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Risk and Returns: The Sharpe Ratio

Beginner
Updated 06/2024
Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.
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PythonApplied Finance45 minutes11 Tasks1,500 XP21,540

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Project Description

Risk and Returns: The Sharpe Ratio

When you assess whether to invest in an asset, you want to look not only at how much money you could make but also at how much risk you are taking. The Sharpe Ratio, developed by Nobel Prize winner William Sharpe some 50 years ago, does precisely this: it compares the return of an investment to that of an alternative and relates the relative return to the risk of the investment, measured by the standard deviation of returns. In this project, you will apply the Sharpe ratio to real financial data using pandas.

Risk and Returns: The Sharpe Ratio

Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.
Start project for free
  • 1

    Meet Professor William Sharpe

  • 2

    A first glance at the data

  • 3

    Plot & summarize daily prices for Amazon and Facebook

  • 4

    Visualize & summarize daily values for the S&P 500

  • 5

    The inputs for the Sharpe Ratio: Starting with Daily Stock Returns

  • 6

    Daily S&P 500 returns

  • 7

    Calculating Excess Returns for Amazon and Facebook vs. S&P 500

  • 8

    The Sharpe Ratio, Step 1: The Average Difference in Daily Returns Stocks vs S&P 500

  • 9

    The Sharpe Ratio, Step 2: Standard Deviation of the Return Difference

  • 10

    Putting it all together

  • 11

    Conclusion

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