bond

Pricing a callable bond option

Summary

Statistical Analysis of Time Series Data

The Dow Jones industrial average and its 30 components

Applying a kernel PCA

Stationary and non-stationary time series

The Augmented Dickey-Fuller Test

Analyzing a time series with trends

Making a time series stationary

Forecasting and predicting a time series

Summary

Section 3: A Hands-On Approach

Interactive Financial Analytics with the VIX

Volatility derivatives

Financial analytics of the S&P 500 and the VIX

Calculating the VIX Index

Summary

Building an Algorithmic Trading Platform

Introducing algorithmic trading

Building an algorithmic trading platform

Building a mean-reverting algorithmic trading system

Building a trend-following trading platform

VaR for risk management

Summary

Implementing a Backtesting System

Introducing backtesting

Designing and implementing a backtesting system

Ten considerations for a backtesting model

Discussion of algorithms in backtesting

Summary

Machine Learning for Finance

Introduction to machine learning

Predicting prices with a single-asset regression model

Predicting returns with a cross-asset momentum model

Predicting trends with classification-based machine learning

Conclusion on the use of machine learning algorithms

Summary

Deep Learning for Finance

A brief introduction to deep learning

A deep learning price prediction model with TensorFlow

Credit card payment default prediction with Keras

Summary

Other Books You May Enjoy

Leave a review - let other readers know what you think

Recommendations for you

Coding with ChatGPT and Other LLMs

Nov 2024 304 pages

eBook

Python Machine Learning By Example

Jul 2024 518 pages

4.9 (8)

eBook

NZ$36.99 ~~NZ$53.99~~

Unlocking Data with Generative AI and RAG

Sep 2024 346 pages

eBook

NZ$31.99 ~~NZ$46.99~~

AI-Assisted Programming for Web and Machine Learning

Aug 2024 602 pages

4.9 (9)

eBook

NZ$38.99 ~~NZ$56.99~~

Python for Algorithmic Trading Cookbook

Aug 2024 404 pages

4.6 (15)

eBook

NZ$48.99 ~~NZ$70.99~~

Building LLM Powered Applications

May 2024 342 pages

4.2 (22)

eBook

NZ$40.99 ~~NZ$58.99~~

Machine Learning with PyTorch and Scikit-Learn

Feb 2022 774 pages

4.4 (95)

eBook

NZ$44.99 ~~NZ$64.99~~

RAG-Driven Generative AI

Sep 2024 334 pages

4.5 (13)

eBook

NZ$35.99 ~~NZ$51.99~~

Hands-On Reinforcement Learning with Python

Jun 2018 318 pages

2.6 (18)

eBook

NZ$31.99 ~~NZ$45.99~~

LLM Engineer's Handbook

Oct 2024 522 pages

4.8 (13)

eBook

NZ$70.99

People who bought this also bought

Machine Learning Engineering with Python

Aug 2023 462 pages

4.6 (36)

eBook

NZ$40.99 ~~NZ$58.99~~

Deep Learning with TensorFlow and Keras – 3rd edition

Oct 2022 698 pages

4.6 (45)

eBook

NZ$40.99 ~~NZ$58.99~~

Modern Generative AI with ChatGPT and OpenAI Models

May 2023 286 pages

4.2 (34)

eBook

NZ$40.99 ~~NZ$58.99~~

Generative AI with LangChain

Dec 2023 368 pages

4 (34)

eBook

NZ$40.99 ~~NZ$58.99~~

Causal Inference and Discovery in Python

May 2023 456 pages

4.5 (49)

eBook

NZ$31.99 ~~NZ$46.99~~

About the author

James Ma Weiming

James Ma Weiming is a software engineer based in Singapore. His studies and research are focused on financial technology, machine learning, data sciences, and computational finance. James started his career in financial services working with treasury fixed income and foreign exchange products, and fund distribution. His interests in derivatives led him to Chicago, where he worked with veteran traders of the Chicago Board of Trade to devise high-frequency, low-latency strategies to game the market. He holds an MS degree in finance from Illinois Tech's Stuart School of Business in the United States and a bachelor's degree in computer engineering from Nanyang Technological University.

See other products by James Ma Weiming

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.

Mastering Python for Finance: Implement advanced state-of-the-art financial statistical applications using Python , Second Edition

What do you get with eBook?