Hypothesis Testing Stock Prices

Hypothesis Testing Stock Prices

For this practical application assignment, you will use the daily adjusted closing price data you downloaded in Module 1. You may use the Hypothesis Tester – Single Sample document, linked in Resources, to complete both scenarios. You may also want to review the SAS One Sample T-Test tutorial, also located in the Resources.

Practical Application Scenario 1

Often, it is interesting to know whether mean adjusted closing prices have changed from some base value. Suppose you are interested in whether the mean adjusted daily closing price for the stock you downloaded in Module 1 has increased from some base price (for example, $4 or $10 or . . .). For our purposes, we will assume that you are interested in whether the mean daily adjusted closing price has increased from the oldest daily adjusted closing price in your dataset (for example, the one from five years ago). Conduct a hypothesis test that the mean adjusted daily closing price has increased from the base price. Assume that the stock price is sufficiently normal to conduct a t-test. Note: you might also transform the stock to normality, that is, applying the natural logarithm.