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Python for Finance Cookbook

You're reading from Python for Finance Cookbook Over 50 recipes for applying modern Python libraries to financial data analysis

Product type Paperback

Published in Jan 2020

Publisher Packt

ISBN-13 9781789618518

Length 432 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Data Analysis

Author (1):

Eryk Lewinson

View More author details

Table of Contents (12) Chapters

Preface

1. Financial Data and Preprocessing

2. Technical Analysis in Python FREE CHAPTER

3. Time Series Modeling

4. Multi-Factor Models

5. Modeling Volatility with GARCH Class Models

6. Monte Carlo Simulations in Finance

7. Asset Allocation in Python

8. Identifying Credit Default with Machine Learning

9. Advanced Machine Learning Models in Finance

10. Deep Learning in Finance

11. Other Books You May Enjoy

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Who this book is for

This book is for financial analysts, data analysts/scientists, and Python developers who want to learn how to implement a broad range of tasks in the financial domain. This book should also be helpful to data scientists who want to devise intelligent financial strategies in order to perform efficient financial analytics. Working knowledge of the Python programming language is mandatory.

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Authors (1)

Eryk Lewinson

Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.

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