Performance Indicators of Management Buyouts Using the Analytic Hierarchy Process Method

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Abstract

Background and Purpose: In Slovenia, few management buyout (MBO) studies have been carried out. The focus was mostly on the motives for acquisition of companies and the success rate of the acquisitions. This paper aims to analyse the indicators which suggest an impending bankruptcy or financial restructuring of companies and explore how these indicators are different for successful and unsuccessful MBOs.

Methodology: In the survey, we included 23 selected MBOs in Slovenia between 2005 and 2008, using the following financial and non-financial indicators: profitability, performance, solvency and liquidity, using the analytic hierarchy process method. The key aim of the survey was to use financial and non-financial indicators to study if target companies where bankruptcy or financial restructuring has not yet been initiated prevalently have higher aggregate values compared to those in which bankruptcy or financial restructuring procedures have already begun. Thus, we used the selected indicators to demonstrate one of the possible methods to predict the success of a particular MBO.

Results: We found that in most examples of unsuccessful MBOs, target companies have poorer results in terms of performance, solvency and liquidity, when compared to successful MBOs. Based on the selected areas, we divided the results into four quarters. We found that most target companies where MBOs had been unsuccessful are ranked in a lower quarter than most of the target companies where the MBOs had been successful.

Conclusion: The papers main contribution is the finding that the selected financial and non-financial indicators differ in cases of successful and unsuccessful MBOs. This knowledge helps us to find ways of avoiding these situations in the future.

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  • AJPES. (2016). Poslovanje gospodarskih družb v letu 2016 [Business performace of companies in 2016]. AJPES. Retrieved July 1 2017 from AJPES https://www.ajpes.si/novica/Poslovanje_gospodarskih_druzb_v_letu_2016?id=328.

  • Aliakbari S. (2009). Prediction of Corporate Bankruptcy for the UK Firms in Manufacturing Industry. Brunel University. Retrieved October 31 2016 from Brunel University http://people.brunel.ac.uk/~ecpgssa1/Thesis.pdf.

  • Altman E. I. (1968). Financial Ratios Discriminant Analysis and the prediction of Corporate Bankruptcy. The Journal of Finance 23(4) 589-609 http://doi.org/10.2307/2978933

  • Altman E. I. Sabato G. & Wilson N. (2010). The value of non-financial information in small and medium-sized enterprise risk management. The Journal of Credit Risk 6(2) 1-33.

  • Amendola A. Giordano F. Parrella M. L. & Restaino M. (2017). Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction. Applied Stochastic Models in Business and Industry 33(4) 355-368 http://doi.org/10.1002/asmb.2240

  • Amess K. & Wright M. (2007). Barbarians at the Gate? Leveraged Buyouts private Equity and Jobs. Social Science Research Network. Retrieved May 1 2015 from Social Science Research Network http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1034178

  • Anabtawi I. (2015). Predatory Management Buyouts. UC Davis Law Review 49 (4) 1-46.

  • Andrade G. & Kaplan S. N. (1998). How Costly Is Financial (Not Economic) Distress? Evidence from Highly Leveraged Transactions That Became Distressed. The Journal of Finance 53 (5) 1443-1493 http://doi.org/10.3386/w6145

  • Arrington C. E. Hillison W. & Jensen R. E. (1984). An application of Analytical Hierarchy Process to Model Expert Judgment on Analytical Review Procedures. Journal of Accounting Research 22(1) 298-312 http://doi.org/10.2307/2490711

  • Aruldoss M Travis M. L. Venkatesan V. P. (2015). A reference model for business intelligence to predict bankruptcy. Journal of Enterprise Information Management 28(2) 186-217 http://doi.org/10.1108/JEIM-09-2013-0069

  • Bagchi P. & Rao R. P. (1992). Decision Making in Mergers: An Application of the Analytic Hierarchy Process. Managerial and Decision Economics 13(2) 91-99.

  • Balcaen S. & Ooghe H. (2006). 35 Years of studies on business failure: an overview of the classic statistical methodologies and their related problems. British Accounting Review 38(1) 63-93 http://doi.org/10.1016/j.bar.2005.09.001

  • Barbuta-Misu N. & Codreanu E. (2014). Analysis and prediction of the bankruptcy risk in Romania building sector companies. Ekonomika 93(2) 131-146.

  • Beaver W. H. (1966). Financial ratios as predictors to failure. Journal of Accounting Research 4(3) 71-111 http://doi.org/10.2307/2490171

  • Bellovary J. Giacomino D. & Akers M. (2007). A review of Bankruptcy Prediction Studies: 1930-Present. Journal of Financial Education 33 1-42

  • Belton V. & Stewart T. J. (2002). Multiple Criteria Desicion Analysis – An Integrated Approach. Boston: Kluwer Academic Publishers.

