Recall your work in forecasting completed in Unit 4 IP(see attached power point and instructors comments).
You are a regional manager of the ABC World Bank, and each year the cost of maintaining ATMs depletes
resources due to the additional cash demands during the Christmas season. In order to increase efficiency and
improve decisions about reloading network machines, your corporate bank manager has asked you to predict
the daily cash demand for the week after Thanksgiving for your region’s ATMs.
Using SAS Studio and SAS Forecast Studio, analyze the seasonal cash demands for a region’s ATMs using
the Box-Jenkins ARMA and ARIMA models. Take into consideration expected behavior of nonstationary
models, fitting, and seasonality.
For this assignment complete your analysis as follows:
Plot, graph, and analyze the results from your time series analysis of season ATM cash demand usage(see
attached excel spreadsheet). Based on your findings from Unit 4, prepare an executive paper. You will need to
include plots, graphs, examinations, results, and a “story board picture” of your time series analysis results.
Include a explanation of the information provided.
Sample Solution