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Analyzing Subgroups of Bailed Out Fi...

Netzler, Mary E.

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Analyzing Subgroups of Bailed Out Financial Institutions: A Turnaround Theory Perspective.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analyzing Subgroups of Bailed Out Financial Institutions: A Turnaround Theory Perspective./
作者:	Netzler, Mary E.
面頁冊數:	185 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.
Contained By:	Dissertation Abstracts International76-10A(E).
標題:	Banking. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3705430
ISBN:	9781321784299

Analyzing Subgroups of Bailed Out Financial Institutions: A Turnaround Theory Perspective.
Netzler, Mary E.

Analyzing Subgroups of Bailed Out Financial Institutions: A Turnaround Theory Perspective. - 185 p.

Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.

Thesis (Ph.D.)--Northcentral University, 2015.

The most recent accounting for the Troubled Asset Relief Program (TARP) provided evidence of the mixed results of the program. The actual losses expended through the program totaled nearly $5 billion dollars which is a significant cost for rescuing troubled banks. A major portion of the costs of the program come from banks that ultimately failed. To avert failure bailed out banks must turnaround from decline to become profitable again. By applying turnaround theory precepts using classic turnaround theory variables combined with bank failure prediction constructs as well as resource-based variables, the study developed models to determine which troubled banks will repay bailout monies. The problem addressed was a lack of viable means of determining the recovery capability of bailed out banks.

ISBN: 9781321784299Subjects--Topical Terms:

1557594
Banking.

Analyzing Subgroups of Bailed Out Financial Institutions: A Turnaround Theory Perspective.
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520 $a The most recent accounting for the Troubled Asset Relief Program (TARP) provided evidence of the mixed results of the program. The actual losses expended through the program totaled nearly $5 billion dollars which is a significant cost for rescuing troubled banks. A major portion of the costs of the program come from banks that ultimately failed. To avert failure bailed out banks must turnaround from decline to become profitable again. By applying turnaround theory precepts using classic turnaround theory variables combined with bank failure prediction constructs as well as resource-based variables, the study developed models to determine which troubled banks will repay bailout monies. The problem addressed was a lack of viable means of determining the recovery capability of bailed out banks.
520 $a Theoretically, the research expanded turnaround theory into the financial-services realm while extending aspects of default prediction models along a time-series venue as well as incorporating resource-based management concepts. The purpose of the quantitative, ex post facto, comparative study was the development of a means of determining which financial institutions will recover from their decline sufficient to voluntarily repay bailout monies. The purpose was accomplished by applying layers of analysis to the financial ratios and resource-based variables of subgroups of bailed out financial institutions. The study included the development of models of statistically significant financial ratios (at the 99% confidence level) combined with resource-based management variables into construct models delivering a maximum of 69% classification accuracy. Associated with the ability to recover from decline are concepts such as bank capacity as well as managerial skill used to accomplish turnaround. This mandated the additional goal to discern management techniques used to accomplish repayment. A review of financial ratio and resource-based management variables revealed leading movements by the managers of the repaying banks. Their actions focused on asset changes designed to maximize income. A more detailed examination of managerial actions is indicated as is the need for continued examination of time series results. The models could be expanded to separate the components based on common financial statement characteristics. Banks bailed out by the federal government formed the population for the study.
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