Introduction to Portfolio Analysis in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Python for Finance
Manipulating Time Series Data in Python
What You Will Learn
In the first chapter, you’ll learn how a portfolio is build up out of individual assets and corresponding weights
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off
You’ll learn about the Fama French factor model, and use that to break down portfolio returns into explainable, common factors
You’ll learn how to find the optimal weights for the desired level of risk or return
You’ll learn how to look at risk from different perspectives. This part focuses on skewness and kurtosis of a distribution, as well as downside risk
Course Instructors