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Statistical-econometric model used in performance analysis of the company

Author

Listed:
  • Madalina-Gabriela ANGHEL

    (“ARTIFEX” University of Bucharest)

  • Luminita Madalina CALOTA

    (“ARTIFEX” University of Bucharest)

Abstract

The objective of this article consists of analyzing the performances of a company by using the statistical-econometric model in order to obtain estimation of financial results. In this regard the correlation between the turnover and the average number of employees was analysed by applying the econometric model of simple regression. The final model was checked using specific tests, resulting that it observes the hypothesis of linear regression and that the results can be considered significant for the analysed data series. Also, in the static and dynamic analysis of the company’s evolution a series of statistical-mathematical could be applied methods, such as chronological series or index method. Based on the registered values in five consecutive timelines, there were calculated specific indicators of the chronological series like absolute changes of the studied characteristic, dynamic indexes, growth rhythm with fixed and mobile base or the average value of the studied characteristic.

Suggested Citation

  • Madalina-Gabriela ANGHEL & Luminita Madalina CALOTA, 2016. "Statistical-econometric model used in performance analysis of the company," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(10), pages 33-40, October.
    • Handle: RePEc:rsr:supplm:v:64:y:2016:i:10:p:33-40
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    References listed on IDEAS

    as
    1. Madalina Gabriela ANGHEL, 2014. "The System of Financial Analysis Indicators Applying to the Activity Run by an Economic Agent," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(7), pages 75-83, July.
    2. Georgi N. Boshnakov & Bisher M. Iqelan, 2009. "Generation Of Time Series Models With Given Spectral Properties," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(3), pages 349-368, May.
    3. Francis X. Diebold & Lutz Kilian & Marc Nerlove, 2006. "Time Series Analysis," PIER Working Paper Archive 06-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Diebold, F.X. & Kilian, L. & Nerlove, Marc, 2006. "Time Series Analysis," Working Papers 28556, University of Maryland, Department of Agricultural and Resource Economics.
    4. Omesh Kini & Shehzad Mian & Michael Rebello & Anand Venkateswaran, 2009. "On the Structure of Analyst Research Portfolios and Forecast Accuracy," Journal of Accounting Research, Wiley Blackwell, vol. 47(4), pages 867-909, September.
    5. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    6. Constantin Anghelache & Mario G.R. Pagliacci & Constantin Mitrut, 2015. "Statistical-Econometric Models used in Economic Analysis," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(4), pages 9-15, April.
    Full references (including those not matched with items on IDEAS)

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