  • Bešter J. (1996). Prevzemi podjetij in njihovi učinki na delničarje managerje zaposlene upnike in državo [Acquisitions of companies and their effects on shareholders managers employees creditors and the state]. Ljubljana: Gospodarski vestnik.

  • Bolster P. J. Janjigian V. & Trahan A. E. (1995). Determining Investor Suitability Using the Analytic Hierarchy Process. Financial Analysts Journal 51(4) 63-75 http://doi.org/10.2469/faj.v51.n4.1922

  • Cain D. M. & Davidoff Solomon S. M. (2011). Form over Substance – The Value of Corporate Process and Management Buy-Outs. Delaware Journal of Corporate Law 36 849-902.

  • Cheng C.-L. (2012). The use of financial ratios to predict bankruptcy: A study of the board of directors on corporate performance. ProQuest. Retrieved October 31 2016 from ProQuest http://search.proquest.com.ezproxy.lib.ukm.si/pqdtglobal/docview/962410782/fulltextPDF/62834F5015D64241PQ/8?accountid=28931

  • Clark C. E. Foster P. L. Morgan K. M. & Webster G. H. (1997). Judgmental approach to forecasting bankruptcy. The Journal of Business Forecasting Methods and Systems 16 (4) 14-18.

  • Courtis J. K. (1978). Modelling a financial ratios categoric framework. Journal of Business Finance and Accounting 5(4) 371-386.

  • Cressy R. Munari F. & Malipiero A. (2007). Creative Destruction? UK Evidence that Buyouts Cut Jobs to Raise Returns. Venture capital: An international Journal of Entrepreneurial Finance 13(1) 1-23.

  • Čančer V. (2003). Analiza odločanja [Decision Analysis]. Maribor: Ekonomsko-poslovna fakulteta.

  • Čančer V. (2005). Multi-criteria decision-making methods for complex management problems: a case of benchmarking. Manažment v teorii a praxi 1(1) 12-24.

  • Čančer V. Bobek V. & Korez-Vide R. (2006). A contribution to the measurement and analysis of the globalization of national economies. Društvena istraživanja 83(3) 531-555.

  • Čančer V. (2009). Uporaba analitičnega hierarhičnega procesa pri večkriterijskem finančnem odločanju [Using the analytical hierarchical process in multi-criteria financial decision-making]. In Zbornik referatov XXIV. posvetovanja društva računovodij finančnikov in revizorjev (pp. 146-159). Maribor: Društvo računovodij finančnikov in revizorjev.

  • Čančer V. (2012). Criteria weighting by using the 5Ws & H technique. Business System Research 3(2) 41-48 http://doi.org/10.2478/v10305-012-0011-3

  • Čančer V. & Mulej M. (2013). Multi-criteria decision making in creative problem solving. Kybernetes: The International Journal of Systems & Cybernetics 42(1) 67-81 http://doi.org/10.1108/03684921311295484

  • Damodaran A. (2001). Corporate Finance: Theory and Practice. New York: John Wiley & Sons Inc.

  • DePamphilis D. M. (2003). Mergers Acquisitions and Other Restructuring Activities. London: Academic Press an imprint of Elsevier.

  • DePamphilis D. M. (2012). Mergers Acquisitions and Other Restructuring Activities. London: Academic Press an imprint of Elsevier.

  • Dimitras A. Zanakis S. & Zopudinis C. (1996). A survey of business failures with an emphasis on failure prediction methods and industrial applications. European Journal of Operational Research 90(3) 487-513 http://doi.org/10.1016/0377-2217(95)00070-4

  • Donegan H. A. Dodd F. J. & McMaster T. B. M. (1992). A New Approach to AHP Decision Making. Journal of the Royal Statistical Society 41 (3) 295-302 http://doi.org/10.2307/2348551

  • Easterwood J. C. Seth A. & Singer R. (1997). Limits on Managerial discretion in Management Buyouts: The Effectiveness of Institutional Market and Legal Mechanisms. Managerial and Decision Economics 18(7/8) 645-666.

  • Expert Choice. (2015). Expert Choice. Retrieved May 2 2015 from Expert Choice http://expertchoice.com/.

  • FitzPatrick P. J. (1934). Transitional stages of a business failure. The Accounting Review 9(4) 337-340.

  • Forman H. E. & Gass I. S. (2001). The Analytic Hierarchy Process – An Exposition. Operations Research 49(4) 469-486 http://doi.org/10.1287/opre.49.4.469.11231

  • Franks R. J. & Harris R. S. (1989). Shareholder Wealth Effects of Corporate Takeovers: The UK Experience 1995-1985. Journal of Financial Economics 23(2) 225-249 http://doi.org/10.1016/0304-405X(89)90057-3

  • Gavade R. K. (2014). Multi-Criteria Decision Making: An overview of different selection problems and methods. International Journal of Computer Science and Information Technologies 5(4) 5643-5646.

