Profiling Winding up Companies and Reason for Not Rescuing their Business
DOI:
https://doi.org/10.24191/jas.v18i2.2666Keywords:
Corporate rescue, Financial distress, Liquidation, Rehabilitation, Winding-upAbstract
The old regime of corporate rescue seems to be suitable for larger companies which left small companies with no option other than seeking winding up, which involves liquidation and dissolution process. Corporate Rescue Mechanism is a new rescue mechanism introduced by the Companies Commission of Malaysia (CCM) in March 2018 to help small and medium enterprises (SMEs) under financial distress rescue their businesses and avoid liquidation. This study investigates and profiles why a company resorts to winding up. This study used a purposive sampling technique to select the sample of companies to be involved in the study. This study used secondary data which is accessible from the 2017 to 2019 winding up statistics/reports of the Malaysia Department of Insolvency. This study employed a descriptive statistic to analyse the data. Results reveal that the key reason behind the choice made by the financially distressed company is the inability to pay debts. In addition, an inherent risk related to the specific nature of business sectors, such as trade, wholesale and retail, construction and financial, insurance, property and investment services is expected to have a high tendency to opt for winding up instead of rescuing or rehabilitating their business. Furthermore, small (in terms of capital amount) and young companies (age or year of operation) tend to be vulnerable to winding up. The findings of the study can assist business owners and business rescue practitioners guide distressed companies in making better decisions (rescue or dissolve) and to plan and manage their business operations efficiently. The policy maker may consider helping small companies by providing funding with lower or zero interest and longer payback periods. It is hoped that the new Malaysian corporate rescue mechanism can help enhance the ability of the company to survive and sustain for a longer period.
References
Abdullah, A., Gan C.K., & Tee, Y.K. (2016). Recent Developments of Corporate Insolvency Law in Malaysia. International Journal of Humanities and Social Science Invention, 5(12), 33-37.
Abdullah, S.N. (2006). Board Structure and Ownership in Malaysia: The Case of Distress Listed Companies. Corporate Governance, 6(5), 582-594.
Abdullah, NAH., Halim, A., Ahmad, H., & Rus, Md.R. (2008). Predicting Corporate Failure of Malaysia’s Listed Companies: Comparing Multiple Discriminat Analysis, Logistic Regression and the Hazard Model. International Research Journal of Finance and Economics, 15(2008), 201-217.
Alfaro, Esteban., Garcia, Noelia., Gamez, Matias., & Elizondo, David. (2008). Bankruptcy forecasting: An Empirical Comparison of AdaBoost and Neural Networks. Decision Support System, 45(1), 110-122.
Altman, E. I., Haldeman, R.G., & Narayanan, P. (1977). Zeta Analysis – A new Model to Identify Bankruptcy Risk of Corporations. Journal of Banking and Finance, 1(1), 29-51.
Altman, E. I. (1984). The Success of Business Failure Prediction Models – An International Survey. Journal of Banking and Finance, 8(2), 171-198.
Altman, E. I., Marco, Giancarlo., & Varetto, Franco. (1994). Corporate Distress Diagnosis: Comparisons Using Linear Discriminants Analysis and Neural Networks (the Italian experience). Journal of Banking & Finance, 18(3), 505-529.
Armour, J. (2001). The Law and Economic of Corporate Insolvency: A review. ESRC Centre for Business Research, University of Cambridge Working Paper no 197. https://edisciplinas.usp.br/pluginfile.php/35886/mod_resource/content/1/CHY%20The%20Law%20and%20Economics%20of%20Corporate%20Insolvency.pdf
Bidin, A., Khan, S. & Tan, O. (2012). Protection of Employees' Entitlements in Cases of Employer Insolvency in Malaysia. International Journal of Business & Society, 13 (2), 209 – 223.
Bidin, A., Khan, S. & Tan, O. (2014) Recent Developments of Insolvency and Restructuring in Malaysia. Australian Journal of Basic and Applied Sciences, 8(1), 508-512.
Casey, A. (2011). The Creditors’ Bargain Theory and Option-Preservation Priority in Chapter 11. The University of Chicago Law Review. 78(3).
Chan, J.K.W., Tam, C.M. & Cheung, R.K.C (2005). Construction Firms at the Crossroads in Hong kong: Going Insolvency or Seeking Opportunity. Engineering, Construction and Architectural Management, 12(2), 111-124. Retrieved from https://doi.org/10.1108/09699980510584476.
