Use the data set ford_amazon_2017, which has the 2017 daily change in stock prices (adjusted for splits and dividends) for Ford and Amazon.
a. Estimate an AR(2) model for both Ford and Amazon stock-price changes, using robust standard errors. Conduct individual and joint tests of significance of the lagged stock-price changes at the 5% significance level. b. Estimate an autoregressive-distributed-lag model by regressing the change in Ford’s stock price on the lagged change in Ford’s and Amazon’s stock price, using robust standard errors. What can you conclude?
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