Investment Risk and Return Analysis In Python

14 lessons0%

Resources

Lessons

Investment Risk and Returns

Discreet Vs Logarithmic Returns – Which One to Use?

Analyzing Financial Time Series Data with Python

Step 1: Load the Data

Step 2: Calculate Returns

Step 3: Visualize the Distribution of Returns

Statistical Foundations of Return Distributions

Moments of a Distribution

Mean, Variance, and Normal Distribution

Calculating the First and Second Moments (Mu and Variance) in Python

Higher Moments of Distribution

Calculate Skewness and Kurtosis in Python

Conducting Normality Tests in Python: Practical Applications

Conclusion

Lesson 14 of 14

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Conclusion

In this course, we focused on the basics of Investment Risk and Returns. We started with understanding what risk means in finance and how it relates to the returns we expect from investments. We looked at how to measure returns, both simple and logarithmic, and discussed why these measurements are important.