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Financial Risk Management with R
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Financial Risk Management with R

This course is part of Entrepreneurial Finance: Strategy and Innovation.

Course Cost

Free course

Intermediate

Skill Level

12 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Entrepreneurial Finance: Strategy and Innovation Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.4

16,974 Enrolled

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English

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olive-leaves-logo

4.4

16,974 Enrolled

olive-leaves-logo

English

What you'll learn

  • Calculate and analyze portfolio returns using R

  • Master Value-at-Risk and Expected Shortfall calculations

  • Handle normal and non-normal distribution analysis

  • Implement GARCH models for volatility clustering

  • Use R packages for financial risk management

Skills you'll gain

Portfolio Management
Risk Analysis
R Programming
Financial Risk
Value-at-Risk
Expected Shortfall
GARCH Models
Statistical Analysis

This course includes:

3.2 Hours PreRecorded video

28 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course teaches financial market risk analysis using R programming. Students learn to calculate portfolio returns and quantify market risk using Value-at-Risk (VaR) and Expected Shortfall (ES). The curriculum covers both normal and non-normal distributions, volatility clustering, and GARCH models. Through hands-on exercises using RStudio and Microsoft Open R, participants gain practical skills in financial data analysis and risk management techniques used by banks, hedge funds, and investment firms.

Introduction to R, Data Retrieval, and Return Calculation

Module 1 · 3 Hours to complete

Risk Management under Normal Distributions

Module 2 · 3 Hours to complete

Risk Management under Non-normal Distributions

Module 3 · 3 Hours to complete

Risk Management under Volatility Clustering

Module 4 · 3 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Entrepreneurial Finance: Strategy and Innovation

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Financial Risk Management with R

Intermediate

Skill Level

12 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.