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Industry Distributional Characteristics of Financial Ratios: An Acquisition Theory Application

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  • Cudd, Mike
  • Duggal, Rakesh

Abstract

This study explores the importance of capturing industry-specific distributional characteristics in analyses based on financial ratios. As a test case, the study replicates Palepu (1986), who employs financial ratios in logit models to investigate the usefulness of six acquisition hypotheses in predicting takeover targets. Without adjustment for industry-specific distributional characteristics, this study's findings are only consistent with one of the six acquisition hypotheses. After adjusting for distributional properties, the results are consistent with four of the six acquisition hypotheses. Furthermore, the adjusted model produces a classification accuracy significantly greater than chance, as well as significantly greater than that observed for the unadjusted model. Copyright 2000 by MIT Press.

Suggested Citation

  • Cudd, Mike & Duggal, Rakesh, 2000. "Industry Distributional Characteristics of Financial Ratios: An Acquisition Theory Application," The Financial Review, Eastern Finance Association, vol. 35(1), pages 105-120, February.
  • Handle: RePEc:bla:finrev:v:35:y:2000:i:1:p:105-20
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    Cited by:

    1. Clas Bergström & Theodore Eisenberg & Stefan Sundgren & Martin T. Wells, 2005. "The Fate of Firms: Explaining Mergers and Bankruptcies," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 2(1), pages 49-85, March.
    2. Athanasios Tsagkanos & Evangelos Koumanakos & Antonios Georgopoulos & Costas Siriopoulos, 2012. "Prediction of Greek takeover targets via bootstrapping on mixed logit model," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 11(3), pages 315-334, August.
    3. Jo-Hui Chen & Chih-Sean Chen, 2011. "The effects of international off-site surveillance on bank rating changes," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1313-1329, October.
    4. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2010. "Multicriteria classification models for the identification of targets and acquirers in the Asian banking sector," European Journal of Operational Research, Elsevier, vol. 204(2), pages 328-335, July.
    5. Jani Saastamoinen & Hanna Savolainen, 2021. "Does a leopard change its spots? Auditors and lawyers as valuation experts for minority shareholders in the judicial appraisal of private firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(3-4), pages 613-636, March.
    6. Georges Dionne & Mélissa La Haye & Anne-Sophie Bergerès, 2015. "Does asymmetric information affect the premium in mergers and acquisitions?," Canadian Journal of Economics, Canadian Economics Association, vol. 48(3), pages 819-852, August.
    7. Ioannis Anagnostopoulos & Anas Rizeq, 2021. "Conventional and neural network target‐matching methods dynamics: The information technology mergers and acquisitions market in the USA," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(2), pages 97-118, April.
    8. Pasiouras, Fotios & Tanna, Sailesh, 2010. "The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence," Research in International Business and Finance, Elsevier, vol. 24(1), pages 39-61, January.
    9. N. Dewaelheyns & C. Van Hulle, 2004. "The Impact of Business Groups on Bankruptcy Prediction Modeling," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(4), pages 623-645.
    10. Marc Berninger & Markus Klug & Dirk Schiereck, 2018. "Börsenrückzüge infolge steigender Corporate-Governance-Anforderungen – Empirische Evidenz von 13 europäischen Kapitalmärkten [Delistings due to Increased Corporate Governance Requirements – Empiric," Schmalenbach Journal of Business Research, Springer, vol. 70(4), pages 351-391, December.
    11. Gurvinder Brar & Daniel Giamouridis & Manolis Liodakis, 2009. "Predicting European Takeover Targets," European Financial Management, European Financial Management Association, vol. 15(2), pages 430-450, March.
    12. Srinivasan Ragothaman & Bijayananda Naik & Kumoli Ramakrishnan, 2003. "Predicting Corporate Acquisitions: An Application of Uncertain Reasoning Using Rule Induction," Information Systems Frontiers, Springer, vol. 5(4), pages 401-412, December.
    13. Trimbath, S. & Frydman, H. & Frydman, R., 2000. "Corporate Inefficiency and the Risk of Takeover," Working Papers 00-14, C.V. Starr Center for Applied Economics, New York University.
    14. Tugce Karatas & Ali Hirsa, 2021. "Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques," Papers 2110.09315, arXiv.org.
    15. Nico Dewaelheyns & Cynthia Van Hulle, 2006. "Corporate Failure Prediction Modeling: Distorted by Business Groups' Internal Capital Markets?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5‐6), pages 909-931, June.
    16. Abe De Jong & Philip T. Fliers, 2020. "Predicting Takeover Targets: Long-Run Evidence from the Netherlands," De Economist, Springer, vol. 168(3), pages 343-368, September.
    17. Athanasios Tsagkanos & Antonios Georgopoulos & Costas Siriopoulos & Evangelos Koumanakos, 2008. "Identification of Greek Takeover Targets and Coherent Policy Implications," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 180-192, February.
    18. Pei Ling Lee & Roy Wye Leong Khong & Suganthi Ramasamy, 2010. "Characteristics of Firms Going Private in the Malaysian Stock Exchange," Economics Bulletin, AccessEcon, vol. 30(2), pages 1307-1319.
    19. Steen Thomsen & Frederik Vinten, 2014. "Delistings and the costs of governance: a study of European stock exchanges 1996–2004," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 18(3), pages 793-833, August.
    20. Pasiouras, Fotios & Tanna, Sailesh & Zopounidis, Constantin, 2007. "The identification of acquisition targets in the EU banking industry: An application of multicriteria approaches," International Review of Financial Analysis, Elsevier, vol. 16(3), pages 262-281.
    21. Nenova, Tatiana, 2003. "The value of corporate voting rights and control: A cross-country analysis," Journal of Financial Economics, Elsevier, vol. 68(3), pages 325-351, June.
    22. Tomas Jandik & Anil K. Makhija, 2005. "Leverage and the Complexity of Takeovers," The Financial Review, Eastern Finance Association, vol. 40(1), pages 95-112, February.
    23. Mehrez Ben Slama & Dhafer Saidane & Hassouna Fedhila, 2012. "How to identify targets in the M&A banking operations? Case of cross-border strategies in Europe by line of activity," Review of Quantitative Finance and Accounting, Springer, vol. 38(2), pages 209-240, February.
    24. Lee, Kangbok & Joo, Sunghoon & Baik, Hyeoncheol & Han, Sumin & In, Joonhwan, 2020. "Unbalanced data, type II error, and nonlinearity in predicting M&A failure," Journal of Business Research, Elsevier, vol. 109(C), pages 271-287.

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