Překlad názvu: Empirical Analysis on Multiple Mergers of US Banks
Autoři: Le Thi Hong, Minh ; Novák, Jiří (vedoucí práce) ; Serdarevič, Goran (oponent)
Typ dokumentu: Diplomové práce
Rok: 2012
Jazyk: eng
Abstrakt: We use logistic analysis to predict the probability of making non-programmed merger in a data sample of 45 US banks. Non-programmed merger is the merger that happens next to the subject merger but has at least three years apart from the subject merger. We apply logistic regression of the occurrence of the non-programmed merger on main characteristics of the subject merger. We first examine the effects of each of three explanatory variables, which are firstly abnormal return around the approved date, secondly hubris management hidden in the subject merger, and thirdly the value of asset acquired, on the dependent variable. We then try to find the best prediction model by controlling some variables both confounding and rescaling. Our final prediction model shows that the probability of making a next merger at least three year after the subject merger will significantly decrease if there is abnormal return realized in the subject merger. On the other hand, using event study methodology to search for the abnormal return of the acquirer's stock price around the approved date, we prove that the information of FDIC s' merger decision is not totally confidential to public and has significant impact on the stock price of the acquirer
Klíčová slova: Bank Mergers; M&A; Mergers and Acquisitions; multiple bank mergers

Instituce: Fakulty UK (VŠKP) (web)
Informace o dostupnosti dokumentu: Dostupné v digitálním repozitáři UK.
Původní záznam: http://hdl.handle.net/20.500.11956/40116

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-304422


Záznam je zařazen do těchto sbírek:
Školství > Veřejné vysoké školy > Univerzita Karlova > Fakulty UK (VŠKP)
Vysokoškolské kvalifikační práce > Diplomové práce