Explore core principles, test methods with R and Python, and gain an innovative insight from behavioral finance
Sub Category
- Investing & Trading
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Objectives
- Understand the intuition and purpose behind market timing in active portfolio management
- Apply and interpret Treynor–Mazuy and Henriksson–Merton timing models
- Implement timing tests from scratch in both R and Python, using simple functions
- Use the Kahneman–Tversky value function to uncover timing patterns in investment or trading strategies.
Pre Requisites
- Basic understanding of financial markets and investment concepts
- Familiarity with linear regression and statistical inference
- Introductory knowledge of R or Python (you can use either)
- Interest in quantitative methods and openness to fresh analytical approaches
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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