Decoding Market Timing: An Insightful Introduction /R+PyCode

Course Overview

• Course Title: Decoding Market Timing: An Insightful Introduction /R+PyCode
• Instructor: Dr. Krzysztof Ozimek
• Target Audience:
  • Analysts
  • Researchers
  • Students
  • Self-driven learners
• Prerequisites:
  • Basic understanding of financial markets and investment concepts
  • Familiarity with linear regression and statistical inference
  • Introductory knowledge of R or Python
  • Interest in quantitative methods

Curriculum Highlights

• Key Topics Covered:
  • Market timing in active portfolio management
  • Treynor–Mazuy and Henriksson–Merton timing models
  • Implementation of timing tests in R and Python
  • Kahneman–Tversky value function for timing patterns
• Key Skills Learned:
  • Understanding and applying market timing strategies
  • Implementing econometric models in R and Python
  • Interpreting econometric output for strategic insights
  • Analyzing behavioral aspects of market timing

Course Format

• Duration: 1 hour on-demand video
• Format: Self-paced online course
• Resources:
  • 3 articles
  • 7 downloadable resources
  • Access on mobile and TV
  • Certificate of completion