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A Comprehensive Study of Bank Branch...
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LaPlante, Alex E.
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A Comprehensive Study of Bank Branch Growth Potential and Growth Trends through the Development of a Unique DEA Formulation and a New Restricted DEA Model.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Comprehensive Study of Bank Branch Growth Potential and Growth Trends through the Development of a Unique DEA Formulation and a New Restricted DEA Model./
作者:
LaPlante, Alex E.
面頁冊數:
164 p.
附註:
Source: Dissertation Abstracts International, Volume: 77-06(E), Section: A.
Contained By:
Dissertation Abstracts International77-06A(E).
標題:
Banking. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3743320
ISBN:
9781339359908
A Comprehensive Study of Bank Branch Growth Potential and Growth Trends through the Development of a Unique DEA Formulation and a New Restricted DEA Model.
LaPlante, Alex E.
A Comprehensive Study of Bank Branch Growth Potential and Growth Trends through the Development of a Unique DEA Formulation and a New Restricted DEA Model.
- 164 p.
Source: Dissertation Abstracts International, Volume: 77-06(E), Section: A.
Thesis (Ph.D.)--University of Toronto (Canada), 2015.
In light of the recent global economic downturn, it has become very apparent how important it is for Canadian citizens to have access to a stable and competitive banking system and how essential sound banking practices are in maintaining a country's economic health. Given the current market volatility and the continuous entry of new competitors, it has become increasingly difficult for banks to maintain the product and client growth required to remain competitive and fiscally viable. In order to cut operating costs, improve their operational efficiency, and identify underperforming areas banks have turned to performance analysis techniques. Due to the multifaceted nature of the banking industry, many of these performance analyses tend to produce conflicting results or lack the robustness required to fully realize the relationships that exist. Moreover, these analysis techniques are generally applied to contemporaneous data and neglect to consider branch growth and growth trends over an extended time period. Consequently, this study aims to exploit the relationships that exist within a bank branch to provide a comprehensive picture of bank branch growth potential using a non-contemporaneous panel data set. This was accomplished by integrating Operations Research (OR) and engineering methodologies with Data Envelopment Analysis, a leading frontier efficiency approach used for studies such as this one.
ISBN: 9781339359908Subjects--Topical Terms:
1557594
Banking.
A Comprehensive Study of Bank Branch Growth Potential and Growth Trends through the Development of a Unique DEA Formulation and a New Restricted DEA Model.
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Source: Dissertation Abstracts International, Volume: 77-06(E), Section: A.
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In light of the recent global economic downturn, it has become very apparent how important it is for Canadian citizens to have access to a stable and competitive banking system and how essential sound banking practices are in maintaining a country's economic health. Given the current market volatility and the continuous entry of new competitors, it has become increasingly difficult for banks to maintain the product and client growth required to remain competitive and fiscally viable. In order to cut operating costs, improve their operational efficiency, and identify underperforming areas banks have turned to performance analysis techniques. Due to the multifaceted nature of the banking industry, many of these performance analyses tend to produce conflicting results or lack the robustness required to fully realize the relationships that exist. Moreover, these analysis techniques are generally applied to contemporaneous data and neglect to consider branch growth and growth trends over an extended time period. Consequently, this study aims to exploit the relationships that exist within a bank branch to provide a comprehensive picture of bank branch growth potential using a non-contemporaneous panel data set. This was accomplished by integrating Operations Research (OR) and engineering methodologies with Data Envelopment Analysis, a leading frontier efficiency approach used for studies such as this one.
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DEA has been widely used in branch performance work to evaluate intermediation, profitability and production efficiency. However, traditional modeling approaches fail to assess growth potential and customer retention; two very significant components of a bank's economic health and market stability. To address this issue, this research integrates Operations Research (OR) techniques with DEA methodologies to develop a new formulation for more accurately modeling branch growth from one time period to another. This model was found to be successful in evaluating a branch's growth potential and with the integration of Malmquist Index techniques, and was able to identify growth trends over an extended period of time. In addition, this study introduces a new restricted DEA model that restricts the Most Productive Possibilities Set (MPPS) to a convex subset of non-negative growth units through the restriction of the nonnegative intensity variable found in the dual form of DEA. To verify both models and test the validity of the results, several data sets were used, including one provided by one of the Big Five Canadian Banks and one from a large Turkish bank.
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