DBPapers
DOI: 10.5593/sgem2017/53/S21.078

PREDICTION OF THE CONSTRUCTION COMPANY SALES DEVELOPMENT BY USING TIME SERIES ANALYSIS METHOD - LINEAR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATIONS

E. Ondruskova, E.Vitkova
Wednesday 13 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-10-2 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 53, 629-636 pp, DOI: 10.5593/sgem2017/53/S21.078

ABSTRACT

Information regarding activity on the market provides valuable source for the future managerial decisions of each company. They are very important for achieving company strategic goals which represent part of a long-term strategic management concept of the company. Highly-valued information concerns especially the sales and the expenses development. Development of set company’s values can be predicted to a certain extent using mathematical methods. Company can adequately respond to its future predicted state of variables which significantly affects company result. The aim of this paper is to perform sales development prediction for the chosen company with the use of a selected mathematical method which is time series analysis method. This prediction is modified by the amount of adjustment determined on the basis of verifying the accuracy of the sales prediction of the previous years. This method was chosen based on the obtained values of the coefficient of determination. Linear Regression Model with Logarithmic Transformations was chosen.

Keywords: company, prediction, sales, time series analysis method