IDEAS home Printed from https://ideas.repec.org/a/cbu/jrnlec/y2015v6p249-256.html
   My bibliography  Save this article

Analysis Models Of The Bankruptcy Risk In Romania’S Energy Sector

Author

Listed:
  • MIRON VASILE CRISTIAN IOACHIM

    (“1 DECEMBRIE 1918” UNIVERSITY OF ALBA IULIA)

  • VOICULESCU ALINA

    (“1 DECEMBRIE 1918” UNIVERSITY OF ALBA IULIA)

  • POPA (JELER) IOANA

    (“1 DECEMBRIE 1918” UNIVERSITY OF ALBA IULIA)

Abstract

The risk, as a concept found in the economic sphere of business represents an analysis area often approached by researchers from the finance and accounting field. Although it is often seen, along with cost-effectiveness and value, as a fundamental element of finance (Stancu, I., 2007), the risk has often facets that make it useful also in analyzing other sides of the economic sphere of business, such as financial position and economic performance of it. From these meanings, we believe that the most suitable for this purpose is the one through which it is analyzed the ability of an entity to avoid bankruptcy. The present study has as main objectives the presentation of bankruptcy risk of an entity from a theoretical point of view and the analysis (from an empirical and comparative point of view) through the scoring method of the implementation of various models for analyzing the risk of bankruptcy (Altman, Conan-holder, Taffler, Robertson) in Romania’s energy sector, in order to issue an opinion regarding the optimal method for analyzing the bankruptcy risk in the energy sector. The results show that there are significant differences regarding the analysis of the bankruptcy risk through the appliction of different models, proposing the Conan-Holder model as the most appropriate for this sector.

Suggested Citation

  • Miron Vasile Cristian Ioachim & Voiculescu Alina & Popa (Jeler) Ioana, 2015. "Analysis Models Of The Bankruptcy Risk In Romania’S Energy Sector," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 249-256, December.
  • Handle: RePEc:cbu:jrnlec:y:2015:v:6:p:249-256
    as

    Download full text from publisher

    File URL: http://www.utgjiu.ro/revista/ec/pdf/2015-06/35_Miron,%20Voiculescu.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pierre-Cyrille Hautcoeur & Nadine Levratto, 2006. "Does the law alone explain the rise in bankruptcies in XIXth century France?," PSE Working Papers halshs-00589125, HAL.
    2. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    3. Miguel García-Posada & Juan Mora-Sanguinetti, 2014. "Are there alternatives to bankruptcy? A study of small business distress in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 287-332, August.
    4. Magdalena Mosionek-Schweda, 2014. "The Use Of Discriminant Analysis To Predict The Bankruptcy Of Companies Listed On The Newconnect Market," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(3), pages 87-105, September.
    5. Mihai Bogdan PETRISOR & Dan LUPU, 2013. "The Forecast Of Bankruptcy Risk Using Altman Model," The USV Annals of Economics and Public Administration, Stefan cel Mare University of Suceava, Romania, Faculty of Economics and Public Administration, vol. 13(2(18)), pages 155-162, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fejér-Király Gergely, 2015. "Bankruptcy Prediction: A Survey on Evolution, Critiques, and Solutions," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 3(1), pages 93-108, December.
    2. Balteș Nicolae & Pavel Ruxandra Maria, 2019. "Assessment of the Insolvency Risk in Companies Listed on the Bucharest Stock Exchange," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(4), pages 58-71, December.
    3. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    4. Marcus Box & Karl Gratzer & Xiang Lin, 2020. "Destructive entrepreneurship in the small business sector: bankruptcy fraud in Sweden, 1830–2010," Small Business Economics, Springer, vol. 54(2), pages 437-457, February.
    5. Ornella Wanda Maietta & Fernanda Mazzotta, 2018. "Firm Survival and Innovation: Knowledge Context Matters!," CSEF Working Papers 496, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    6. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    7. Haoming Wang & Xiangdong Liu, 2021. "Undersampling bankruptcy prediction: Taiwan bankruptcy data," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
    8. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    9. Ayadi, Rim & Abid, Ilyes & Guesmi, Khaled, 2021. "Survival of reorganized firms in France," Finance Research Letters, Elsevier, vol. 38(C).
    10. Campa, Domenico & Camacho-Miñano, María-del-Mar, 2015. "The impact of SME’s pre-bankruptcy financial distress on earnings management tools," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 222-234.
    11. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    12. Bottasso, Anna & Conti, Maurizio & Sulis, Giovanni, 2017. "Firm dynamics and employment protection: Evidence from sectoral data," Labour Economics, Elsevier, vol. 48(C), pages 35-53.
    13. H. Ooghe & S. De Prijcker, 2006. "Failure process and causes of company bankruptcy: a typology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/388, Ghent University, Faculty of Economics and Business Administration.
    14. Jain Mayank & Malik Taniya & Malik Sakshi, 2023. "Deciphering Financial Health and Risk: Hierarchical Relationships and Interdependencies among Key Factors," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 11(1), pages 162-185, October.
    15. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    16. Jiang, Cuiqing & Zhou, Yiru & Chen, Bo, 2023. "Mining semantic features in patent text for financial distress prediction," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    17. du Jardin, Philippe & Séverin, Eric, 2011. "Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model," MPRA Paper 44262, University Library of Munich, Germany.
    18. Wolfgang Karl Härdle & Dedy Dwi Prastyo, 2013. "Default Risk Calculation based on Predictor Selection for the Southeast Asian Industry," SFB 649 Discussion Papers SFB649DP2013-037, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    19. Marco Celentani & Miguel García-Posada & Fernando Gómez Pomar, 2022. "Fresh start policies and small business activity: evidence from a natural experiment," Working Papers 2210, Banco de España.
    20. Õie Renata Siimon & Oliver Lukason, 2021. "A Decision Support System for Corporate Tax Arrears Prediction," Sustainability, MDPI, vol. 13(15), pages 1-23, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbu:jrnlec:y:2015:v:6:p:249-256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ecobici Nicolae (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.