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Quantitative Risk Management in Python

AdvancedSkill Level
4.7+
71 reviews
Updated 04/2023
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
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PythonApplied Finance4 hr15 videos54 Exercises4,500 XP15,492Statement of Accomplishment

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Course Description

Managing risk using Quantitative Risk Management is a vital task across the banking, insurance, and asset management industries. It’s essential that financial risk analysts, regulators, and actuaries can quantitatively balance rewards against their exposure to risk.This course introduces you to financial portfolio risk management through an examination of the 2007—2008 financial crisis and its effect on investment banks such as Goldman Sachs and J.P. Morgan. 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 conduct real time portfolio rebalancing.

Prerequisites

Introduction to Portfolio Analysis in Python
1

Risk and return recap

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2

Goal-oriented risk management

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3

Estimating and identifying risk

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4

Advanced risk management

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Quantitative Risk Management in Python
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*4.7
from 71 reviews
80%
18%
1%
0%
0%
  • David Alberto
    1 day

  • Yilin
    1 day

  • Miguel Ángel
    2 days

  • Marco Tancredi
    5 days

  • Michael
    17 days

    Very informative!

  • Ritwik
    24 days

David Alberto

Yilin

Miguel Ángel

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