IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2022i1p72-93.html
   My bibliography  Save this article

Is the Corporate Solvency Conundrum Primarily a Balkan Issue or a Broader European Continental Misunderstanding?

Author

Listed:
  • Vladan Pavlovic
  • Goranka Knezevic
  • Antonio Andre Cunha Callado

Abstract

As a consequence of the coronavirus outbreak, the corporate “(in)solvency” issue will probably be one of the most frequently discussed topics in the business and economics fields. We analysed the meaning of the term solvency and the solvency assessment methodology in the papers published in the journals indexed in SSCI from 01.01.2017 to 31.12.2019. We have found that the term “solvency” is inadequately used by the authors from Roman law countries, particularly by those who are from the East European countries. We have also found that the inadequate use of the solvency assessment methodology is conditioned by the scientific field of the researchers. The further the authors are from the legal and accounting fields, the more they are inclined to misuse the term (in)solvent and to introduce the solvency ratio. Finally, we explained the probable origin of this confusion.

Suggested Citation

  • Vladan Pavlovic & Goranka Knezevic & Antonio Andre Cunha Callado, 2022. "Is the Corporate Solvency Conundrum Primarily a Balkan Issue or a Broader European Continental Misunderstanding?," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 72-93.
  • Handle: RePEc:bas:econst:y:2022:i:1:p:72-93
    as

    Download full text from publisher

    File URL: https://www.iki.bas.bg/Journals/EconomicStudies/2022/2022-1/05_Vladan-Pavlovic.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cuong Le Van & Paulina Navrouzoglou & Yiannis Vailakis, 2019. "On endogenous formation of price expectations," Post-Print hal-03261223, HAL.
    2. Jakob Kapeller & Michael A Landesmann & Franz X Mohr & Bernhard Schütz, 2018. "Government policies and financial crises: mitigation, postponement or prevention? [Net fiscal stimulus during the Great Recession]," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(2), pages 309-330.
    3. Grice, John Stephen & Dugan, Michael T, 2001. "The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher," Review of Quantitative Finance and Accounting, Springer, vol. 17(2), pages 151-166, September.
    4. Marco Lamieri & Ilaria Sangalli, 2019. "The propagation of liquidity imbalances in manufacturing supply chains: evidence from a spatial auto-regressive approach," The European Journal of Finance, Taylor & Francis Journals, vol. 25(15), pages 1377-1401, October.
    5. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    6. Esteban Pérez Caldentey & Nicole Favreau Negront & Luis Méndez Lobos, 2019. "Corporate debt in Latin America and its macroeconomic implications," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 42(3), pages 335-362, July.
    7. Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03380580, HAL.
    8. Eugene Frimpong & Jamie Kruse & Gregory Howard & Rachel Davidson & Joseph Trainor & Linda Nozick, 2019. "Measuring Heterogeneous Price Effects for Home Acquisition Programs in At‐Risk Regions," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1108-1131, April.
    9. Zhang, Weihong & Wang, Kecheng & Li, Ling & Chen, Yong & Wang, Xinmeng, 2018. "The impact of firms' mergers and acquisitions on their performance in emerging economies," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 208-216.
    10. Mare, Davide Salvatore & Moreira, Fernando & Rossi, Roberto, 2017. "Nonstationary Z-Score measures," European Journal of Operational Research, Elsevier, vol. 260(1), pages 348-358.
    11. Baig, Ahmed & Winters, Drew B., 2018. "A preferred habitat for liquidity in term repos: Before, during and after the financial crisis," Journal of Economics and Business, Elsevier, vol. 99(C), pages 1-14.
    12. Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03529325, HAL.
    13. Bardoscia, Marco & Barucca, Paolo & Codd, Adam Brinley & Hill, John, 2019. "Forward-looking solvency contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    14. Brittany Harker Martin, 2017. "Unsticking the status quo," Management Research Review, Emerald Group Publishing Limited, vol. 40(2), pages 122-141, February.
    15. Ana Kundid Novokmet & Andrijana Rogošiæ, 2017. "Long-Term Financial Effects of Quality Management System Maturity Based on ISO 9001 Principles," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(S11), pages 1003-1003.
    16. Le Van, Cuong & Navrouzoglou, Paulina & Vailakis, Yiannis, 2019. "On endogenous formation of price expectations," Games and Economic Behavior, Elsevier, vol. 115(C), pages 436-458.
    17. Cuong Le Van & Paulina Navrouzoglou & Yiannis Vailakis, 2019. "On endogenous formation of price expectations," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03261223, HAL.
    18. Georgeta Vintilă & Ştefan Cristian Gherghina & Radu Alin Păunescu, 2018. "Study of Effective Corporate Tax Rate and Its Influential Factors: Empirical Evidence from Emerging European Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(3), pages 571-590, February.
    19. Elmore, Bartow J., 2018. "The Commercial Ecology of Scavenger Capitalism: Monsanto, Fossil Fuels, and the Remaking of a Chemical Giant," Enterprise & Society, Cambridge University Press, vol. 19(1), pages 153-178, March.
    20. Tomás Gómez-Navarro & Mónica García-Melón & Francisco Guijarro & Marion Preuss, 2018. "Methodology to assess the market value of companies according to their financial and social responsibility aspects: An AHP approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(10), pages 1599-1608, October.
    21. Shahrokhi, Manuchehr, 2011. "The Global Financial Crises of 2007–2010 and the future of capitalism," Global Finance Journal, Elsevier, vol. 22(3), pages 193-210.
    22. Cuong Le Van & Paulina Navrouzoglou & Yiannis Vailakis, 2019. "On endogenous formation of price expectations," PSE-Ecole d'économie de Paris (Postprint) hal-03261223, HAL.
    23. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vladan Pavlovic & Goranka Knezevic & Antonio Andre Cunha Callado, 2023. "Misunderstanding of Corporate Insolvency and Solvency Assessment Methodology – How Did the Logic Run Away?," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 132-144.

