Each student will be responsible for generating a sales forecast for a selected industry or multi-national firm using econometric methods,using a sales data set collected from the available Computation or Bloomberg systems. In addition, students must gather information on relevant measures of prices, income, advertising data, and other relevant (socio-economic) data to support the construction of a multi-variate regression model. The student must build the econometric model utilizing Excel or Eviews. Results of the analysis must include(a) an executive summary of the outcomes; (b) information supporting the choice of the variables, including the socio-economic variables(model specification), (c) detail concerning the model development and data acquired; (d) a sensitivity analysis for alternative scenarios,and interpretation of the elasticizes and the implication to pricing strategy; and (e) interpretation of the results with implications to business policy.
Pre-Written Pages: 7
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