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Python for Finance Cover

Python for Finance

Apply powerful finance models and quantitative analysis with Python

Paid access
|Jul 2017
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Table of Contents

  1. Python basics
  2. Introduction to Python Modules
  3. Time value of money
  4. Sources of Economics/finance/accounting data
  5. Bond and stock evaluations
  6. Capital Asset Pricing Model
  7. Multifactor models and performance measures
  8. Time Series Analysis
  9. Portfolio Theory
  10. Options and Futures
  11. VaR (Value at Risk)
  12. Monte Carlo Simulation
  13. Credit Risk Analysis
  14. Exotic Options
  15. Volatility, implied volatility, ARCH and GARCH
PDF ISBN: 978-1-78712-502-5
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2017
Language: English
Pages: 586