Learn investment portfolio analysis from basic to expert level through practical course with Python programming language
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Read or download main asset classes benchmark indexes replicating funds data to perform investment portfolio analysis operations by installing related packages and running code on Python IDE.
Compare main asset classes benchmark indexes replicating funds returns and risks tradeoffs for cash, bonds, stocks, commodities, real estate and currencies.
Estimate portfolio expected returns, historical and market participants implied volatility.
Approximate portfolio expected excess returns using capital asset pricing model (CAPM), Fama-French-Carhart factors model and arbitrage pricing theory model (APT).
Hedge portfolio systematic risk through options trading strategies benchmark indexes replicating funds.
This comprehensive Investment Portfolio Analysis with Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Investment Portfolio Analysis with Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Diego Fernandez
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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