Chan W.M. (2017). Essential Company Law in Malaysia: Navigating the Companies Act 2016. Subang Jaya, Malaysia: Sweet & Maxwell.
Chen, T.W., Azmi, R., & Abdul-Rahman, R. (2020). Paradigm Shift From a Liquidation Culture to a Rescue Culture in Malaysia: A Legal Review. International Insolvency Review, 29(2), 181-203.
Chen, T.W., Azmi, R., & Abdul-Rahman, R. (2020). Whither the Scheme of Arrangement in Malaysia with the Arrival of Corporate Rescue Mechanism? Commonwealth Law Bulletin, 46(3), 537-570.
Companies Act 2016 (777), International Law Book Services.
Companies Commission of Malaysia. (2020). Number of Registered Companies and Business. Retrieved from https://www.ssm.com.my/Pages/Publication/Statistics/Companies%20and%20Business%20Registered/Company%20and%20Business%20Registered%20Statistic%20for%202020/Company-and-Business-Registered-Statistic-2020.aspx.
Department of Statistic Malaysia. (2020). Malaysia Economic Statistic Review (MESR) vol 2 2020. https://newss.statistics.gov.my/newss-portalx/ep/epDownloadContentSearch.seam?cid=995447.
Dikmen, I., Talat Birgonul, M., Ozorhon, B. & Egilmezer Sapci, N. (2010). Using Analytic Network Process
to Assess Business Failure Risk of Construction Firms. Engineering, Construction and Architectural Management, 17(4), 369-386. Retrieved from https://doi.org/10.1108/09699981011056574.
Goodwin, Andrew. (2012). Corporate Rescue in Asia – Trends and Challenges. Sidney L. Rev. 163.
Halim, A., Mohd Daud, SN, Rizal Mazlan, A., & Marzuki, A. (2008). Macroeconomic Determinants of Corporate Failures in Malaysia. International Journal of Business Management, March 2008, 3-10.
Heracleous, K., & Werres, K. (2016). On the Road to Disaster: Strategic Misalignments and Corporate Failure. Long Range Planning, 49(4) 491-506. Retrieved from https://doi.org/10.1016/j.lrp.2015.08.006.
Hong, S. C. (1983). A Bankruptcy Outcome: Model and Empirical Test. Working Paper, University of California at Berkeley, (March).
Hsu, Hwa-Hsien., & Wu, Yu-Hsuan Cloe. (2014). Board Composition, Grey Directors and Corporate Failure in the UK. The British Accounting Review, 46(3), 215-227.
Hua, Zhongsheng., & Wang Yu., Xu, Xiaoyan., Zhang, Bin., & Liang, Liang. (2007). Predicting Corporate Financial Ditress based on Integration of Support Vector Machine And Logistic Regression. Expert Systems with Application, 33(2), 434-440. Retrieved from https://doi.org/10.1016/j.eswa.2006.05.006.
Jagafa, K. & Wood, GD. (2012) A turn-around Model for Construction Company Rescue: Failure to Success. Engineering Project Organisation Conference, Rheden, The Netherlands. University of Salford Manchester. Retrieved from.http://www.epossociety.org/EPOC2012/Papers/Jagafa.
Johnsen, Thomajean., & Melicher, Ronald W. (1994). Predicting Corporate Bankruptcy and Financial Distress: Information Value Added by Multinomial Logit Models. Journal of Economics and Business, 46(4), 269-286.
Keay, A. & Walton, P. (2005) Insolvency Law: Corporate and Personal, UK: Pearson.
Khan, S., Tan, O. & Bidin, A. (2014). Recent Development of Insolvency and Restructuring in Malaysia. Australia Journal of Basic and Applied Sciences, 8(1), 508-512.
Kosmidis, K. & Stavropoulos, A. (2014), Corporate Failure Diagnosis in SMEs: A Longitudinal Analysis Based on Alternative Prediction Models", International Journal of Accounting & Information Management, 22(1), 49-67. Retrieved from https://doi.org/10.1108/IJAIM-01-2013-0001.
Lee, Shih. October (2020). Judicial Management Statistics in Malaysia. The Malaysian Lawyer.com. https://themalaysianlawyer.com/2020/10/28/judicial-management-statistics-malaysia/.
Lin, Feng Yu., & McClean, Sally. (2001) A Data Mining Approach to Prediction of Corporate Failure. Applications and Innovations in Intelligent Systems VIII, 93-106.
