Python for finance cookbook : over 50 recipes for applying modern python libraries to financial data analysis [E-Book] / Eryk Lewinson.
Lewinson, Eryk, (author)
Birmingham : Packt Publishing, 2020
1 online resource (426 pages) (online resource)
englisch
9781789617320
9781789618518
Full Text
Table of Contents:
  • Python for finance cookbook: over 50 recipes for applying modern python libraries to financial data analysis
  • About the author
  • Table of Contents
  • Preface
  • Chapter 1: Financial Data and Preprocessing
  • Chapter 2: Technical Analysis in Python
  • Chapter 3: Time Series Modeling
  • Chapter 4: Multi-Factor Models
  • Chapter 5: Modeling Volatility with GARCH Class Models
  • Chapter 6: Monte Carlo Simulations in Finance
  • Chapter 7: Asset Allocation in Python
  • Chapter 8: Identifying Credit Default with Machine Learning
  • Chapter 9: Advanced Machine Learning Models in Finance
  • Chapter 10: Deep Learning in Finance
  • Other Books You May Enjoy
  • Index.