The practice of investment management has been transformed in recent years by computational methods. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. In this course, we cover the estimation, of risk and return parameters for meaningful portfolio decisions, and also introduce a variety of state-of-the-art portfolio construction techniques that have proven popular in investment management and portfolio construction due to their enhanced robustness.
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- 5 stars82.22%
- 4 stars12.88%
- 3 stars3.77%
- 2 stars0.66%
- 1 star0.44%
ADVANCED PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON의 최상위 리뷰
Enjoyed the part on the implementation of the Black-Litterman model and the Risk Parity portfolios. Looking forward to the third course.
Good overview on portfolio theory with some of the latest trends (multi-factor models) and Python Lab sessions follow the same logic than the first course, with good tips and good timing.
Really appreciated from both of the instructors, from thier very high level of theory and practical programming skills. Hoping to use these khowledge in pracsis some days.
Wonderful course , well designed and amazing delivery by the 2 professors. Very practical and useful for IM. Highly recommended.
Investment Management with Python and Machine Learning 특화 과정 정보
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