The Journal of Economics, Marketing and Management (융합경영연구)

International Convergence Management Association (국제융합경영학회)
권호 표지
DOI QR코드

DOI QR Code

The Theoretical Features of Budgeting in the Corporation

  • Received : 2020.11.16
  • Accepted : 2021.02.25
  • Published : 2021.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: The forecasting is the likelihood scientifically proved judgment about the prospects, the possible conditions of this or that phenomenon in the future and (or) about the alternative ways and the means of their realization. To adapt the instruments of budgeting for the analysis cash flow of company. Research design, data and methodology: The creates the budget of cash flow were carried out on the basis of data of the report for the 2017 of corporations POSCO and in the first half of the 2018 Daewoo Shipbuilding & Marine Engineering of South Korea. Results: The simultaneous use of budgeting techniques and the simple financial analysis allows to systematize the transactions, to identify the main problem areas in the movement cash flows. Therefore, working capital analysis is to determine the limits of their fluctuations in view of the changes in the business processes. Conclusions: In the pedagogical context solved the features of budgeting in the part evaluation current assets, its financing, its elements: the cash, the debtor. In the process of budgeting of cash flow, in credit budget, in financial budget we can see the main indicators: the current assets, the functioning capital, the optimum number of debtors, the optimum amount of cash and another.

Keywords

References

  1. Adamov, V.E. (1977). The factorial, index analysis. The methodology and problems. Moscow, Russia: Moscow University Press.
  2. Aganbegyan, A.G. (1968). The economic and mathematical analysis. Moscow, Russia: Moscow University Press.
  3. Avilov, V. A. (1967). The mathematical-statistical methods of technical and economic analysis of production. Moscow, Russia: Paraclete Press.
  4. Ayvazyan, S.A. (1975). The algorithms of multi-dimensional statistical analysis and their application. Moscow, Russia: Paraclete Press.
  5. Dovba, A.S. (1970). The application of regression models for forecasting economic indicators. Moscow, Russia: Paraclete Press.
  6. Draper, N. (1987). The applied regression analysis. Part 1,2. Moscow, Russia: Finance and statistic.
  7. Dubrov, A.M. (1987). Methodology of statistical modelling and forecasting of socio-economic potential. Moscow, Russia: Paraclete Press.
  8. Dubrov, A.M. (1985). The application of mathematical methods in the economic researches. Moscow, Russia: Moscow University Press.
  9. Ermolaev, Y. M. (1979). The Stochastic models and methods in the economic planning. Moscow, Russia: Moscow University Press.
  10. Ezekeel, M. (1966). The methods of analysis of correlations and regressions of linear and curvilinear. Moscow, Russia: Izhevsk Press.
  11. Huttson, A. (1971). The dispersion analysis. Moscow, Russia: Statistics.
  12. Iberla, K. (1980). The factorial analysis. Moscow, Russia: Moscow University Press.
  13. Kim, D., Mueller, U. (1989). The factor, discriminant and cluster analysis. Moscow, Russia: Moscow University Press.
  14. Kovaleva, L. N. (1980). The multifactorial forecasting on the basis of series of dynamics. Moscow, Russia: PressPass LLC
  15. Masov, P.P. (1959). The statistics and econometrics. Moscow, Russia: Izhevsk Press.
  16. Rao, S. R. (1968). The linear statistical methods and their application. Moscow, Russia: Clever-Publishers
  17. Sheffe, G. (1963). The dispersive analysis. Moscow, Russia: FisMathLit.
  18. Teil, G. (1970). The applied economic forecasting. Moscow, Russia: Progress.
  19. Zayger, E. M. (1974). The application of factorial analysis in the economic and statistical research. Moscow, Russia: Statistics.