Mokal, Riz. (2005). Corporate Insolvency Law - Theory and Application. Available at SSRN: https://ssrn.com/abstract=701402.
Liou, Fen-May., & Yang, Chien-Hui., (2008).Predicting business failure under the existence of fraudulent financial reporting. International Journal of Accounting and Information Management, 16(1), 74-86.
Lokman, N., Mohd-Khudzairi, J. & Othman, S. (2020). Rehabilitating Ailing Malaysian Companies Using the New Corporate Rescue Mechanism. Journal of Administrative Science, 17(1), 96-104.
LoPucki, L. M. (1983). The Debtor in Full Control-System Failure under Chapter 11 of Bankruptcy Code American Bankruptcy Law Journal. 571, 99-126
Malaysian Department of Insolvency (2020). Bankruptcy Statistics. http://www.mdi.gov.my/index.php/legislation/bankruptcy.
Malaysian SME Corporation. (2013). SME Definition. https://www.smecorp.gov.my/index.php/en/policies/2020-02-11-08-01-24/sme-definition/87-definisi-pks-sme-info
Minderjeet Kaur (2020 July, 29). Over 4,000 Companies Shut Down Since April. Free Malaysia Today. Retrieved from https://www.freemalaysiatoday.com/category/nation/2020/07/29/over-4000-companies-shut-down-since-april/.
Nsubuga, H. (2016). Corporate Insolvency and Employment Protection: A Theoretical Perspective (December 26, 2016). (2016) 4(1) NIBLeJ 4; ACCESS EUROPE Research Paper. Retrieved from https://ssrn.com/abstract=2951793.
Ong, S., Choong Yap, V., & Khong, RWL. (2011). Corporate Failure Prediction: A Study of Public Listed Companies in Malaysia. Managerial Finance, 37(6), 553-564. Retrieved from https://doi.org/10.1108/03074351111134745.
Pandit, Naresh R., Cook, Gary. A.S., Milman, David., & Chittenden, Francis. C. (2000). Corporate Rescue: Empirical Evidence on Company Voluntary Arrangements and Small Firms. Journal of Small Business and Enterprise Development, 7(3), 241-254. Retrieved from https://doi.org/10.1108/EUM0000000006846.
Platt, Harlan D., & Platt, Marjorie B. (2006). Understanding Differences Between Financial Distress and Bankruptcy. Review of Applied Economics, 2(2), 141-157.
Senbet, L.W, & Wang, T.Y. (2012), "Corporate Financial Distress and Bankruptcy: A Survey", Foundations and Trends in Finance, 5(4), 243-335. Retrieved from http://dx.doi.org/10.1561/0500000009.
Segarajasingham, Shanti. (2012). Viable Revival Mechanism for Companies in Distress: A Critical Analysis. What is Corporate Rescue? International Journal of Business, Economics and Law. 1, 130-136.
Sensini, L. (2016). An Empirical Analysis of Financial Distressed Italian Companies. International Business Research, 9(10), 75-85.
Sharma, D.S. (2001). The Role of Cash Flow Information in Predicting Corporate Failure: The State of The Literature. Managerial Finance, 27(4), 3-28.
Sulaiman, M., Jili, A. & Sanda A.U. (2001), Predicting Corporate Failure in Malaysia: An Application of the Logit Model to Financial Ratio Analysis. Asian Academy of Management Journal, 6(1), 99-118.
Uğurlu, M. & Aksoy, H. (2006). Prediction of Corporate Financial Distress in an Emerging Market: The Case of Turkey. Cross Cultural Management: An International Journal, 13(4), 277-295. Retrieved from https://doi.org/10.1108/13527600610713396.
Webb, D. C. (1991). An Economic Evaluation of Insolvency Procedures in the United Kingdom: Does the 1986 Insolvency Act Satisfy the Creditors' Bargain? Oxford Economic Papers, 43(1), 139–157. Retrieved from https://doi.org/10.1093/oxfordjournals.oep.a041983.
Wood, J. M. (2013). Corporate Rescue: A Critical Analysis of Its Fundamentals and Existence. PhD thesis, University of Leeds.
Wu, W. W. (2010). Beyond Business Failure Prediction. Expert System with Applications, 37(3), 2371-2376. Retrieved from https://doi.org/10.1016/j.eswa.2009.07.056.
Yim, Juliana., & Mitchell, Heather. (2007). Predicting Financial Distress in the Australian Financial Service Industry. Australian Economic Papers, 46(4), 375-388.
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