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Conventional and neural network target‐matching methods dynamics: The information technology mergers and acquisitions market in the USA

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  • Ioannis Anagnostopoulos
  • Anas Rizeq

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  • 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.
  • Handle: RePEc:wly:isacfm:v:28:y:2021:i:2:p:97-118
    DOI: 10.1002/isaf.1492
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    1. Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
    2. Lee, Mingook & Lee, Sungjoo, 2017. "Identifying new business opportunities from competitor intelligence: An integrated use of patent and trademark databases," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 170-183.
    3. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    4. Rui Albuquerque & Martin Eichenbaum & Victor Xi Luo & Sergio Rebelo, 2016. "Valuation Risk and Asset Pricing," Journal of Finance, American Finance Association, vol. 71(6), pages 2861-2904, December.
    5. Dietrich, J. Kimball & Sorensen, Eric, 1984. "An application of logit analysis to prediction of merger targets," Journal of Business Research, Elsevier, vol. 12(3), pages 393-402, September.
    6. B. Espen Eckbo, 2014. "Corporate Takeovers and Economic Efficiency," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 51-74, December.
    7. Core, John E. & Guay, Wayne R. & Buskirk, Andrew Van, 2003. "Market valuations in the New Economy: an investigation of what has changed," Journal of Accounting and Economics, Elsevier, vol. 34(1-3), pages 43-67, January.
    8. Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
    9. Ronan G. Powell, 1997. "Modelling Takeover Likelihood," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(7‐8), pages 1009-1030, September.
    10. Lee, Misuk & Cho, Youngsang, 2015. "Consumer perception of a new convergence product: A theoretical and empirical approach," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 312-321.
    11. Lev, B & Zarowin, P, 1999. "The boundaries of financial reporting and how to extend them," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 353-385.
    12. Ronan Powell & Alfred Yawson, 2007. "Are Corporate Restructuring Events Driven by Common Factors? Implications for Takeover Prediction," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(7‐8), pages 1169-1192, September.
    13. Ulrich Hege, 2010. "Acquisition Values and Optimal Financial (In)Flexibility," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2865-2899, July.
    14. Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
    15. Eckbo, B. Espen (ed.), 2008. "Handbook of Empirical Corporate Finance SET," Elsevier Monographs, Elsevier, edition 1, number 9780444532657.
    16. 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.
    17. John M. Griffin & Jeffrey H. Harris & Tao Shu & Selim Topaloglu, 2011. "Who Drove and Burst the Tech Bubble?," Journal of Finance, American Finance Association, vol. 66(4), pages 1251-1290, August.
    18. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    19. Carbone, Valentina & Stone, Marilyn A., 2005. "Growth and relational strategies used by the European logistics service providers: Rationale and outcomes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(6), pages 495-510, November.
    20. Branch, Ben & Wang, Jia & Yang, Taewon, 2008. "A note on takeover success prediction," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1186-1193, December.
    21. Delen, Dursun & Cogdell, Douglas & Kasap, Nihat, 2012. "A comparative analysis of data mining methods in predicting NCAA bowl outcomes," International Journal of Forecasting, Elsevier, vol. 28(2), pages 543-552.
    22. Hou, Rui & Yang, Jianmei & Yao, Canzhong & McKelvey, Bill, 2015. "How does competition structure affect industry merger waves? A network analysis perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 140-156.
    23. Louis K. C. Chan & Josef Lakonishok & Theodore Sougiannis, 2001. "The Stock Market Valuation of Research and Development Expenditures," Journal of Finance, American Finance Association, vol. 56(6), pages 2431-2456, December.
    24. Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
    25. 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.
    26. Palepu, Krishna G., 1986. "Predicting takeover targets : A methodological and empirical analysis," Journal of Accounting and Economics, Elsevier, vol. 8(1), pages 3-35, March.
    27. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
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