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.
Loved how this course was presented. It built well off of the first course and provided labs that let me explore the content. I really enjoyed how Lionel and Vijay presented the material.
par Serg D•
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.
par Minshen C•
lab session is way too fast and the questions didnt get answered in week3 quiz
par Hmei D•
It is my great honor to attend the high quality course Advanced Portfolio Construction and Analysis with Python. Thank the instructors for their professional guidance in the class and classmates, TAs for their hospitality in the forum. The course is one of the best Coursera courses I have taken, which not only provides profound finance knowledge, but also guides on fantastic Python Programming which becomes very useful tool in practical market/ investment analysis. Highly Recommend! Best Regards and blessings.
par Vadim T•
One of the best courses (Specializations) that Coursera has to offer. Really enjoy video lectures and programing labs. My favourite part is that the course is related to the real-world and addresses the questions of the applicability of recent theoretical developments. Learned modern state of the art technologies and enjoyed playing with the numbers. Programming assignments could have been harder but they are fun anyways.
par Mario M•
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.
par kitiwat a•
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.
par On T P•
I preferred the first MOOC where the coding was interactive as well. It was engaging to learn the coding at the same time with the investment knowledge....MOOC2 not as good as MOOC1 in my opinion from an engagement standpoint. But none the less, good knowledge and content in this course.
par Sean S•
Felt the intro course was better designed. The advanced course did not do a good of explaining the code that was used
par Rama M•
Course is very well organized. Journey from VW to EW to GMV to ERC is a very useful concept in quantitative investment management industry. Use of Python to reverse engineer BLM (Black-Litterman Model) and apply the same code in labs is extremely helpful in perfecting skills.
If possible, have two labs each week. First lab can be based on a small portfolio (3 assets) to perfect theory and validate answers easily. The second lab can be as is.
Overall, thank you both Dr. Martellini and Dr. Vaidyanathan for your effort and high-quality audio visual content. A great job well done.
I highly recommend this course for practitioners and Masters in Financial Engineering and Masters in Finance students.
This Course is really amazing! I appreciated the way the lab-sessions are explained, since, in contrast to the first course, the instructor briefly explains the code forcing you to play around with. In this way, I really improved a lot my coding skills. Furthermore, I found both interesting and helpful even the theoretical part, with Lionel that walks you through difficult concept in a very effective way giving you a solid understanding of the core concepts related to portfolio Construction and performance improvement. Therefore, I strongly suggest this course to everyone interested in learning some practical coding skills in financial field.
par Runar A Ø•
I highly recommend this course. The information and explanation is outstanding, and is something that is really applicable, not just theory. The lab instructor Dr. Vijay Vaidyanathan does a good job of explaining each element, but if he took the time like he did in MOOC 1 it would be perfect. The quiz is great because you have to really understand the theory and code in order to answer them, so you can't just skip through the labs and except to pass.
This and the previous MOOC in the specialization has been two of the best courses I have ever had in terms of practicality and effective teaching.
par Allen T•
I really loved this course. Lionel and Vijay are extremely personable and have a way of presenting difficult material in an easygoing and straightforward manner. I enjoyed the lab sessions in the first course much better because Vijay took the time to work through the Python functions and demonstrated his thought process, even walked through his mistakes, and told us why an error was raised. I suspect that due to some unfortunate comments by 'smart' people, too 'smart' for their own good, he didn't use this approach in the second course and I feel a little cheated.
par carlos j u•
Super clear explanations, combining intuitions with rigorous definitions for the pros and cons of each investment strategy. The theory is clear, and the lab sessions introduce you to well-designed Python code, thus the perfect combo for pragmatic learners :)
Note that the Python code is not trivial, and in this MOOC the instructor does not go as deep in the explanations as in the 1st MOOC of this Specialization, so make sure you are familiarized with Python.
par Cay O•
Really insightful courses (parts 1 +2)! They are extremely well balanced between practical motivation, theoretical background, and applied Python techniques. I got a brillant overview of why the concepts are created, what the core ideas behind those are, empirical examples, and last, but not least, how to beautifully implement them in Python. The courses serve a large audience from a wide range of backgrounds - from pure techies to pure "businessists".
Great course, interesting material, outstanding instruction. The course covers advanced portfolio construction techniques, but as feedback, it would be nice to see more focus on their practical application, particularly construction and maintenance of datasets such as the ones used in lab exercises. The question where/how to get the data needed to run things covered in class in the "real world" is one to figure out outside of the class.
par Омар А К•
This course is something special, it exceeds all expectations. The syllabus is very practical and actual, all methods taught in this course are modern and sophisticated. Dr.Martellini explains state of the art techniques in a very interesting and comprehensible manner. Dr.Vaidyanathan makes practical part of this course fun and engaging. 100500 out of 5 is my rate.
par Enrique A V Y•
Really good one just like the first MOOC, however, the lab sessions are a bit more hands off, which is okay if you payed enough attention on the first course. Otherwise, you might struggle with it. I really wish to thank both VJ and Lionel for the great quality of their teaching, hard to find anything like it even in presencial classes.
par Shakirova N•
This is a very good course! I started to understand Python codes and even wrote some functions myself while working on it. However, the course is quite tough, so to benefit from it, it's necessary to watch it several times and of course do all the given tasks! But it is totally worth it! Many thanks to Lionel and Vijay!
par Prashant B•
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
par Tathagat K•
The content is great and the teachers are amazing. Vijay is an exceptionally good instructor. Please design more courses with him.
I have only one request . The questions and answers in the quiz are incorrect at certain places and have't been corrected. I request that these be corrected.
par SMRUTI R D•
This is an excellent course covering different approaches to portfolio construction with emphasis on both theory and practice. The Lab sessions covering coding in Python to translate theories in to practice are very informative and useful. Anyone interested in the topic will enjoy this program.
par Palito J E•
The course is great, its combine the teoritcal approach with an application in python. And compare the backtest result from the portfolio constructed within the different scenario. I guess it would be valuable both in career progression, or for personal portfolio construction.
par Jose C D A•
It was an incredible and very rich course, the only thing that I'd add is the math behind the optimization processes, like the original quadratic program on the Equal Risk Contribution weighting and other custom weightings that may be hard to follow only with the Python code.
par Jerry H•
Absolutely enjoyed the course, learned new concepts and new perspectives on methodologies I already knew and used. Would have like to see them go a bit further into more advanced portfolio construction techniques. One more week building on week 4 would have been great.
par Rodrigo R•
Very well-structured MOOC. Both Lionel and Vijay are the best! The course program and material are very well organized and covers each objective in detail. They could create a good balance between Portfolio Risk Management theory and practical application using Python.