  • Gentry J. Newbold P. & Whitford D. T. (1985). Classifying bankrupt firms with funds flow components. Journal of Accounting Research 23(1) 146-160 http://doi.org/10.2307/2490911

  • Grunert J. Norden L. & Weber M. (2004). The Role of nonfinancial factors in internal credit ratings. Journal of Banking and Finance 29 509-531 http://doi.org/10.1016/j.jbankfin.2004.05.017

  • Gurau T. (2013). A Model of Bankruptcy Prediction: Calibration of Atman’s Z-score for Japan. Erasmus University Rotterdam. Retrieved October 31 2016 from Erasmus University Rotterdam https://thesis.eur.nl/pub/13759/Gurau-T.-340938.pdf.

  • Harris R. Siegel S. D. & Wright M. (2005). Assessing the Impact of Management Buyouts on Economic Efficiency: Plant-Level Evidence from the United Kingdom. The Review of Economics and Statistics 87(1) 148-153 http://doi.org/10.1162/0034653053327540

  • Herst A. C. C. & Hommelberg R. J. R. (2002). The Risks and Returns of Management Buy-outs. Evidence from the Netherlands. Open Universiteit. Retrieved May 2 2015 from Open Universiteit https://www.ou.nl/Docs/Faculteiten/MW/MW%20Working%20Papers/GR03-01.pdf.

  • Huo Y. H. (2006). Bankruptcy Situation Model in Small Business: The Case of Restaurant Firms. Hospitality Review 24(5) 49-58.

  • Jandaghi G. Tehrani R. Pirani P. & Mokhles A. (2011). Hybrid Financial Analysis Model for Predicting Bankruptcy. British Journal of Economics Finance and Management Sciences 2(1) 37-48.

  • Jelic R. & Wright M. (2011). Exits Performance and Late Stage Venture Capital: the Case of UK management Buy-outs. European Financial Management 17(3) 560-593 https://doi.org/10.1111/j.1468-036X.2010.00588.x

  • Jensen C. M. (1991). Corporate Control and the Politics of Finance. Journal of Applied Corporate Finance 4(2) 13-33.

  • Jones S. (2017). Corporate bankruptcy prediction: a high dimensional analysis. Review of Accounting Studies 22(3) 1366-1422 http://doi.org/10.1007/s11142-017-9407-1

  • Jones S. Johnestone D & Wilson R. (2017). Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks. Journal of Business Finance and Accounting 44(1 & 2) 3-34 http://doi.org/10.1111/jbfa.12218

  • Kamoto S. (2017). Managerial innovation incentives management buyouts and shareholders’ intolerance of failure. Journal of Corporate Finance 42(2017) 55-74 http://doi.org/10.1016/j.jcorpfin.2016.11.002

  • Kaplan N. S. & Strömberg P. (2009). Leveraged Buy-outs and Private Equity. The Journal of Economic Perspectives 23(1) 121-146 http://doi.org/10.1257/jep.23.1.121

  • Kwak W. (2012). Predicting Bankruptcy after the Sarbanes-Oxley Act Using the Most Current Data Mining Approaches. Journal of Business & Economics Research 10(4) 233-242 http://doi.org/10.19030/jber.v10i4.6899

  • Lahovnik M. (2013). Združitve in prevzemi podjetij [Mergers and Acquisitions]. Ljubljana: Ekonomska fakulteta.

  • Le H. H. & Viviani J. L. (2017). Predicting bank failure: An improvement by implementing machine learning approach on classical financial ratios. Retrieved February 7 2018 from Science Direct https://www.sciencedirect.com/science/article/pii/S0275531917301241?via%3Dihub

  • Liang W. (2003). The analytic hierarchy process in project evaluation. Benchmarking. An International Journal 10 (5) 445-456 http://doi.org/10.1108/14635770310495492.

  • Manea I. (2009). Value generation in private equity backed buyouts: The case of Netherland. Master Thesis. University of Amsterdam. Retrieved August 27 2015 from University of Amsterdam http://dare.uva.nl/cgi/arno/show.cgi?fid=157245.

  • Mencinger J. (2009). Morda problem ni v tajkunih ampak v sistemu [Perhaps the problem is not in the ty-coons but in the system]. Časnik Delo. Retrieved March 22 2015 from Časnik Delo http://www.delo.si/gospodarstvo/morda-problem-ni-v-tajkunih-ampak-vsistemu.html

  • Michel A. & Shaked I. (1990). The LBO Nightmare: Fraudulent Conveyance Risk. Financial Analysts Journal 46(2) 41-50 http://doi.org/10.2469/faj.v46.n2.41

  • Mondal L. (2008). A Dynamic Hybrid Credit Scoring Model: A Two-stage Prediction of Credit Quality. ProQuest. Retrieved October 31 2016 from ProQuest http://search.proquest.com.ezproxy.lib.ukm.si/pqdtglobal/docview/304606424/fulltextPDF/4E56E08EA994466APQ/1?accountid=28931

  • Nikoskelainen E. & Wright M. (2007). The impact on corporate governance mechanisms on value increase in leveraged buyouts. Journal of Corporate Finance 13 (4) 511-537 http://doi.org/10.1016/j.jcorpfin.2007.04.002

  • Nunthaphad P. (2001). An application of Altman’s and McGurr’s bankruptcy prediction models to small retail firms: a comparative analysis. PhD Dissertation. Davie: Nova Southeastern University.

