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 General Mills
18,934 already enrolled
Gain insight into a topic and learn the fundamentals.
4.3
(253 reviews)
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Statistical Programming
- Securities Trading
- Financial Trading
- Market Data
- Financial Data
- Estimation
- Portfolio Management
- R (Software)
- Securities (Finance)
- Financial Market
- Financial Modeling
- Risk Management
- Time Series Analysis and Forecasting
- Risk Modeling
- Risk Analysis
- Statistical Modeling
- R Programming
- Probability Distribution
Details to know
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Assessments
28 assignments
Taught in English
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This course is part of the Entrepreneurial Finance: Strategy and Innovation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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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
Instructor
Instructor ratings
4.5 (102 ratings)Offered by
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4.3
253 reviews
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Showing 3 of 253
FM
4
Reviewed on Jul 12, 2020
Really good assessments method, and very interesting topics covered. Material (slides) is however not fully complete in my opinion, hence I rate it with 4 stars "only".
VG
4
Reviewed on Jun 15, 2020
good introductory course on VaR, ES topics, and their inuitions, and implementations in R
RR
5
Reviewed on Mar 20, 2021
Challenging, but worthwhile -- would recommend approaching over weeks, and not rushing through.Do not need a strong background in Statistics, but would definitely help understand the terminology.
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