    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. Bravo-Urquiza, Francisco & Moreno-Ureba, Elena, 2021. "Does compliance with corporate governance codes help to mitigate financial distress?," Research in International Business and Finance, Elsevier, vol. 55(C).
    2. Mselmi, Nada & Hamza, Taher & Lahiani, Amine & Shahbaz, Muhammad, 2019. "Pricing corporate financial distress: Empirical evidence from the French stock market," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 13-27.
    3. Seiler, Volker & Fanenbruck, Katharina Maria, 2021. "Acceptance of digital investment solutions: The case of robo advisory in Germany," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Youssef Zizi & Mohamed Oudgou & Abdeslam El Moudden, 2020. "Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach," Risks, MDPI, vol. 8(4), pages 1-21, October.
    5. 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).
    6. Vladislav V. Afanasev & Yulia A. Tarasova, 2022. "Default Prediction for Housing and Utilities Management Firms Using Non-Financial Data," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 91-110, December.
    7. Alexandra Horobet & Stefania Cristina Curea & Alexandra Smedoiu Popoviciu & Cosmin-Alin Botoroga & Lucian Belascu & Dan Gabriel Dumitrescu, 2021. "Solvency Risk and Corporate Performance: A Case Study on European Retailers," JRFM, MDPI, vol. 14(11), pages 1-34, November.
    8. ElBannan, Mona A., 2021. "On the prediction of financial distress in emerging markets: What matters more? Empirical evidence from Arab spring countries," Emerging Markets Review, Elsevier, vol. 47(C).
    9. Sanjay Sehgal & Ritesh Kumar Mishra & Ajay Jaisawal, 2021. "A search for macroeconomic determinants of corporate financial distress," Indian Economic Review, Springer, vol. 56(2), pages 435-461, December.
    10. Carmona, Pedro & Dwekat, Aladdin & Mardawi, Zeena, 2022. "No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure," Research in International Business and Finance, Elsevier, vol. 61(C).
    11. Christophe Schalck & Meryem Yankol-Schalck, 2021. "Predicting French SME failures: new evidence from machine learning techniques," Applied Economics, Taylor & Francis Journals, vol. 53(51), pages 5948-5963, November.
    12. Youssef Zizi & Amine Jamali-Alaoui & Badreddine El Goumi & Mohamed Oudgou & Abdeslam El Moudden, 2021. "An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression," Risks, MDPI, vol. 9(11), pages 1-24, November.
    13. Pham, Tho & Talavera, Oleksandr & Wood, Geoffrey & Yin, Shuxing, 2022. "Quality of working environment and corporate financial distress," Finance Research Letters, Elsevier, vol. 46(PB).
    14. Khoja, Layla & Chipulu, Maxwell & Jayasekera, Ranadeva, 2019. "Analysis of financial distress cross countries: Using macroeconomic, industrial indicators and accounting data," International Review of Financial Analysis, Elsevier, vol. 66(C).
    15. Oliver Lukason & María-del-Mar Camacho-Miñano, 2019. "Bankruptcy Risk, Its Financial Determinants and Reporting Delays: Do Managers Have Anything to Hide?," Risks, MDPI, vol. 7(3), pages 1-15, July.
    16. Daniel Ogachi & Richard Ndege & Peter Gaturu & Zeman Zoltan, 2020. "Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya," JRFM, MDPI, vol. 13(3), pages 1-14, March.
    17. Fernández-Gámez, Manuel Ángel & Soria, Juan Antonio Campos & Santos, José António C. & Alaminos, David, 2020. "European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors," Economic Modelling, Elsevier, vol. 88(C), pages 398-407.
    18. Gradojevic, Nikola & Kukolj, Dragan & Adcock, Robert & Djakovic, Vladimir, 2023. "Forecasting Bitcoin with technical analysis: A not-so-random forest?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 1-17.
    19. Yang Liu & Qingguo Zeng & Bobo Li & Lili Ma & Joaquín Ordieres‐Meré, 2022. "Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1131-1155, September.
    20. Oz, Ibrahim Onur & Yelkenci, Tezer & Meral, Gorkem, 2021. "The role of earnings components and machine learning on the revelation of deteriorating firm performance," International Review of Financial Analysis, Elsevier, vol. 77(C).

    More about this item

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • K22 - Law and Economics - - Regulation and Business Law - - - Business and Securities Law

    Statistics

    Access and download statistics

    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:bas:econst:y:2022:i:1:p:72-93. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.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.