Applying Econometric Modelling of Time Series for Analysis and Making Product Cost Forecasts (by the Example of NE «LRP “MOTOR”»)

Authors

  • Svitlana Begun Lesya Ukrainka Eastern European National University , , , Східноєвропейський національний університет імені Лесі Українки
  • Kateryna Sliepchenko Lesya Ukrainka Eastern European National University , , , Східноєвропейський національний університет імені Лесі Українки

DOI:

https://doi.org/10.29038/2411-4014-2016-01-121-126

Keywords:

time series, econometric modelling, product costing, analytical smoothing, seasonal components, moving average

Abstract

In the article, we researched dynamic series of product cost using the reporting data of the NE «LRP “Motor”. We suggest applying econometric modelling inasmuch as it can help conduct the complex analysis not only in short periods, but also in the large scope dynamics. In our opinion,implementing this method will give an opportunity to make effective trend forecasts and thus, provide accurate analytical maintenance for the enterprise in the field of product costing. Article has both scientific and high practical value.

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Published

2016-04-03

How to Cite

[1]
2016. Applying Econometric Modelling of Time Series for Analysis and Making Product Cost Forecasts (by the Example of NE «LRP “MOTOR”»). Economic journal of Lesya Ukrainka Volyn National University. 1, 5 (Apr. 2016), 121–126. DOI:https://doi.org/10.29038/2411-4014-2016-01-121-126.