IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v59y2022i4d10.1007_s11156-022-01076-6.html
   My bibliography  Save this article

Prediction of corporate recovery in Malaysia

Author

Listed:
  • Philip Sinnadurai

    (Independent Researcher)

  • Norashikin Ismail

    (Universiti Teknologi Mara, Cawangan Kampus Selangor)

  • Noor Marini Haji-Abdullah

    (Universiti Teknologi Mara Cawangan Kelantan)

Abstract

Using data from Malaysia, this paper investigates prediction of recovery by distressed companies, during the period 2001–2016. A unique feature of Malaysia is Practice Note 17, a listing rule imposing extra disclosure requirements on financially distressed companies. Our methodology entails logistic regressions. Traditional corporate recovery prediction models are estimated, using financial statement indices and ratios as independent variables. These models are augmented with additional independent variables, indicators of the severity of financial distress and the type of regularization plan. The models are estimated using a treatment sample of 121 companies that entered financial distress during the investigation period. Each financial statement index, for each treatment observation, is calculated relative to the counterpart index of an individual control-match observation. We selected each individual control- match, from a sample of control observations in the same industry-year (defined narrowly) as the relevant treatment observation. Selection of the individual control-match is on the basis of proximity to the relevant treatment observation, with respect to the continuous variables used in the study. The results support our hypotheses. They suggest that distressed companies are more likely to recover if their distress is diagnosed at early stages. The results also indicate that distressed companies are more likely to recover if they pursue an operational versus strategic recovery plan.

