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Financial characteristics of banks involved in acquisitions: evidence from Asia

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  • Fotios Pasiouras
  • Chrysovalantis Gaganis

Abstract

This study examines the financial characteristics of 52 targets and 47 acquirers that were involved in acquisitions in the Asian commercial banking sector over the period 1998 to 2004 and a control sample of non-merged banks matched by country and year. Three logistic regression models are estimated to determine the factors that influence the probability of being involved in an acquisition either as a target or as an acquirer. The results indicate that more asset risky portfolios increase this probability. Higher liquidity also increases the probability of being acquired. The probability of being involved in an acquisition as acquirer also increases with size and cost efficiency. Finally, more profitable banks are more likely to be involved in acquisitions as acquirers rather than as targets. When we partition our sample in two sub-periods we find that only the higher loan loss provisions of targets and the higher size of acquirers remain robust over time.

Suggested Citation

  • Fotios Pasiouras & Chrysovalantis Gaganis, 2007. "Financial characteristics of banks involved in acquisitions: evidence from Asia," Applied Financial Economics, Taylor & Francis Journals, vol. 17(4), pages 329-341.
    • Handle: RePEc:taf:apfiec:v:17:y:2007:i:4:p:329-341
    DOI: 10.1080/09603100600675524
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    1. Fotios Pasiouras & Chrysovalantis Gaganis & Constantin Zopounidis, 2008. "Regulations, Supervision Approaches and Acquisition Likelihood in the Asian Banking Industry," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 15(2), pages 135-154, June.
    2. Goodness C. Aye & Giray Gozgor & Rangan Gupta, 2020. "Dynamic and Asymmetric Response of Inequality to Income Volatility: The Case of the United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 747-762, February.
    3. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    4. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    5. Hyunseok Park & Janghyeok Yoon & Kwangsoo Kim, 2013. "Identification and evaluation of corporations for merger and acquisition strategies using patent information and text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 883-909, December.
    6. 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.
    7. Lebastard, Laura, 2022. "Organisational structure as a driver of mergers and acquisitions in the European banking sector," Working Paper Series 2674, European Central Bank.
    8. Hai-Liu Shi & Ying-Ming Wang & Sheng-Qun Chen & Yi-Xin Lan, 2017. "An approach to two-sided M&A fits based on a cross-efficiency evaluation with contrasting attitudes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 41-52, January.
    9. 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.
    10. Peter Wanke & Carlos P. Barros & Md. Abul Kalam Azad & Dercio Constantino, 2016. "The Development of the Mozambican Banking Sector and Strategic Fit of Mergers and Acquisitions: A Two†Stage DEA Approach," African Development Review, African Development Bank, vol. 28(4), pages 444-461, December.
    11. 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.
    12. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    13. Kyung Yoon Kwon & Philip Molyneux & Livia Pancotto & Alessio Reghezza, 2024. "Banks and FinTech Acquisitions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 65(1), pages 41-75, February.

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