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Python for Finance Cookbook

You're reading from  Python for Finance Cookbook

Product type Book
Published in Jan 2020
Publisher Packt
ISBN-13 9781789618518
Pages 432 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Eryk Lewinson Eryk Lewinson
Profile icon Eryk Lewinson
LinkedIn
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.
See other products by Eryk Lewinson

Table of Contents (12) Chapters

Preface 1. Financial Data and Preprocessing 2. Technical Analysis in Python 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

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Python for Finance
Krish Naik

ISBN: 978-1-78934-637-4

  • Clean financial data with data preprocessing
  • Visualize financial data using histograms, color plots, and graphs
  • Perform time series analysis with pandas for forecasting
  • Estimate covariance and the correlation between securities and stocks
  • Optimize your portfolio to understand risks when there is a possibility of higher returns
  • Calculate expected returns of a stock to measure the performance of a portfolio manager
  • Create a prediction model using recurrent neural networks (RNN) with Keras and TensorFlow

Mastering Python for Finance - Second Edition
James Ma Weiming

ISBN: 978-1-78934-646-6

  • Solve linear and nonlinear models representing various financial problems
  • Perform principal component analysis on the DOW...
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Authors (1)

Profile icon Eryk Lewinson
LinkedIn
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.
Read more
See other products by Eryk Lewinson

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