Chapter 4: Exploratory Data Analysis for Finance
Chapter in the book
Publisher:Mercury Learning and Information
Paid access
|Dec 2024
Table of contents
Frontmatter
Contents
Preface
Acknowledgments
About the Author
Reviewers
Chapter 1: Getting Started with Python for Finance
Chapter 2: Python Tools for Data Analysis: Primer to Pandas and NumPy
Chapter 3: Financial Data Manipulation with Python
Chapter 4: Exploratory Data Analysis for Finance
Chapter 5: Investment and Trading Strategies
Chapter 6: Asset Pricing and Portfolio Management
Chapter 7: Time-Series Analysis and Financial Data Forecasting
Chapter 8: Risk Assessment and Volatility Modeling
Chapter 9: Machine Learning and Deep Learning in Finance
Chapter 10: Time-Series Analysis and Forecasting with the FB Prophet Library
Appendix A: Python Code Examples for Finance
Appendix B: Glossary
Appendix C: Valuable Resources
Index
20 chapters available
PDF preview is not available for this content.
PDF ISBN: 978-1-5015-2184-3 | E-Pub ISBN: 978-1-5015-2188-1 | Paperback ISBN: 978-1-5015-2386-1 | DOI: 10.1515/9781501521843
Publisher: Mercury Learning and Information
Copyright owner: © 2025 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2024
Language: English
Pages: 505
Related subjects: