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Динамички Коефицијенти: Нови Приступ У Анализи Солвентности Предузећа
[The Dynamic Coefficients: New Approach to the Analysis of Company’s Solvency]

Author

Listed:
  • Bukvić, Rajko
  • Pavlović, Radica

Abstract

Serbian. У чланку се разматра коришћење двају приступа анализи солвентности предузећа – традиционалног, заснованог на показатељима из биланса стања и биланса успеха, и новог, заснованог на показатељима из извештаја о кретању новчаних средстава. Уз помоћ дисперзионе анализе показано је да та два приступа резултирају значајно различитим оценама солвентности. То омогућује закључак, да за анализу солвентности (превасходно) треба користити и динамичке показатеље. English. The article considers the use of two approaches in the analysis of enterprise’s solvency – traditional, based on balance and profit and loses balance, and new, based on indicators from cash-flow report. With the analysis of variance, on the data for one of the branches of Serbian economy, it was showed, that these two approaches give significantly different estimates of enterprise’s solvency. It makes possible to conclude, that for analysis of solvency it is necessary to use too (at first) dynamic indicators.

Suggested Citation

  • Bukvić, Rajko & Pavlović, Radica, 2018. "Динамички Коефицијенти: Нови Приступ У Анализи Солвентности Предузећа [The Dynamic Coefficients: New Approach to the Analysis of Company’s Solvency]," MPRA Paper 94757, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:94757
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    References listed on IDEAS

    as
    1. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    2. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    3. Ahmad Ahmadpour Kasgari & Seyyed Hasan Salehnezhad & Fatemeh Ebadi, 2013. "A Review of Bankruptcy and its Prediction," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(4), pages 274-277, October.
    4. Mr. Jack Diamond, 2006. "Budget System Reform in Emerging Economies: The Challenges and the Reform Agenda," IMF Occasional Papers 2006/002, International Monetary Fund.
    5. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Солвентност; статички и динамички коефицијенти; дисперзиона анализа Solvency; static and dynamic indicators; analysis of variance;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General
    • M49 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Other
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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