Quantitative Risk Management in Python

Name: Quantitative Risk Management in Python
Brand: Careervira
Price: 150 USD
Availability: InStock
Rating: 5.0 (3 reviews)

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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

Quantitative risk management plays an important role in asset management, banking and insurance. Financial risk analysts, regulators, and actuaries need to be able quantitatively balance the rewards and risks.

This course will teach you how to manage your financial portfolio. This course includes an analysis on the 2008 financial crisis, and how it affected investment banks such as J.P. Morgan or Goldman Sachs. You will learn how to use Python to reduce risk exposure using the Value at Risk and Conditional Value At Risk measures. Learn how to calculate risk using techniques like Monte Carlo simulation, and how to use cutting-edge technologies such as neural networks to rebalance portfolios in real-time.

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 Content

Expand all sections

Module 1: Risk and return recap

Module 2: Goal-oriented risk management

Module 3: Estimating and identifying risk

Module 4: Advanced risk management

Course Instructors

Jamsheed Shorish

Computational Economist

Jamsheed Shorish is CEO and founder of Shorish Research in Belgium, providing computational business services to startups, SMEs and enterprises. He received his Ph.D. from the Tepper School of Busine...

Course Reviews

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