This course teaches you how to calculate the return of a portfolio of securities as well as quantify the market risk of that portfolio, an important skill for financial market analysts in banks, hedge funds, insurance companies, and other financial services and investment firms. 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.

Financial Risk Management with R

Financial Risk Management with R
This course is part of Entrepreneurial Finance: Strategy and Innovation Specialization

Instructor: David Hsieh
Access provided by ExxonMobil
19,292 already enrolled
257 reviews
Skills you'll gain
- Statistical Programming
- Financial Trading
- Portfolio Management
- Securities (Finance)
- Estimation
- Statistical Modeling
- Simulation and Simulation Software
- Probability Distribution
- Portfolio Risk
- Risk Management
- Financial Data
- R Programming
- R (Software)
- Risk Analysis
- Financial Market
- Time Series Analysis and Forecasting
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There are 4 modules in this course
This module goes over the use of R and RStudio, retrieving data from different data sources (FRED at the Federal Reserve Bank of St. Louis and Yahoo!Finance), and the calculation of returns.
What's included
5 videos3 readings7 assignments
This module covers how to calculate value-at-risk (VaR) and expected shortfall (ES) when returns are normally distributed.
What's included
4 videos1 reading8 assignments
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.
What's included
4 videos1 reading7 assignments
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.
What's included
9 videos2 readings6 assignments
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When you complete this course, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
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Showing 3 of 257
Reviewed on Jan 22, 2023
The material was concise and reinforced what I had learned.
Reviewed on Nov 7, 2020
Awesome introduction course for Risk Management who have some expertise in statistics and finance
Reviewed on May 16, 2020
The concepts are beautifully explained. This course requires basic understanding of Risk management and R coding. Thank you for such a good learning experience. Best of Luck
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