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Introduction to Portfolio Management with Python | Codefinity
Introduction to Portfolio Management with Python

Introduction to Portfolio Management with Python

This course will help those who have knowledge of Python and Probability Theory and want to get some basic knowledge of Portfolio Management, including fundamental financial concepts like risk and return, basics of portfolio optimization and influence of factors on portfolio's behaviour.

Course

Gain insight into a topic and learn the fundamentals

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Intermediate
Recommended experience
16 chapters
Flexible schedule
Learn at your own pace
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What you will learn
  • You will learn the fundamentals of investing, including diversification and portfolio management.
  • You'll gain an understanding of key financial concepts like return and risk, which are essential for estimating your portfolio's performance.
  • You will explore how to balance high return with low risk.
  • You will learn how to optimize your portfolio in terms of Modern Portfolio Theory with Python.
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There are 6 modules in this course

This course will help those who have knowledge of Python and Probability Theory and want to get some basic knowledge of Portfolio Management, including fundamental financial concepts like risk and return, basics of portfolio optimization and influence of factors on portfolio's behaviour.
To start, we'll explore some fundamental financial concepts that will be essential for the rest of the course. These include investing, diversification, portfolio, return and risk. We'll also learn how to use Python to work with them.
Now that we've covered the basics of portfolio analysis, it's time to explore methods for choosing optimal weights for our portfolio. Specifically, we'll discuss fundamental concepts in portfolio optimization, including Modern Portfolio Theory and its key component - the Efficient Frontier. Additionally, we'll learn how to balance high returns with low risk, and how to determine the weights for a portfolios that achieves the best possible return-risk trade-off or the lowest risk, all using Python.
Finally, after covering the fundamentals of portfolio analysis and optimization, we’re ready to dive into predicting our portfolio's behavior and understanding the impact of various factors on it. Practically, we'll explore the basics of Factor Analysis, including different types of factors and several models built around them.

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