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.
Acerca de este Curso
- 5 stars82,26 %
- 4 stars12,86 %
- 3 stars3,76 %
- 2 stars0,66 %
- 1 star0,44 %
Principales reseñas sobre ADVANCED PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
Wonderful course , well designed and amazing delivery by the 2 professors. Very practical and useful for IM. Highly recommended.
Fantastic portfolio construction techniques, although black letterman model could have been explained better . Overall great course with real world financial applications
This course gives a good understanding of Fama-French, GARCH, Black-Litterman and risk parity models among many others, not only theoretically, but also through hands-on Lab sessions.
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.
Acerca de Programa especializado: Investment Management with Python and Machine Learning
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