Suggested Citation

  • Philip Sinnadurai & Norashikin Ismail & Noor Marini Haji-Abdullah, 2022. "Prediction of corporate recovery in Malaysia," Review of Quantitative Finance and Accounting, Springer, vol. 59(4), pages 1303-1334, November.
  • Handle: RePEc:kap:rqfnac:v:59:y:2022:i:4:d:10.1007_s11156-022-01076-6
    DOI: 10.1007/s11156-022-01076-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11156-022-01076-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11156-022-01076-6?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. Bliss, Mark A. & Gul, Ferdinand A., 2012. "Political connection and cost of debt: Some Malaysian evidence," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1520-1527.
    2. Shayan-Nia, Mojtaba & Sinnadurai, Philip & Mohd-Sanusi, Zuraidah & Hermawan, Ancella-NIa Anitawati, 2017. "How efficient ownership structure monitors income manipulation? Evidence of real earnings management among Malaysian firms," Research in International Business and Finance, Elsevier, vol. 41(C), pages 54-66.
    3. Wu, Y. & Gaunt, C. & Gray, S., 2010. "A comparison of alternative bankruptcy prediction models," Journal of Contemporary Accounting and Economics, Elsevier, vol. 6(1), pages 34-45.
    4. Andreas Charitou & Neophytos Lambertides & Lenos Trigeorgis, 2007. "Earnings Behaviour of Financially Distressed Firms: The Role of Institutional Ownership," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 271-296, September.
    5. Kane, Gregory D & Richardson, Frederick M, 2002. "The Relationship between Changes in Fixed Plant Investment and the Likelihood of Emergence from Corporate Financial Distress," Review of Quantitative Finance and Accounting, Springer, vol. 18(3), pages 259-272, May.
    6. Rebecca L. Rosner, 2003. "Earnings Manipulation in Failing Firms," Contemporary Accounting Research, John Wiley & Sons, vol. 20(2), pages 361-408, June.
    7. Kun Tracy Wang & Greg Shailer, 2018. "Does Ownership Identity Matter? A Meta‐analysis of Research on Firm Financial Performance in Relation to Government versus Private Ownership," Abacus, Accounting Foundation, University of Sydney, vol. 54(1), pages 1-35, March.
    8. 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.
    9. 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.
    10. Burgstahler, David & Jiambalvo, James & Noreen, Eric, 1989. "Changes in the probability of bankruptcy and equity value," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 207-224, July.
    11. 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.
    12. Wu-Lung Li & Kenneth Zheng, 2017. "Product market competition and cost stickiness," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 283-313, August.
    13. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    14. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    15. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    16. 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.
    17. Jian Cao & Thomas R. Kubick & Adi N. S. Masli, 2017. "Do corporate payouts signal going-concern risk for auditors? Evidence from audit reports for companies in financial distress," Review of Quantitative Finance and Accounting, Springer, vol. 49(3), pages 599-631, October.
    18. Feng Li & Russell Lundholm & Michael Minnis, 2013. "A Measure of Competition Based on 10‐K Filings," Journal of Accounting Research, Wiley Blackwell, vol. 51(2), pages 399-436, May.
    19. Boubaker, Sabri & Hamza, Taher & Vidal-García, Javier, 2018. "Financial distress and equity returns: A leverage-augmented three-factor model," Research in International Business and Finance, Elsevier, vol. 46(C), pages 1-15.
    20. Karuna, Christo, 2007. "Industry product market competition and managerial incentives," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 275-297, July.
    21. Yi Jiang & Stewart Jones, 2018. "Corporate distress prediction in China: a machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(4), pages 1063-1109, December.
    22. Fraser, Donald R. & Zhang, Hao & Derashid, Chek, 2006. "Capital structure and political patronage: The case of Malaysia," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1291-1308, April.
    23. Stijn Claessens & Joseph P. H. Fan, 2002. "Corporate Governance in Asia: A Survey," International Review of Finance, International Review of Finance Ltd., vol. 3(2), pages 71-103, June.
    24. Ali, Ashiq & Klasa, Sandy & Yeung, Eric, 2014. "Industry concentration and corporate disclosure policy," Journal of Accounting and Economics, Elsevier, vol. 58(2), pages 240-264.
    25. Johnson, Simon & Mitton, Todd, 2003. "Cronyism and capital controls: evidence from Malaysia," Journal of Financial Economics, Elsevier, vol. 67(2), pages 351-382, February.
    26. Gregory Kane & Frederick Richardson & Uma Velury, 2006. "The Relevance of Stock and Flow-Based Reporting Information In Assessing the Likelihood of Emergence from Corporate Financial Distress," Review of Quantitative Finance and Accounting, Springer, vol. 26(1), pages 5-22, February.
    27. Mara Faccio, 2006. "Politically Connected Firms," American Economic Review, American Economic Association, vol. 96(1), pages 369-386, March.
    28. Beaver, Wh, 1968. "Market Prices, Financial Ratios, And Prediction Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 179-192.
    29. Eliezer Fich & Steve Slezak, 2008. "Can corporate governance save distressed firms from bankruptcy? An empirical analysis," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 225-251, February.
    30. repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
    31. Juan García Lara & Beatriz Osma & Evi Neophytou, 2009. "Earnings quality in ex‐post failed firms," Accounting and Business Research, Taylor & Francis Journals, vol. 39(2), pages 119-138.
    32. Jikon Lai, 2012. "Khazanah Nasional: Malaysia's treasure trove," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 17(2), pages 236-252.
    33. Kerry Anne Bodle & Patti J. Cybinski & Reza Monem, 2016. "Effect of IFRS adoption on financial reporting quality," Accounting Research Journal, Emerald Group Publishing Limited, vol. 29(3), pages 292-312, September.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Ashraf, Sumaira & Félix, Elisabete G.S. & Serrasqueiro, Zélia, 2020. "Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market," Journal of Multinational Financial Management, Elsevier, vol. 57.
    7. Polsiri, Piruna & Jiraporn, Pornsit, 2012. "Political connections, ownership structure, and financial institution failure," Journal of Multinational Financial Management, Elsevier, vol. 22(1), pages 39-53.
    8. Qunfeng LIAO & Seyed MEHDIAN, 2016. "Measuring Financial Distress And Predicting Corporate Bankruptcy: An Index Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 17, pages 33-51, June.
    9. Dawen Yan & Guotai Chi & Kin Keung Lai, 2020. "Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models," Mathematics, MDPI, vol. 8(8), pages 1-27, August.
    10. Jun Hyeok Choi & Saerona Kim & Dong-Hoon Yang & Kwanghee Cho, 2021. "Can Corporate Social Responsibility Decrease the Negative Influence of Financial Distress on Accounting Quality?," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    11. du Jardin, Philippe & Séverin, Eric, 2012. "Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time," European Journal of Operational Research, Elsevier, vol. 221(2), pages 378-396.
    12. Chien-Min Kang & Ming-Chieh Wang & Lin Lin, 2022. "Financial Distress Prediction of Cooperative Financial Institutions—Evidence for Taiwan Credit Unions," IJFS, MDPI, vol. 10(2), pages 1-25, April.
    13. Jackson, Richard H.G. & Wood, Anthony, 2013. "The performance of insolvency prediction and credit risk models in the UK: A comparative study," The British Accounting Review, Elsevier, vol. 45(3), pages 183-202.
    14. Bhanu Pratap Singh & Alok Kumar Mishra, 2016. "Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-28, December.
    15. Manzaneque, Montserrat & Priego, Alba María & Merino, Elena, 2016. "Corporate governance effect on financial distress likelihood: Evidence from Spain," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 111-121.
    16. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Bankruptcy prediction for private firms in developing economies: a scoping review and guidance for future research," Management Review Quarterly, Springer, vol. 72(4), pages 927-966, December.
    17. Philippe Jardin & David Veganzones & Eric Séverin, 2019. "Forecasting Corporate Bankruptcy Using Accrual-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 7-43, June.
    18. Nawaf Almaskati & Ron Bird & Yue Lu & Danny Leung, 2019. "The Role of Corporate Governance and Estimation Methods in Predicting Bankruptcy," Working Papers in Economics 19/16, University of Waikato.
    19. Casado Yusta, Silvia & Nœ–ez Letamendía, Laura & Pacheco Bonrostro, Joaqu’n Antonio, 2018. "Predicting Corporate Failure: The GRASP-LOGIT Model || Predicci—n de la quiebra empresarial: el modelo GRASP-LOGIT," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 294-314, Diciembre.
    20. Juan García Lara & Beatriz Osma & Evi Neophytou, 2009. "Earnings quality in ex‐post failed firms," Accounting and Business Research, Taylor & Francis Journals, vol. 39(2), pages 119-138.

    More about this item

    Keywords

    Financial distress; Corporate recovery; Malaysia; Practice Note 17;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

    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:rqfnac:v:59:y:2022:i:4:d:10.1007_s11156-022-01076-6. 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://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.