IDEAS home Printed from https://ideas.repec.org/a/kap/jmgtgv/v28y2024i4d10.1007_s10997-024-09707-x.html
   My bibliography  Save this article

The relationship between institutional investors’ holding in public firms and the level of corporate solvency

Author

Listed:
  • Yehuda Pivin

    (University of Haifa)

  • Yossi Yagil

    (University of Haifa, Haifa, Israel and Western Galilee College)

Abstract

Institutional investors are considered experienced, professional investors who also have the know-how to monitor and guide the companies in which they invest with regard to financial decisions that impact the firms’ solvency and corporate governance. We investigate whether there is an empirical relationship between the level of institutional investors’ holdings in publicly traded firms and the firms’ solvency. Using 9-years worth of data about 207 healthy and distressed American and Canadian public companies, we demonstrate a significant positive relationship between the firms’ solvency and the level of institutional investors’ holdings in the firms. This relationship is bidirectional. If the firm’s solvency level decreases, the institutional shareholders “vote with their feet” and reduce their ownership in the firm. Thus, changes in the level of institutional investors’ holdings in publicly traded firms provide other stakeholders with a signal about the potential solvency risks of these firms. Our study is the first to our knowledge that investigates empirically the direct relationship between the level of institutional investors’ holdings in a publicly traded firm and its odds of encountering financial distress.

