Python data - Assignment 2 questions

Question 1 (6 marks)

Use data from Returns.csv to answer this question. The dataset contains 5 daily stock returns (in terms of percentage) from 2016 to 2017, including Apple (AAPL), Amazon (AMZN), Facebook (FB), Google (GOOG), and Microsoft (MSFT). For example, on 05-January-2016, Apple's stock dropped by 2.51% from the previous trading day.

1. Obtain point and conventional 95% interval estimations of the mean return of each stock. Present the formulae used for the interval estimation and comment on the results.
2. Obtain point and conventional 95% interval estimations of the proportion of each stock having daily positive returns. Present the formulae used for the interval estimation and comment on the results.
3. Plot a heatmap with hierarchical clustering based on the pairwise correlation among the five stock returns. Comment on the results.

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