Share Description
This course is all about learning the basics of Portfolio Construction with the help of Python. This course talks about multiple ways to learn the theory behind Modern Portfolio Construction Techniques. It starts by explaining how to write the custom Python code and later briefs you about the possible risk parameters. This course aims to teach you how to utilise powerful Python optimisation libraries to smoothly build systematic portfolios.
Topics Covered:
- Analysing Returns: Learn the basics of returns and fundamentals of returns and later learn the measures of risks and rewards.
- Drawdowns: Know what a drawdown is and learn how to measure the drawdowns with Python.
- Efficient Frontier: Understand the concept of efficient frontier and see how you can apply quadprog to draw the efficient frontier.
- Diversification: Learn the limits of diversification and get introduced to the concept of CPPI.
- Asset Management: Know what asset management is in detail and come across the concepts of asset management liability.
- And Many More Topics..
Who Will Benefit?
- Finance Students: Individuals who want to improve their knowledge of investment, returns and diversification.
- Financial Analysts: All those who want to learn how to apply Python for the purpose of analysis and portfolio construction.
- Portfolio Managers: Individuals who want to professionally learn portfolio construction and come across modelling problems.
Why Choose This Course?
As you choose this course, you will primarily learn how to compare the portfolio strategies. This course benefits you by briefing you about the possible risk parameters and helps you write the custom Python code. You will also learn about the theory behind Modern Portfolio Construction Techniques. By the end of this course, you will gain hands-on experience to build custom utilities in Python and later learn its optimisation.
