Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry
碩士 === 國立交通大學 === 經營管理研究所 === 100 === With the global financial crisis, banking industry has suffered the most damage and had great impact to the world economic. Some banks went bankruptcy in the global financial crisis; while some banks still grow or remain stable, we could infer that banking indus...
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ndltd-TW-100NCTU54570902016-03-28T04:20:37Z http://ndltd.ncl.edu.tw/handle/37198432261270028814 Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry 銀行為何倒閉?從競爭優勢及銀行預警系統建置企業競爭優勢-在全球金融危機前後下的金融產業為例 Hsieh, Meng che 謝孟哲 碩士 國立交通大學 經營管理研究所 100 With the global financial crisis, banking industry has suffered the most damage and had great impact to the world economic. Some banks went bankruptcy in the global financial crisis; while some banks still grow or remain stable, we could infer that banking industry configuration really matters and the research mainly to disclosure underlying reasons. The research is based on two theory sustainable competitive advantage and CAMEL –related indicators (early warning system) in banking industry. The author adopt Bayesian and failure credit model to infer and predict failure/non-failure and competitive advantage/disadvantage groups, furthermore, trying to find a function or framework to interpret the underlying reasons of results. Most prior banking prediction researches are focus on identifying effective indicators and models that can be applied to develop an early warning system for individual bank failure. However, during global financial crisis, there is still a large amount of bankrupted banks, we can easily see that detecting risk is not enough to facing the even more complicated and dynamic competitive surroundings. In strategy point of view, there are some research integrate the financial indicators and strategy theory to interpret sustainable competitive advantage in the industry. In conclusion, the research mainly find banking industry configurations and successfully to predict the fail and competitive advantage dimension after global financial crisis of banks in U.S. As a matter of fact, also try to advance early warning system and Powell axis based on Bayesian analysis to take global financial crisis as a reference point to see underlying reasons whether banks to grow or fail. From a long term perspective, to strengthen the managers should take a risk seriously– instead of just complying with rules is might be underlying reasons what drives a business to sustainable growth in dynamic business banking industry. Tang, Ying-chan Edwin Liou, F.May 唐瓔璋 劉芬美 2012 學位論文 ; thesis 41 en_US |
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碩士 === 國立交通大學 === 經營管理研究所 === 100 === With the global financial crisis, banking industry has suffered the most damage and had great impact to the world economic. Some banks went bankruptcy in the global financial crisis; while some banks still grow or remain stable, we could infer that banking industry configuration really matters and the research mainly to disclosure underlying reasons.
The research is based on two theory sustainable competitive advantage and CAMEL –related indicators (early warning system) in banking industry. The author adopt Bayesian and failure credit model to infer and predict failure/non-failure and competitive advantage/disadvantage groups, furthermore, trying to find a function or framework to interpret the underlying reasons of results.
Most prior banking prediction researches are focus on identifying effective indicators and models that can be applied to develop an early warning system for individual bank failure. However, during global financial crisis, there is still a large amount of bankrupted banks, we can easily see that detecting risk is not enough to facing the even more complicated and dynamic competitive surroundings. In strategy point of view, there are some research integrate the financial indicators and strategy theory to interpret sustainable competitive advantage in the industry.
In conclusion, the research mainly find banking industry configurations and successfully to predict the fail and competitive advantage dimension after global financial crisis of banks in U.S. As a matter of fact, also try to advance early warning system and Powell axis based on Bayesian analysis to take global financial crisis as a reference point to see underlying reasons whether banks to grow or fail.
From a long term perspective, to strengthen the managers should take a risk seriously– instead of just complying with rules is might be underlying reasons what drives a business to sustainable growth in dynamic business banking industry.
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author2 |
Tang, Ying-chan Edwin |
author_facet |
Tang, Ying-chan Edwin Hsieh, Meng che 謝孟哲 |
author |
Hsieh, Meng che 謝孟哲 |
spellingShingle |
Hsieh, Meng che 謝孟哲 Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
author_sort |
Hsieh, Meng che |
title |
Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
title_short |
Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
title_full |
Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
title_fullStr |
Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
title_full_unstemmed |
Why banks fail? Configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
title_sort |
why banks fail? configuring competitive advantage and early warning system for sustainable growth under global financial crisis of banking industry |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/37198432261270028814 |
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