MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Using the R programming language with Microsoft Open R and RStudio, you will use the two main tools for calculating the market risk of stock portfolios: Value-at-Risk (VaR) and Expected Shortfall (ES). You will need a beginner-level understanding of R programming to complete the assignments of this course.
Course 4 of 4 in the Entrepreneurial Finance: Strategy and Innovation Specialization.
Syllabus
WEEK 1
Introduction to R, Data Retrieval, and Return Calculation
This module goes over the versions of R (R Studio and Microsoft Open R), the data source (FRED at the Federal Reserve Bank of St. Louis), and the calculation of returns.
WEEK 2
Risk Management under Normal Distributions
This module covers how to calculate value-at-risk (VaR) and expected shortfall (ES) when returns are normally distributed.
WEEK 3
Risk Management under Non-normal Distributions
This module covers how to test for normality of returns, and how to calculate value-at-risk (VaR) and expected shortfall (ES) when returns are not normally distributed.
WEEK 4
Risk Management under Volatility Clustering
This module covers how to test for the presence of volatility clustering, and how to calculate value-at-risk (VaR) and expected shortfall (ES) when returns exhibit volatility clustering.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.