Predicting the Market Potential Using Time Series Analysis
Keywords:
Time Series, Mini Store, Forecasting, Business, PredictionAbstract
The aim of this analysis is to forecast a mini-market sales volume for the period of twelve months starting August 2015 to August 2016. The study is based on the monthly sales in Iraqi Dinar for a private local mini-market for the month of April 2014 to July 2015. As revealed on the graph and of course if the stagnant economic condition continues, the trend of future sales is down-warding. Based on time series analysis, the business may continue to operate and generate small revenues until August 2016. However, due to low sales volume, low profit margin and operating expenses, the revenues may not be adequate enough to produce positive net income and the business may not be able to operate afterward. The principal question rose from this is the forecasting sales in the region will be difficult where the business cycle so dynamic and revolutionary due to systematic risks and unforeseeable future.
References
Armstrong, J. S. (1983). Strategic Planning and Forecasting Fundamentals. New York: McGraw Hill.
Bass, F.M., & Pilon, T.L. (1980). A stochastic brand choice framework for econometric modeling of
time series market share behavior. Journal of Marketing Research, 17, 486–497.
Carpenter, G.S., Cooper, L.G., Hanssens, D.M., & Midgley, D.F. (1988). Modeling asymmetric
competition. Marketing Science, 7, 393–412.
Charles C. (2009). Demand-Driven Forecasting: A Structured Approach to Forecasting (Wiley and SAS
Business Series). Wiley, 248.
Chowdhury, A.R. (1994). Advertising expenditures and the macro-economy: Some new evidence.
International Journal of Advertising, 13, 1–14.
David, F. R. (2011). Strategic Management: Concepts and Cases. New Jersey, Pearson Education.
Doyle, P., & Saunders, J. (1985). The lead effect of marketing decisions. Journal of Marketing Research
(22), 54–65.
Franses, P.H. (1991). Primary demand for beer in the Netherlands: An application of ARMAX model
specification. Journal of Marketing Research, 28, 240–245.
Hill B., & Kendall M.G. (1953). The Analysis of Economic Time-Series- Part I: Prices. Journal of the
Royal Statistical Society, 116(1), 11-34.
Jacobson, R., & Nicosia, F.M. (1981). Advertising and public policy: The macroeconomic effects of
advertising. Journal of Marketing Research, 18, 29–38.
Leeflang, P.S.H., & Wittink, D.R. (2000). Building models for marketing decisions: Past, present and
future. International Journal of Research in Marketing, 17, 105–126.
Lutkepohl, H., & Reimers, H.E. (1992). Impulse response analysis of cointegrated systems. Journal of
Economic Dynamics and Control, 16, 53–78.
McCullough, B.D., & Waldon, T. (1998). The substitutability of network and national spot television
advertising. Quarterly Journal of Business and Economics, 37, 3–15.
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