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Introduction to Portfolio Risk Management in Python

4.5+
11 reviews
Intermediate

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

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Course Description

This course will teach you how to evaluate basic portfolio risk and returns like a quantitative analyst on Wall Street. This is the most critical step towards being able to fully automate your portfolio construction and management processes. Discover what factors are driving your portfolio returns, construct market-cap weighted equity portfolios, and learn how to forecast and hedge market risk via scenario generation.
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In the following Tracks

Applied Finance in Python

Go To Track
  1. 1

    Univariate Investment Risk and Returns

    Free

    Learn about the fundamentals of investment risk and financial return distributions.

    Play Chapter Now
    Financial returns
    50 xp
    Financial timeseries data
    100 xp
    Calculating financial returns
    100 xp
    Return distributions
    100 xp
    Mean, variance, and normal distribution
    50 xp
    First moment: Mu
    100 xp
    Second moment: Variance
    100 xp
    Annualizing variance
    100 xp
    Skewness and kurtosis
    50 xp
    Third moment: Skewness
    100 xp
    Fourth moment: Kurtosis
    100 xp
    Statistical tests for normality
    100 xp
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

In the following Tracks

Applied Finance in Python

Go To Track

datasets

All returns (2017)Efficient Frontier PortfoliosFama-French factorsMicrosoft pricesETF of oil prices (UFO)

collaborators

Collaborator's avatar
Lore Dirick
Collaborator's avatar
Sumedh Panchadhar
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Eunkyung Park
Dakota Wixom HeadshotDakota Wixom

Quantitative Analyst and Founder of QuantCourse.com

Dakota Wixom is a quantitative finance analyst at Yewno, where he applies AI to create innovative financial products. Dakota founded QuantCourse.com and has also worked in quantitative risk management and investment banking roles in New York City and San Francisco. He has a B.S. in Quantitative Finance and a M.S. in Financial Analytics from the Stevens Institute of Technology.
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Don’t just take our word for it

*4.5
from 11 reviews
64%
27%
9%
0%
0%
  • Louis S.
    9 months

    Very useful tips for code that you can apply right away!

  • Alon B.
    about 1 year

    I am studying the subject as part of my master's and this course helped consolidate and organize my knowledge, apply it, and make practical use of it.

  • TARIK H.
    over 1 year

    Top!

  • Nathaniel B.
    over 1 year

    good stuff

  • Jeronimo F.
    almost 2 years

    I learned new concepts, that I didn't imagined would influence my financial decisions. The risck concept was numerically explained

"Very useful tips for code that you can apply right away!"

Louis S.

"I am studying the subject as part of my master's and this course helped consolidate and organize my knowledge, apply it, and make practical use of it."

Alon B.

"Top!"

TARIK H.

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