Lewinson Python for Finance Cookbook – Second Edition

Over 80 powerful recipes for effective financial data analysis
2. Auflage 2022
ISBN: 978-1-80323-883-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 740 Seiten

No detailed description available for "Python for Finance Cookbook – Second Edition".

Autoren/Hrsg.

Lewinson, Eryk

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines

Inhaltsverzeichnis

Table of Contents - Acquiring Financial Data
- Data Preprocessing
- Visualizing Financial Time Series
- Exploring Financial Time Series Data
- Technical Analysis and Building Interactive Dashboards
- Time Series Analysis and Forecasting
- Machine Learning-Based Approaches to Time Series Forecasting
- Multi-Factor Models
- Modelling Volatility with GARCH Class Models
- Monte Carlo Simulations in Finance
- Asset Allocation
- Backtesting Trading Strategies
- Applied Machine Learning: Identifying Credit Default
- Advanced Concepts for Machine Learning Projects
- Deep Learning in Finance

Über Autor(innen)

Lewinson Eryk:
Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.