This problem fits an ARIMA model to the logarithms monthly one-month T-bill rates in the data set Mishkin in the Ecdat package. Run the following code to get the variable:  15 library(Ecdat) 16...


This problem fits an ARIMA model to the logarithms monthly one-month T-bill rates in the data set Mishkin in the Ecdat package. Run the following code to get the variable:


 15 library(Ecdat)


16 data(Mishkin)


 17 tb1 = log(Mishkin[,3])


 (a) Use time series and ACF plots to determine the amount of differencing needed to obtain a stationary series.


 (b) Next use auto.arima to determine the best-fitting nonseasonal ARIMA models. Use both AIC and BIC and compare the results.


 (c) Examine the ACF of the residuals for the model you selected. Do you see any problems?



May 26, 2022
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