Early Warning Systems of Banks in United States: After the Subprime Crisis.
碩士 === 大葉大學 === 國際企業管理學系碩士班 === 99 === Financial stability is an important prerequisite for economic growth and stability. The subprime crisis that began in August 2007 has been called the worst financial crisis since the Great Depression by George Soros, Joseph Stieglitz, the IMF (International Mon...
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ndltd-TW-099DYU003210262015-10-13T20:04:05Z http://ndltd.ncl.edu.tw/handle/11184050028921507349 Early Warning Systems of Banks in United States: After the Subprime Crisis. 考慮金融海嘯因素之美國銀行危機預警模型 Hsun-Kang, Wu 吳巽剛 碩士 大葉大學 國際企業管理學系碩士班 99 Financial stability is an important prerequisite for economic growth and stability. The subprime crisis that began in August 2007 has been called the worst financial crisis since the Great Depression by George Soros, Joseph Stieglitz, the IMF (International Monetary Fund), and other commentators. We try to analyze how serious does subprime crisis affect the risk of banking system, is the risk rise or fall? First we would like to build models of risk prediction for banking system. To examine how the risk of banking system reacts to market changes, we would employ several market variables to fulfill our models. We use multivariate discriminant analysis, one of the earliest implications be applied to predict bank failures and most continued researches are based on this implication. Logistic regression analysis and probabilistic analysis are also employed in this study. Mei-Ling, Chen 陳美玲 2011 學位論文 ; thesis 33 en_US |
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碩士 === 大葉大學 === 國際企業管理學系碩士班 === 99 === Financial stability is an important prerequisite for economic growth and stability. The subprime crisis that began in August 2007 has been called the worst financial crisis since the Great Depression by George Soros, Joseph Stieglitz, the IMF (International Monetary Fund), and other commentators. We try to analyze how serious does subprime crisis affect the risk of banking system, is the risk rise or fall? First we would like to build models of risk prediction for banking system. To examine how the risk of banking system reacts to market changes, we would employ several market variables to fulfill our models. We use multivariate discriminant analysis, one of the earliest implications be applied to predict bank failures and most continued researches are based on this implication. Logistic regression analysis and probabilistic analysis are also employed in this study.
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author2 |
Mei-Ling, Chen |
author_facet |
Mei-Ling, Chen Hsun-Kang, Wu 吳巽剛 |
author |
Hsun-Kang, Wu 吳巽剛 |
spellingShingle |
Hsun-Kang, Wu 吳巽剛 Early Warning Systems of Banks in United States: After the Subprime Crisis. |
author_sort |
Hsun-Kang, Wu |
title |
Early Warning Systems of Banks in United States: After the Subprime Crisis. |
title_short |
Early Warning Systems of Banks in United States: After the Subprime Crisis. |
title_full |
Early Warning Systems of Banks in United States: After the Subprime Crisis. |
title_fullStr |
Early Warning Systems of Banks in United States: After the Subprime Crisis. |
title_full_unstemmed |
Early Warning Systems of Banks in United States: After the Subprime Crisis. |
title_sort |
early warning systems of banks in united states: after the subprime crisis. |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/11184050028921507349 |
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