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An integrative analysis of business bankruptcy in Australia

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  • Lillian Cheung
  • Amnon Levy

Abstract

This paper proposes an integrative and dynamic approach for analyzing business failure. The simultaneous estimation results obtained with Australian data indicate significant associations between bankruptcy rates in different industries. Most of these associations are positive and hence implying that bankruptcy in one industry can inflict a ‘domino’ effect on other industries. The estimated significant negative association between current and lagged bankruptcy rates in the industries under consideration lend support to the survival of the fittest hypothesis. The estimation results also highlight the important effects of industry, domestic and international economic conditions on bankruptcy rates. Copyright Springer 1998

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  • Lillian Cheung & Amnon Levy, 1998. "An integrative analysis of business bankruptcy in Australia," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(2), pages 149-167, June.
    • Handle: RePEc:spr:jecfin:v:22:y:1998:i:2:p:149-167
    DOI: 10.1007/BF02771485
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    1. David M. Cutler & Lawrence H. Summers, 1988. "The Costs of Conflict Resolution and Financial Distress: Evidence from the Texaco-Pennzoil Litigation," RAND Journal of Economics, The RAND Corporation, vol. 19(2), pages 157-172, Summer.
    2. Bandopadhyaya, Arindam, 1994. "An Estimation of the Hazard Rate of Firms under Chapter 11 Protection," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 346-350, May.
    3. Philippe Aghion & Oliver D. Hart & John Moore, 1994. "The Economics of Bankruptcy Reform," NBER Chapters, in: The Transition in Eastern Europe, Volume 2, Restructuring, pages 215-244, National Bureau of Economic Research, Inc.
    4. Levy, Amnon & Bar-niv, Ran, 1987. "Macroeconomic aspects of firm bankruptcy analysis," Journal of Macroeconomics, Elsevier, vol. 9(3), pages 407-415.
    5. Blum, M, 1974. "Failing Company Discriminant-Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 12(1), pages 1-25.
    6. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    7. Melicher, Ronald W. & Hearth, Douglas, 1988. "A time series analysis of aggregate business failure activity and credit conditions," Journal of Economics and Business, Elsevier, vol. 40(4), pages 319-333, November.
    8. Gilson, Stuart C., 1990. "Bankruptcy, boards, banks, and blockholders : Evidence on changes in corporate ownership and control when firms default," Journal of Financial Economics, Elsevier, vol. 27(2), pages 355-387, October.
    9. Trevor Chamberlain, 1990. "Capital Structure and the Long-Run Survival of the Firm: Theory and Evidence," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 12(3), pages 404-423, March.
    10. 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.
    11. 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.
    12. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    13. Gilson, Stuart C., 1989. "Management turnover and financial distress," Journal of Financial Economics, Elsevier, vol. 25(2), pages 241-262, December.
    14. Platt, Harlan D. & Platt, Marjorie B., 1994. "Business cycle effects on state corporate failure rates," Journal of Economics and Business, Elsevier, vol. 46(2), pages 113-127, May.
    15. Goudie, A W & Meeks, G, 1991. "The Exchange Rate and Company Failure in a Macro-Micro Model of the UK Company Sector," Economic Journal, Royal Economic Society, vol. 101(406), pages 444-457, May.
    16. Baldwin, Carliss Y & Mason, Scott P, 1983. "The Resolution of Claims in Financial Distress: The Case of Massey Ferguson," Journal of Finance, American Finance Association, vol. 38(2), pages 505-516, May.
    17. White, Michelle J, 1994. "Corporate Bankruptcy as a Filtering Device: Chapter 11 Reorganizations and Out-of-Court Debt Restructurings," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 10(2), pages 268-295, October.
    18. repec:cep:stitep:/1992/250 is not listed on IDEAS
    19. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    20. White, Michelle J, 1989. "The Corporate Bankruptcy Decision," Journal of Economic Perspectives, American Economic Association, vol. 3(2), pages 129-151, Spring.
    21. Sarah J. Lane & Martha Schary, 1991. "Understanding The Business Failure Rate," Contemporary Economic Policy, Western Economic Association International, vol. 9(4), pages 93-105, October.
    22. Post, Gerald V. & Moon, Soo-Young, 1988. "A pooled cross-section time-series approach to business failures in 18 U.S. cities," Journal of Economics and Business, Elsevier, vol. 40(1), pages 45-56, February.
    23. Opler, Tim C & Titman, Sheridan, 1994. "Financial Distress and Corporate Performance," Journal of Finance, American Finance Association, vol. 49(3), pages 1015-1040, July.
    24. Michelle J. White, 1980. "Public Policy Toward Bankruptcy: Me-First and Other Priority Rules," Bell Journal of Economics, The RAND Corporation, vol. 11(2), pages 550-564, Autumn.
    25. Denis, David J. & Denis, Diane K., 1995. "Causes of financial distress following leveraged recapitalizations," Journal of Financial Economics, Elsevier, vol. 37(2), pages 129-157, February.
    26. A. D. Castagna & Z. P. Matolcsy, 1981. "The Prediction of Corporate Failure: Testing the Australian Experience," Australian Journal of Management, Australian School of Business, vol. 6(1), pages 23-50, June.
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    JEL classification:

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

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