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

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.

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Lewinson, Eryk (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt, 2020.
Subjects:
Finance > Mathematical models.
Python (Computer program language)
Finance > Data processing.
Finances > Modèles mathématiques.
Python (Langage de programmation)
Finances > Informatique.
Finance > Data processing
Finance > Mathematical models
Online Access:Texto completo (Requiere registro previo con correo institucional)
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.

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