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.
Este curso faz parte do Programa de cursos integrados Investment Management with Python and Machine Learning
oferecido por
Programa de cursos integrados Investment Management with Python and Machine LearningEDHEC Business SchoolInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 11 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
O que você vai aprender
Analyze style and factor exposures of portfolios
Implement robust estimates for the covariance matrix
Implement Black-Litterman portfolio construction analysis
Implement a variety of robust portfolio construction models
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 11 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
EDHEC Business School
Founded in 1906, EDHEC is now one of Europe’s top 15 business schools .
Programa - O que você aprenderá com este curso
3 horas para concluir
Style & Factors
3 horas para concluir
9 vídeos (Total 114 mín.), 3 leituras, 1 teste
2 horas para concluir
Robust estimates for the covariance matrix
2 horas para concluir
7 vídeos (Total 70 mín.), 1 leitura, 1 teste
3 horas para concluir
Robust estimates for expected returns
3 horas para concluir
7 vídeos (Total 77 mín.), 2 leituras, 1 teste
3 horas para concluir
Portfolio Optimization in Practice
3 horas para concluir
7 vídeos (Total 67 mín.), 4 leituras, 1 teste
Avaliações
Principais avaliações do ADVANCED PORTFOLIO CONSTRUCTION AND ANALYSIS WITH PYTHON
por MM13 de Abr de 2020
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.
por LT17 de Fev de 2021
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.
por MM2 de Dez de 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.
por KA4 de Jan de 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.
Sobre Programa de cursos integrados Investment Management with Python and Machine Learning
The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. 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 through a series of dedicated lab sessions.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
What is the refund policy?
Ganharei créditos universitários por concluir o curso?
Will I earn university credit for completing the Course?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
