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Lære Challenge: Portfolio Risk Calculator | Risk Analysis and Portfolio Management
Python for FinTech

bookChallenge: Portfolio Risk Calculator

When building a portfolio, understanding both the expected return and the risk (often measured by standard deviation) is crucial for making informed investment decisions. The expected return gives you an idea of what you might gain on average, while the risk quantifies how much the returns can vary. Asset weights play a fundamental role in this calculation: the proportion of your total investment allocated to each asset directly influences both the potential reward and the exposure to risk. If the weights do not sum to 1, your portfolio is either over- or under-invested, which can distort both your risk and return calculations. Ensuring proper weight allocation and accurately computing these metrics are foundational skills in portfolio management.

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Write a function that calculates the expected return and risk (standard deviation) of a two-asset portfolio using lists of historical returns and given weights. If the asset weights do not sum to 1, the function should raise a ValueError.

  • Compute the mean return for each asset using the provided lists.
  • Calculate the portfolio's expected return using the given weights.
  • Calculate the standard deviation (risk) of each asset.
  • Compute the covariance between the two assets.
  • Use the weights, standard deviations, and covariance to calculate the portfolio's standard deviation.
  • Return both the expected return and the standard deviation as a tuple.
  • Raise a ValueError if the weights do not sum to 1.

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Suggested prompts:

Can you explain how to calculate the expected return and risk for a portfolio?

What happens if my asset weights don't add up to 1?

Can you give an example of how asset weights affect portfolio risk and return?

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bookChallenge: Portfolio Risk Calculator

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When building a portfolio, understanding both the expected return and the risk (often measured by standard deviation) is crucial for making informed investment decisions. The expected return gives you an idea of what you might gain on average, while the risk quantifies how much the returns can vary. Asset weights play a fundamental role in this calculation: the proportion of your total investment allocated to each asset directly influences both the potential reward and the exposure to risk. If the weights do not sum to 1, your portfolio is either over- or under-invested, which can distort both your risk and return calculations. Ensuring proper weight allocation and accurately computing these metrics are foundational skills in portfolio management.

Oppgave

Swipe to start coding

Write a function that calculates the expected return and risk (standard deviation) of a two-asset portfolio using lists of historical returns and given weights. If the asset weights do not sum to 1, the function should raise a ValueError.

  • Compute the mean return for each asset using the provided lists.
  • Calculate the portfolio's expected return using the given weights.
  • Calculate the standard deviation (risk) of each asset.
  • Compute the covariance between the two assets.
  • Use the weights, standard deviations, and covariance to calculate the portfolio's standard deviation.
  • Return both the expected return and the standard deviation as a tuple.
  • Raise a ValueError if the weights do not sum to 1.

Løsning

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Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 2. Kapittel 3
single

single

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