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  3. Introduction to Portfolio Risk Management in Python
  • 1

    Univariate Investment Risk and Returns

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

  • 2

    Portfolio Investing

    Level up your understanding of investing by constructing portfolios of assets to enhance your risk-adjusted returns.

  • 3

    Factor Investing

    Learn about the main factors that influence the returns of your portfolios and how to quantify your portfolio's exposure to these factors.

  • 4

    Value at Risk

    In this chapter, you will learn two different methods to estimate the probability of sustaining losses and the expected values of those losses for a given asset or portfolio of assets.

Initializing

Ubung

Fourth moment: Kurtosis

Finally, to calculate the fourth moment of a distribution, you can use the kurtosis() function from scipy.stats.

Note that this function actually returns the excess kurtosis, not the 4th moment itself. In order to calculate kurtosis, simply add 3 to the excess kurtosis returned by kurtosis().

clean_returns from the previous exercise is available in your workspace.

Anweisungen

100 XP
  • Import kurtosis from scipy.stats.
  • Use clean_returns to calculate the excess_kurtosis.
  • Derive the fourth_moment from excess_kurtosis.