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Kursteilnehmer-Bewertung und -Feedback für Advanced Portfolio Construction and Analysis with Python von EDHEC Business School

4.8
Sterne
52 Bewertungen
9 Bewertungen

Über den Kurs

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. As we cover the theory and math in lecture videos, we'll also implement the concepts in Python, and you'll be able to code along with us so that you have a deep and practical understanding of how those methods work. By the time you are done, not only will you have a foundational understanding of modern computational methods in investment management, you'll have practical mastery in the implementation of those methods. If you follow along and implement all the lab exercises, you will complete the course with a powerful toolkit that you will be able to use to perform your own analysis and build your own implementations and perhaps even use your newly acquired knowledge to improve on current methods....

Top-Bewertungen

KA

Jan 05, 2020

I like the way instructors explained difficult topic and digest it to simple way. The coding side was also impressive. WIth novice background in Python, I would able to understand.

FC

Jan 13, 2020

Enjoyed the part on the implementation of the Black-Litterman model and the Risk Parity portfolios. Looking forward to the third course.

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1 - 9 von 9 Bewertungen für Advanced Portfolio Construction and Analysis with Python

von Serg D

Nov 21, 2019

Another great course from edhec business school on portfolio construction. The reason why i am giving 3 is because forum quality and support is below acceptable. What is the point for Claudia to encourage this conversations? We come here to learn practical skills and sometimes need help and support, which does not exist. Great course otherwise.

von Prashant B

Dec 23, 2019

Even though the exercises were not detailed as in MOOC1, this did give more in depth knowledge of python exercises..

Some of the new additions to the ERK Risk Kit functions - explanation of basis of function

list risk_contribution function is given, but the foundation on why /what is missing, how is implemented

von Mario R M

Dec 03, 2019

The course is excellent, one of the best finance courses on coursera, but you should know in advance that you will not have any help from the staff, at least that was my experience.

von kitiwat a

Jan 05, 2020

I like the way instructors explained difficult topic and digest it to simple way. The coding side was also impressive. WIth novice background in Python, I would able to understand.

von Fabian M H C

Jan 13, 2020

Enjoyed the part on the implementation of the Black-Litterman model and the Risk Parity portfolios. Looking forward to the third course.

von Konstantinos R

Nov 06, 2019

Very demanding, especially the tests. Extremely interesting lectures and to the point.

von Francisco C

Dec 16, 2019

Great course. Really recommended

von Alexei N S

Nov 22, 2019

Really great course!

von Minshen C

Dec 07, 2019

lab session is way too fast and the questions didnt get answered in week3 quiz