IDEAS home Printed from https://ideas.repec.org/p/gtr/gatrjs/jfbr141.html
   My bibliography  Save this paper

Determinants of the Success of Corporate Recovery in Financial Distressed Company

Author

Listed:
  • Giriati

    (University of Tanjungpura Pontianak, Indonesia Author-2-Name: Mustaruddin Author-2-Workplace-Name: University of Tanjungpura Pontianak, Indonesia Author-3-Name: M. Rustam Author-3-Workplace-Name: University of Tanjungpura Pontianak, Indonesia Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

Objective - This study aims to examine and analyze the influence of severity, free assets, company size, asset retrenchment and CEO expertise on the success of recovery companies experiencing financial distress that are listed on the Indonesian Stock Exchange (IDX). Methodology/Technique - The population used in this study are all companies listed on the Indonesian Stock Exchange between 2011 and 2016. This study uses a simple logistic regression analysis to test the hypotheses. Findings - The results indicate that free assets and CEO expertise have a significant and positive effect on the success of a company's recovery. Meanwhile, variable severity, asset retrenchment and firm size do not affect the success of the company's recovery.

Suggested Citation

  • Giriati, 2018. "Determinants of the Success of Corporate Recovery in Financial Distressed Company," GATR Journals jfbr141, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jfbr141
    as

    Download full text from publisher

    File URL: http://gatrenterprise.com/GATRJournals/pdf_files/JFBR%20Vol%203(2)/1.Giriati.pdf
    Download Restriction: http://gatrenterprise.com/GATRJournals/online_submission.html
    ---><---

    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. 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.
    2. Gerry Johnson, 1986. "Corporate recovery: Successful turnaround strategies and their implementation, Stuart Slatter, Penguin, London, 1984. No. of pages: 429. Price £6.95," Strategic Management Journal, Wiley Blackwell, vol. 7(1), pages 99-100, January.
    3. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    4. Syahida Binti & Zeni & Rashid Ameer, 2010. "Turnaround prediction of distressed companies: evidence from Malaysia," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 8(2), pages 143-159, October.
    5. Laurie W. Paint, 1991. "An Investigation Of Industry And Firm Structural Characteristics In Corporate Turnarounds," Journal of Management Studies, Wiley Blackwell, vol. 28(6), pages 623-643, November.
    6. Mensah, Ym, 1984. "An Examination Of The Stationarity Of Multivariate Bankruptcy Prediction Models - A Methodological Study," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 380-395.
    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. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    2. Harlan D. Platt & Marjorie B. Platt, 2008. "Financial Distress Comparison Across Three Global Regions," JRFM, MDPI, vol. 1(1), pages 1-34, December.
    3. T.G. Saji, 2018. "Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector," Vision, , vol. 22(1), pages 50-60, March.
    4. Dr. Giriati, 2021. "Turnaround Prediction Model with Content Dimension on Financial Distressed Firms," GATR Journals jfbr182, Global Academy of Training and Research (GATR) Enterprise.
    5. 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.
    6. Sami Ben Jabeur & Youssef Fahmi, 2014. "Les modèles de prévision de la défaillance des entreprises françaises : une approche comparative," Working Papers 2014-317, Department of Research, Ipag Business School.
    7. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    8. Platt, Harlan D. & Platt, Marjorie B., 2006. "Understanding Differences Between Financial Distress and Bankruptcy," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 2(2), pages 1-17.
    9. Yufei Cao & Abdulmajeed Mawhan H. Alfadhli & Mohammad Jaradat & Ramona Lile & Mihaela Gadoiu & Mariana Banuta & Daniela Mihai & Malik Shahzad Shabbir, 2024. "The impact of accounting practices on financial sustainability: A study of external block-holders and institutional ownership," Review of Managerial Science, Springer, vol. 18(7), pages 1945-1961, July.
    10. Philippe Jardin, 2021. "Forecasting bankruptcy using biclustering and neural network-based ensembles," Annals of Operations Research, Springer, vol. 299(1), pages 531-566, April.
    11. Cakir, Murat, 2005. "Firma Başarısızlığının Dinamiklerinin Belirlenmesinde Makina Öğrenmesi Teknikleri: Ampirik Uygulamalar ve Karşılaştırmalı Analiz [Machine Learning Techniques in Determining the Dynamics of Corporat," MPRA Paper 55975, University Library of Munich, Germany.
    12. Leila Bateni & Farshid Asghari, 2020. "Bankruptcy Prediction Using Logit and Genetic Algorithm Models: A Comparative Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 335-348, January.
    13. Sofie Balcaen & Sophie Manigart & Hubert Ooghe, 2011. "From distress to exit: determinants of the time to exit," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 407-446, August.
    14. Talam, Camilla & Kiemo, Samuel, 2024. "Interest rate risk in Kenya: The banking sector stability and fiscal risks nexus," KBA Centre for Research on Financial Markets and Policy Working Paper Series 80, Kenya Bankers Association (KBA).
    15. Arati Kale & Devendra Kale & Sriram Villupuram, 2024. "Decomposition of risk for small size and low book-to-market stocks," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 96-112, February.
    16. Taieb Hamadi & Sami El Omari, & Wafa Khlif, 2012. "Poids De L'Avis De L'Expert Comptable Judiciaire Dans La Decision Du Juge En Matiere De Redressement Judiciaire : Cas De La Tunisie," Post-Print hal-00937922, HAL.
    17. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
    18. Galya Taseva, 2020. "Determinants of Short-term Liabilities of Financially Distressed SME-s," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 5-24.
    19. Chiuling Lu & Ann Yang & Jui-Feng Huang, 2015. "Bankruptcy predictions for U.S. air carrier operations: a study of financial data," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 574-589, July.
    20. Weimin Liu & Di Luo & Seyoung Park & Huainan Zhao, 2022. "The cross‐sectional return predictability of employment growth: A liquidity risk explanation," The Financial Review, Eastern Finance Association, vol. 57(1), pages 155-178, February.

    More about this item

    Keywords

    Turnaround/Recovery; ? Severity; Free Assets; Company Size; Asset Retrenchment; CEO Expertise.;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G39 - Financial Economics - - Corporate Finance and Governance - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gtr:gatrjs:jfbr141. 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: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: http://gatrenterprise.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.