IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v64y2016i9p81-87.html
   My bibliography  Save this article

Significant aspects regarding the analysis of bankruptcy risk

Author

Listed:
  • Constantin Anghelache

    (Bucharest University of Economic Studies, “ARTIFEX” University of Bucharest)

  • Alexandru Manole

    (“ARTIFEX” University of Bucharest)

  • Madalina Anghel

    (“ARTIFEX” University of Bucharest)

  • Mugurel Popovici

    (“ARTIFEX” University of Bucharest)

  • Marius Popovici

    (Bucharest University of Economic Studies)

Abstract

From the theoretical and many time practical point of view, an economic agent always faces the risk of bankruptcy. This may have negative consequences, with complex implications on the entire activity of the economic agent, as well as on other entities which are in contact with that economic agent. The bankruptcy risk may be defined as the impossibility of companies of facing a financial-banking transaction, respectively its incapacity of reimbursing in time the borrowed sums of money in the commonly agreed conditions with the third parties, based on o credit contract. It may be the result of some difficulties which couldn’t be identified initially at the moment of analysis and at the moment of evaluation and credit approval but appeared once the contract was implemented.

Suggested Citation

  • Constantin Anghelache & Alexandru Manole & Madalina Anghel & Mugurel Popovici & Marius Popovici, 2016. "Significant aspects regarding the analysis of bankruptcy risk," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(9), pages 81-87, September.
  • Handle: RePEc:rsr:supplm:v:64:y:2016:i:9:p:81-87
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/supliment/wp-content/uploads/2016/09/RRSS_09_2016_A7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dániel Holló & Márton Nagy, 2006. "Analysis of banking system efficiency in the European Union," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 1(1), pages 21-26, June.
    2. Costis Skiadas, 2013. "Smooth Ambiguity Aversion toward Small Risks and Continuous-Time Recursive Utility," Journal of Political Economy, University of Chicago Press, vol. 121(4), pages 000.
    3. Gert Wehinger, 2012. "Bank deleveraging, the move from bank to market-based financing, and SME financing," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2012(1), pages 65-79.
    4. Andrew Ang & Joseph Chen & Yuhang Xing, 2006. "Downside Risk," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1191-1239.
      • Andrew Ang & Joseph Chen & Yuhang Xing, 2005. "Downside risk," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    5. Lars Peter Hansen & John C. Heaton & Nan Li, 2008. "Consumption Strikes Back? Measuring Long-Run Risk," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 260-302, April.
    6. Lars Norden & Stefan van Kampen, 2015. "The Dynamics of Trade Credit and Bank Debt in SME Finance: International Evidence," RBA Annual Conference Volume (Discontinued), in: Angus Moore & John Simon (ed.),Small Business Conditions and Finance, Reserve Bank of Australia.
    7. Ravi Bansal, 2007. "Long-run risks and financial markets," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 283-300.
    8. Taylor, Jonathan, 2003. "Risk-taking behavior in mutual fund tournaments," Journal of Economic Behavior & Organization, Elsevier, vol. 50(3), pages 373-383, March.
    9. JULES H. Van BINSBERGEN & JOHN R. GRAHAM & JIE YANG, 2010. "The Cost of Debt," Journal of Finance, American Finance Association, vol. 65(6), pages 2089-2136, December.
    10. Hengjie Ai, 2010. "Information Quality and Long‐Run Risk: Asset Pricing Implications," Journal of Finance, American Finance Association, vol. 65(4), pages 1333-1367, August.
    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. Larry G. Epstein & Emmanuel Farhi & Tomasz Strzalecki, 2014. "How Much Would You Pay to Resolve Long-Run Risk?," American Economic Review, American Economic Association, vol. 104(9), pages 2680-2697, September.
    2. Hengjie Ai & Ravi Bansal, 2016. "Risk Preferences and The Macro Announcement Premium," NBER Working Papers 22527, National Bureau of Economic Research, Inc.
    3. Lars Peter Hansen & Jianjun Miao, 2022. "Asset pricing under smooth ambiguity in continuous time," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(2), pages 335-371, September.
    4. Kwan, Yum K. & Leung, Charles Ka Yui & Dong, Jinyue, 2015. "Comparing consumption-based asset pricing models: The case of an Asian city," Journal of Housing Economics, Elsevier, vol. 28(C), pages 18-41.
    5. Segal, Gill & Shaliastovich, Ivan & Yaron, Amir, 2015. "Good and bad uncertainty: Macroeconomic and financial market implications," Journal of Financial Economics, Elsevier, vol. 117(2), pages 369-397.
    6. Kim, Yongjin & Kuehn, Lars-Alexander & Li, Kai, 2024. "Learning about the consumption risk exposure of firms," Journal of Financial Economics, Elsevier, vol. 152(C).
    7. Anisha Ghosh & George M Constantinides, 2021. "What Information Drives Asset Prices? [Information quality and long-run risk: Asset pricing implications]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(4), pages 837-885.
    8. Aurelian DIACONU & Doina AVRAM, 2017. "General Aspects of Risk and Uncertainty in Making Financial – Economic Decisions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 40-50, June.
    9. Ravi Bansal & Ivan Shaliastovich, 2010. "Confidence Risk and Asset Prices," American Economic Review, American Economic Association, vol. 100(2), pages 537-541, May.
    10. Ravi Bansal & Ivan Shaliastovich, 2011. "Learning and Asset-price Jumps," The Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2738-2780.
    11. Pakoš, Michal, 2013. "Long-run risk and hidden growth persistence," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1911-1928.
    12. Munk, Claus, 2015. "Financial Asset Pricing Theory," OUP Catalogue, Oxford University Press, number 9780198716457.
    13. Abhyankar, Abhay & Klinkowska, Olga & Lee, Soyeon, 2015. "Consumption risk and the cross-section of government bond returns," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 180-200.
    14. Yu Chen & Thomas Cosimano & Alex Himonas & Peter Kelly, 2014. "An Analytic Approach for Stochastic Differential Utility for Endowment and Production Economies," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 397-443, December.
    15. Claude Bergeron, 2013. "Dividend growth, stock valuation, and long-run risk," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(4), pages 547-559, October.
    16. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    17. Stefano d¡¦Addona, 2018. "Rational Ignorance in Long-run Risk Models," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 17(1), pages 43-54, June.
    18. Michal Pakos & Hui Chen, 2008. "Asset Pricing with Uncertainty About the Long Run," 2008 Meeting Papers 295, Society for Economic Dynamics.
    19. Dimitrios D. Thomakos & Michail S. Koubouros, 2011. "The Role of Realised Volatility in the Athens Stock Exchange," Multinational Finance Journal, Multinational Finance Journal, vol. 15(1-2), pages 87-124, March - J.
    20. Borovička, Jaroslav & Hansen, Lars Peter, 2014. "Examining macroeconomic models through the lens of asset pricing," Journal of Econometrics, Elsevier, vol. 183(1), pages 67-90.

    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:rsr:supplm:v:64:y:2016:i:9:p:81-87. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.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.