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

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Author
Lewinson, Eryk
Publisher
Packt
Publication Date
2020.
Language
English
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Description

Python is becoming the number one language for data science and also quantitative finance. This book provides you with solutions to common tasks from the intersection of quantitative finance and data science, using modern Python libraries.

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ISBN
9781789617320

Table of Contents

From the eBook

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
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Index.

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