Quantitative Risk Management in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Portfolio Analysis in Python
What You Will Learn
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python
You’ll learn how to use Python to calculate and mitigate risk exposure using the Value at Risk and Conditional Value at Risk measures, estimate risk with techniques like Monte Carlo simulation, and use cutting-edge technologies such as neural networks to
You’ll also learn how to mitigate risk exposure using the Black-Scholes model to hedge an options portfolio
You’ll also discover how neural networks can be implemented to approximate loss distributions and conduct real-time portfolio optimization
Course Instructors
Course Reviews
Average Rating Based on 3 reviews
100%