Python for finance cookbook: over 50 recipes for applying modern Python libraries to finance data analysis

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.