A researcher is interested in finding out how the past average daily values of the stock prices of a firm A determine the current average daily value of its stock price. Let pt ( measured in dollars) denote the average daily value of the stock price of firm A at time t. The researcher collects data on the average daily values of the stock prices of the last quarter of 2017, i.e., t = 1,2, dots,90 and estimates the following autoregressive model with 1 lag of pt: hat(p)t = 2.48 +.05pt.1bar (R)² = 0.512, SER = 13.14. (1.13) (0.64) The standard errors are given in parentheses. Suppose that the actual average daily value of the stock price on January 2, 2018 was $506.12 and the average daily value of the stock price on December 31, 2017 was $445.12. The forecast error in the estimation of the average daily value of the stock price on January 2, 2018 will be $ (Round your answer to two decimal places.)
A researcher is interested in finding out how the past average daily values of the stock prices of a firm A determine the current average daily value of its stock price. Let pt ( measured in dollars) denote the average daily value of the stock price of firm A at time t. The researcher collects data on the average daily values of the stock prices of the last quarter of 2017, i.e., t = 1,2, dots,90 and estimates the following autoregressive model with 1 lag of pt: hat(p)t = 2.48 +.05pt.1bar (R)² = 0.512, SER = 13.14. (1.13) (0.64) The standard errors are given in parentheses. Suppose that the actual average daily value of the stock price on January 2, 2018 was $506.12 and the average daily value of the stock price on December 31, 2017 was $445.12. The forecast error in the estimation of the average daily value of the stock price on January 2, 2018 will be $ (Round your answer to two decimal places.) This is all the info in the question
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