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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

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781789618518
Length 432 pages
Edition 1st Edition
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Author (1):
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Eryk Lewinson Eryk Lewinson
Author Profile Icon Eryk Lewinson
Eryk Lewinson
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Table of Contents (12) Chapters Close

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

Other Books You May Enjoy

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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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