What You'll Learn
- 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.
Requirements
- 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
Who This Course is For
- Entry-level financial analysts and portfolio managers seeking to assess or apply market timing strategies
- Early-stage quantitative researchers and data scientists interested in investment modeling
- Students and academics in finance, econometrics, or statistics
- Independent traders and investors looking to evaluate or build tactical strategies
- Anyone curious about innovative approaches to testing market timing
Your Instructor
Dr Krzysztof Ozimek, PRM
Quantitative Investment & Trading Research Educator
4.2 Instructor Rating
10 Reviews
6,912 Students
4 Courses
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