Suggested Citation

  • Yehuda Pivin & Yossi Yagil, 2024. "The relationship between institutional investors’ holding in public firms and the level of corporate solvency," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 28(4), pages 1237-1256, December.
    • Handle: RePEc:kap:jmgtgv:v:28:y:2024:i:4:d:10.1007_s10997-024-09707-x
    DOI: 10.1007/s10997-024-09707-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10997-024-09707-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10997-024-09707-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tykvová, Tereza & Borell, Mariela, 2012. "Do private equity owners increase risk of financial distress and bankruptcy?," Journal of Corporate Finance, Elsevier, vol. 18(1), pages 138-150.
    2. Ulf Axelson & Tim Jenkinson & Per Strömberg & Michael S. Weisbach, 2013. "Borrow Cheap, Buy High? The Determinants of Leverage and Pricing in Buyouts," Journal of Finance, American Finance Association, vol. 68(6), pages 2223-2267, December.
    3. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    4. Sheaffer, Zachary & Honig, Benson & Zionit, Shaul & Yeheskel, Orly, 2011. "Radical changes, ideology, dwindling membership and financial distress: A macro longitudinal study," European Management Journal, Elsevier, vol. 29(4), pages 291-305, August.
    5. Das, Sanjiv R. & Hanouna, Paul & Sarin, Atulya, 2009. "Accounting-based versus market-based cross-sectional models of CDS spreads," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 719-730, April.
    6. Javeria Farooqi & Surendranath Jory & Thanh Ngo, 2017. "Institutional investors’ activism and credit ratings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(1), pages 51-77, January.
    7. Almamy, Jeehan & Aston, John & Ngwa, Leonard N., 2016. "An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK," Journal of Corporate Finance, Elsevier, vol. 36(C), pages 278-285.
    8. Berger, Allen N. & Bonaccorsi di Patti, Emilia, 2006. "Capital structure and firm performance: A new approach to testing agency theory and an application to the banking industry," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1065-1102, April.
    9. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    10. DeAngelo, Harry & DeAngelo, Linda & Whited, Toni M., 2011. "Capital structure dynamics and transitory debt," Journal of Financial Economics, Elsevier, vol. 99(2), pages 235-261, February.
    11. Lyandres, Evgeny & Zhdanov, Alexei, 2013. "Investment opportunities and bankruptcy prediction," Journal of Financial Markets, Elsevier, vol. 16(3), pages 439-476.
    12. Richard Whitaker, 1999. "The early stages of financial distress," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(2), pages 123-132, June.
    13. Purnanandam, Amiyatosh, 2008. "Financial distress and corporate risk management: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 87(3), pages 706-739, March.
    14. P. Du Jardin & E. Séverin, 2011. "Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model," Post-Print hal-00801878, HAL.
    15. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    16. Erwan Morellec & Boris Nikolov & Norman Schürhoff, 2012. "Corporate Governance and Capital Structure Dynamics," Journal of Finance, American Finance Association, vol. 67(3), pages 803-848, June.
    17. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    18. 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.
    19. Chung, Chune Young & Wang, Kainan, 2014. "Do institutional investors monitor management? Evidence from the relationship between institutional ownership and capital structure," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 203-233.
    20. Michel, Allen & Oded, Jacob & Shaked, Israel, 2020. "Institutional investors and firm performance: Evidence from IPOs," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    21. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    22. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    23. Cornett, Marcia Millon & Marcus, Alan J. & Saunders, Anthony & Tehranian, Hassan, 2007. "The impact of institutional ownership on corporate operating performance," Journal of Banking & Finance, Elsevier, vol. 31(6), pages 1771-1794, June.
    24. Margaritis, Dimitris & Psillaki, Maria, 2010. "Capital structure, equity ownership and firm performance," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 621-632, March.
    25. Colla, Paolo & Ippolito, Filippo & Wagner, Hannes F., 2012. "Leverage and pricing of debt in LBOs," Journal of Corporate Finance, Elsevier, vol. 18(1), pages 124-137.
    26. Harford, Jarrad & Humphery-Jenner, Mark & Powell, Ronan, 2012. "The sources of value destruction in acquisitions by entrenched managers," Journal of Financial Economics, Elsevier, vol. 106(2), pages 247-261.
    27. Fan, Joseph P.H. & Huang, Jun & Zhu, Ning, 2013. "Institutions, ownership structures, and distress resolution in China," Journal of Corporate Finance, Elsevier, vol. 23(C), pages 71-87.
    28. repec:eme:mfppss:mf-05-2020-0281 is not listed on IDEAS
    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. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    2. Gupta, Jairaj & Chaudhry, Sajid, 2019. "Mind the tail, or risk to fail," Journal of Business Research, Elsevier, vol. 99(C), pages 167-185.
    3. Abinzano, Isabel & Gonzalez-Urteaga, Ana & Muga, Luis & Sanchez, Santiago, 2020. "Performance of default-risk measures: the sample matters," Journal of Banking & Finance, Elsevier, vol. 120(C).
    4. John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.
    5. Elsayed, Mohamed & Elshandidy, Tamer, 2020. "Do narrative-related disclosures predict corporate failure? Evidence from UK non-financial publicly quoted firms," International Review of Financial Analysis, Elsevier, vol. 71(C).
    6. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
    7. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    8. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    9. 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.
    10. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    11. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    12. Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021. "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series 205, University of Pavia, Department of Economics and Management.
    13. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    14. Evangelos C. Charalambakis & Ian Garrett, 2019. "On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 467-491, February.
    15. 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.
    16. Huang, Hsing-Hua & Lee, Han-Hsing, 2013. "Product market competition and credit risk," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 324-340.
    17. Ángel Beade & Manuel Rodríguez & José Santos, 2024. "Multiperiod Bankruptcy Prediction Models with Interpretable Single Models," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1357-1390, September.
    18. Asis, Gonzalo & Chari, Anusha & Haas, Adam, 2021. "In search of distress risk in emerging markets," Journal of International Economics, Elsevier, vol. 131(C).
    19. Aggarwal, Nidhi & Singh, Manish K. & Thomas, Susan, 2023. "Do decreases in Distance-to-Default predict rating downgrades?," Economic Modelling, Elsevier, vol. 129(C).
    20. Charitou, Andreas & Dionysiou, Dionysia & Lambertides, Neophytos & Trigeorgis, Lenos, 2013. "Alternative bankruptcy prediction models using option-pricing theory," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2329-2341.

    More about this item

    Keywords

    Solvency; Risk assessment; Institutional investors; Ownership structure; Financial distress; Corporate governance;
    All these keywords.

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • 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

    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:kap:jmgtgv:v:28:y:2024:i:4:d:10.1007_s10997-024-09707-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.