
Most bank merger studies do not control for hidden bailouts, which may lead to biased results. In this study we employ a unique data set of approximately 1000 mergers to analyze the determinants of bank mergers. We use undisclosed information on banks' regulatory intervention history to distinguish between distressed and non-distressed mergers. Among merging banks, we find that improving financial profiles lower the likelihood of distressed mergers more than the likelihood of nondistressed mergers. The likelihood to acquire a bank is also reduced but less than the probability to be acquired. Both distressed and non-distressed mergers have worse CAMEL profiles than non-merging banks. Hence, non-distressed mergers may be motivated by the desire to forestall serious future financial distress and prevent regulatory intervention. (C) 2007 Elsevier B.V. All rights reserved.
EFFICIENCY, DETERMINANTS, INDUSTRY, Mergers,bailout,X-efficiency,multinomial logit, Mergers, Bank, G34, Fusion, Deutschland, Bankinsolvenz, CONSOLIDATION, Unternehmenssanierung, multinomial logit, ACQUISITIONS, ddc:330, G14, X-efficiency, TAKEOVERS, x-efficiency, MARKET, bailout, G21, mergers, FINANCIAL SERVICES, Übernahme, Schätzung, jel: jel:G21, jel: jel:G34, jel: jel:G14
EFFICIENCY, DETERMINANTS, INDUSTRY, Mergers,bailout,X-efficiency,multinomial logit, Mergers, Bank, G34, Fusion, Deutschland, Bankinsolvenz, CONSOLIDATION, Unternehmenssanierung, multinomial logit, ACQUISITIONS, ddc:330, G14, X-efficiency, TAKEOVERS, x-efficiency, MARKET, bailout, G21, mergers, FINANCIAL SERVICES, Übernahme, Schätzung, jel: jel:G21, jel: jel:G34, jel: jel:G14
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 68 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
