In this course, you’ll learn Value-at-Risk and factor-based models in Python, R and Excel/VBA. Enrolling in course Financial Risk Management in Python, R and Excel by Loony Corn.
Course: Financial Risk Management in Python, R and Excel
Author: Loony Corn
Description: Value-at-Risk and factor-based models in Python, R and Excel/VBA
Skill Level: All Levels
Content: 4 hours
Includes: Lifetime access
Categories: Business / Finance
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: Course Certificate of Completion.
Take the course, Financial Risk Management in Python, R, and Excel. Here are some of the things you’ll be able to do after taking this course:
By the end of this course, you will design robust risk models using covariance matrices, Value-at-Risk and factor analysis.
By the end of the course, you will be able to create realistic scenarios for stress-testing risk.
Upon completion of the course, you will implement these robust factor-based models in Excel, Python, and R.
Upon completion, you will contrast covariance-matrices, scenario-based and factor-based risk models.
At the end of the course, you will be able to understand the strengths and weaknesses of value-at-risk.
Who this course is for:
This course is intended for finance or technical professionals seeking to implement risk models in Excel, Python and R. This Course Is For You!
Enroll in This Online Course Now!
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