Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Financial Risk Management with R certification is a 14 hours course belonging to the Entrepreneurial Finance: Strategy and Innovation Specialization course track that is offered by Coursera along with the academic side taken care of by Duke University. This programme is basically launched to teach the participants how they can make calculations about the returns of portfolio securities to quantify the market risk which is basically a requisite skill for the financial analysts in banks, insurance companies, hedge funds, and different investment firms.
Financial Risk Management with R training will help candidates use the two tools RStudio and R programming language with Microsoft Open R for calculating the Value-at-Risk (VaR), risk of stock portfolios, and Expected Shortfall (ES). This is an intermediate level of course that may require additional R programming skills for its participants. Additionally, the certificate will boost the confidence of the candidates pursuing risk calculation.
The Highlights
- 100% online programme
- Intermediate level course
- 14 hours of classes
- 9 subtitles available
- Self-paced learning
- Shareable certificate by Coursera
Programme Offerings
- Online Course
- Certificate upon completion
- Flexible Deadlines
- Course in English
- 9 Subtitles Available
- Lectures
- Graded Assignments
- peer reviews
- Graded Quizzes.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
Financial Risk Management with R Fee Structure
Course Name | Fees |
Certificate mode, 1 month | Rs. 4,115 |
Certificate mode, 3 months | Rs. 8,230 |
Certificate mode, 6 months | Rs. 12,345 |
Eligibility Criteria
Educational Qualification
Some knowledge in risk management, R coding, and statistics may help.
Certification Qualifying Details
Financial Risk Management with R certification by Coursera will be offered when the applicants are done with their course reading, videos, projects, and graded programming assignments.
What you will learn
The Financial Risk Management with R certification syllabus will give insights into how candidates can use R programming for calculating the stock portfolio’s return as well as quantifying the risk associated with that portfolio. With this programme, candidates can go ahead with taking the best financial entrepreneurial decisions for their venture.
Who it is for
The participants who have an understanding of beginner-level R programming, and want to calculate, and quantify the financial risks associated with business ventures are welcomed for this course.
Admission Details
The Financial Risk Management with R admission process is as below:
Step 1: Vising the official website is the first mandatory step: https://www.coursera.org/learn/financial-risk-management-with-r
Step 2: Then the next task clicking the ‘Enrol for Free’ button for the candidates.
Step 3: Next, they should search for financial help if available in Coursera.
Step 4: Then admission which comes under the free-trial period is available for 7 days.
Step 5: After the 7 days, participants continue their admission, and learning must pay the fee.
Application Details
For the Financial Risk Management with R certification, candidates as the first step need have to necessarily make a Coursera account by selecting the course which they are looking to pursue.
The Syllabus
Videos
- Introduction
- Retrieving Data from FRED
- Calculating Daily Returns
- Calculating Longer Returns
- A Simple Example
Readings
- Exercise 1 - Introduction to Microsoft Open R and R Studio
- Week 1 Quiz Instructions
Practice Exercises
- Exercise 2 - Retrieving data from FRED
- Exercise 3 - Calculating Returns on Gold
- Exercise 4 - Longer Horizon Returns of Gold
- Week 1 Quiz (1 of 4)
- Week 1 Quiz (2 of 4)
- Week 1 Quiz (3 of 4)
- Week 1 Quiz (4 of 4)
Videos
- Distribution of Returns
- Value-at-Risk (VaR)
- Expected Shortfall (ES)
- Using Simulation to Estimate VaR and ES
Readings
Week 2 Quiz Instructions
Practice Exercises
- Exercise 5 - Estimating Parameters of the Normal Distribution
- Exercise 6 - Estimating VaR of the Normal Distribution
- Exercise 7 - Estimating ES of the Normal Distribution
- Exercise 8 - Estimating VaR and ES via Simulation
- Week 2 Quiz (1 of 4)
- Week 2 Quiz (2 of 4)
- Week 2 Quiz (3 of 4)
- Week 2 Quiz (4 of 4)
Videos
- Non-normal Distribution
- Student-t Distribution
- Rescaled t Distribution Model
- VaR and ES for Multi-day Horizon
Readings
Week 3 Quiz Instructions
Practice Exercises
- Exercise 9 - Skewness, Kurtosis, Jarque-Bera Test for Normality
- Exercise 10 - Estimate Parameters of the Scaled Student-t Distribution
- Exercise 11 - Estimate VaR and ES at 10-day Horizon
- Week 3 Quiz (1 of 4)
- Week 3 Quiz (2 of 4)
- Week 3 Quiz (3 of 4)
- Week 3 Quiz (4 of 4)
Videos
- Future vs Historical Distribution
- Volatility Clustering
- GARCH
- Estimation: rugarch Package
- GARCH(1,1) - t
- Diagnostic Tests
- Using the ugarchboot Function
- Using the ugarchroll Function
- Course Summary
Reading
Week 4 Quiz Instructions
Practice Exercises
- Exercise 12 - Serial Correlation, Volatility Clustering, GARCH
- Exercise 13 - VaR and ES for GARCH bootstrap
- Week 4 Quiz (1 of 4)
- Week 4 Quiz (2 of 4)
- Week 4 Quiz (3 of 4)
- Week 4 Quiz (4 of 4)
Instructors
Duke University, Durham Frequently Asked Questions (FAQ's)
At that point, when candidates have made an account on Coursera, they can start accessing the video lectures of this course.
A lot of subtitles in different languages like German, French, Portuguese (European), Italian, Arabic, English, Vietnamese, Russian, and Spanish are offered.
Unfortunately, Coursera has no placement option in companies.
Till 7 days after programme enrollment, the free version is available.
If midway candidates feel that this course isn’t suitable, they can cancel at any time without any hassle and extra payment.