Free Udemy Course __ Decoding Market Timing: An Insightful Introduction /R+PyCode

Explore core principles, test methods with R and Python, and gain innovative insights into behavioral finance

4.5 (2,871 students students enrolled) English
back-end Python
Decoding Market Timing: An Insightful Introduction /R+PyCode

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

6 Reviews

5,333 Students

4 Courses

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