  • Ohlson J. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 18(1) 109-131 http://doi.org/10.2307/2490395

  • Paredes T. A. (2003). The Firm and the Nature of Control: Toward a Theory of Takeover Law. Journal of Corporation Law29(1) 103-178 http://doi.org/10.2139/ssrn.507762

  • Park C. S. & Han I. (2002). A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction. Expert Systems with Applications 23(3) 255-264 http://doi.org/10.1016/S0957-4174(02)00045-3

  • Pervan I. & Kuvek. T. (2013). The relative importance of financial ratios and nonfinancial variables in predicting of insolvency. Croatian Operational Research Review 4 187-198.

  • Pušnik K. & Tajnikar M. (2008). Technical and Cost Efficiencies as Determinants of Business Failures of Small Firms: The Case of Slovenia. Eastern European Economics 46(1) 43-62.

  • Ross A. Randolph S. Westerfield W. & Jeffrey F. J. (1993). Corporate finance. Boston: Irwin.

  • Safieddine A. & Titman S. (1999). Leveraged and Corporate Performance: Evidence from Unsuccessful Takeovers. The Journal of Finance 54(2) 547-580 http://doi.org/10.1111/0022-1082.00117

  • Saaty L. T. (1987). The Analytic Hierarchy Process – What it is and how it is used. Mathematical Modelling 9 (3-5) 161-176 http://doi.org/10.1016/0270-0255(87)90473-8

  • Saaty L. T. (1994). Fundamentals of Decision Making and Priority Theory: with the Analytic Hierarchy Process. Pittsburgh: RWS Publications.

  • Saaty L. T. (1999). Decision making for leaders: the analytic hierarchy process for decisions in a complex world. Pittsburgh: RWS Publications.

  • Skok P. (1992). Management buy-out v naših razmerah [Management buy-out in our conditions]. Kapital 34 12-13.

  • Smith R. E. & Winakor A. (1930). A test analysis of unsuccessful industrial companies. University of Illinois: Bureau of Business Research.

  • Strinivasan V. & Kim Y. H. (1987). Credit Granting: A Comparative Analysis of Classification Procedures. The Journal of Finance 42(3) 665-683 http://doi.org/10.2307/2328378

  • Stuer R. E. & Na P. (2003). Multiple criteria decision making combined with finance: A categorized bibliographic study. European Journal of Operational Re- search 150 496-515 http://doi.org/10.1016/S0377-2217(02)00774-9

  • Sum R. M. (2015). Risk management decision making. International Symposium on the Analytic Hierarchy Process. Retrieved November 1 2016 from ISAHP http://www.isahp.org/uploads/47.pdf

  • Tamari M. (1970). The Nature of Trade Credit. Oxford Economic Papers 22(3) 406-419.

  • Tutuncu L. (2014). Empirical Essays on Performance of Management Buyouts. Retrieved May 7 2017 from The University of Birmingham http://etheses.bham.ac.uk/5974/1/Tutuncu15PhD.pdf

  • Weston J. F. Siu J. A. & Johnson B. A. (2001). Takeovers restructuring and Corporate Governance. New Jersey: New Prentice-Hall Inc.

  • Wright M. Thompson S. & Robbie K. (1992). Venture Capital and management-led Leveraged Buy-outs: European evidence. Journal of Business Venturing 7(1) 47-71 http://doi.org/10.1016/0883-9026(92)90034-O

  • Wright M. Wilson N. & Robbie K. (1996). The Longer-Term Effects of Management-Led Buy-Outs. Journal of Entrepreneurial & Small Business Finance 3(5) 212-234.

  • Wright M. Burrows A. Ball R. Scholes L. Meuleman M. & Amess K. (2007). The implications of alternative investment vehicles for corporate governance: A survey of empirical research. University of Nottingham: Centre for Management Buy-out Research.

  • Yadav R. A. (1986). Financial ratios and the prediction of corporate failure. New Delhi: Concept Publishing Company.

  • Zopounidis C. & Doumpos M. (2002). Multi-criteria decision aid in financial decision making: Methodologies and literature review. Journal of Multi-Criteria Decision Analysis 11(4-5) 167-186 http://doi.org/10.1002/mcda.333

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