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Comparative Analysis Of Bankruptcy Risk For Some Romanian Societies Listed On Bucharest Stock Exchange

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  • FIRESCU VICTORIA

    (UNIVERSITY OF PITESTI, ROMANIA)

  • POPESCU JENICA

    (UNIVERSITY OF CRAIOVA, ROMANIA)

  • POPA BOGDAN

    (UNIVERSITY OF CRAIOVA, ROMANIA)

Abstract

In the present, risks are always present, but this thing doesn’t mean that the society can’t carry on the economic activity in conditions of a favorable result. Through the risks to which the entity is subject, an important place is the risk of bankruptcy. The level of this risk can be determined by using of large number of liquidity and solvability indicators on the base of dates from the balance of accounts and from the profit and loosing cont. In this paper is analyzed by comparison the risk of bankruptcy of companies listed at Bucharest Stock Exchange from three sectors of activity: production, commerce and tourism. It is analyzed the evolution of score Z, indicator representative for the risk of bankruptcy, on a period of 14 years (2002-2015), enough for every society and sector. The sample of 15 enterprises has been formed on basis of information available for this research. After analysis of results, we notice that the best results concerning the risk of bankruptcy are recorded in the commerce sector and on the last place is situated the tourism sector. In an future approach we will continue the research on a larger number of enterprises, and we will analyze the cause that lead to bankruptcy of societies, emphasizing to elaborate a systems which lead to a lower level the risk of bankruptcy.

Suggested Citation

  • Firescu Victoria & Popescu Jenica & Popa Bogdan, 2017. "Comparative Analysis Of Bankruptcy Risk For Some Romanian Societies Listed On Bucharest Stock Exchange," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 138-146, December.
    • Handle: RePEc:cbu:jrnlec:y:2017:v:6:p:138-146
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    References listed on IDEAS

    as
    1. Daniel BRÎNDESCU – OLARIU, 2014. "The Potential Of The Equity Working Capital In The Prediction Of Bankruptcy," Management Intercultural, Romanian Foundation for Business Intelligence, Editorial Department, issue 31, pages 25-32, November.
    2. Hamadi Matoussi & Rim Mouelhi & Sayah Salah, 1999. "La Prediction De Faillite Des Entreprises Tunisiennes Par La Regression Logistique," Post-Print halshs-00587769, HAL.
    3. Jatinder Pal Singh, 2017. "Hedge accounting under IFRS 9: an analysis of reforms," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 15(145), pages 103-103, February.
    4. 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.
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