Corporate Financial Crisis Prediction Using Letter to Shareholders
碩士 === 國立高雄第一科技大學 === 會計資訊研究所 === 103 === Domestic large-scale enterprises currently raise money from the public and financial institutions for the application so that the corporate conditions of operation are tightly connected with social trends. Once such enterprises face the financial distress, n...
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ndltd-TW-103NKIT56710022017-03-11T04:22:08Z http://ndltd.ncl.edu.tw/handle/95259224614607435605 Corporate Financial Crisis Prediction Using Letter to Shareholders 應用致股東報告書預警企業財務危機之研究 Chia-Yen Wu 吳佳燕 碩士 國立高雄第一科技大學 會計資訊研究所 103 Domestic large-scale enterprises currently raise money from the public and financial institutions for the application so that the corporate conditions of operation are tightly connected with social trends. Once such enterprises face the financial distress, not only the enterprise itself, the internal authority, and the employees but also the investors, creditors, financial institutions, up-and-down-stream vendors, and consumers are affected to result in social instability. Effectively predicting the bad management of an enterprise to prevent it from financial crises has become a critical issue in the research on corporate financial management. This study aims to predict corporate financial crises with a letter to shareholders so as to effectively enhance the accuracy of corporate financial crisis detection and further reduce the capital damage resulted from financial crises to the enterprises and the investors. Aiming at such objectives, this study covers the research on (i)the design of corporate financial crisis prediction procedure using letter to shareholders, (ii)the development of corporate financial crisis prediction methods using letter to shareholders, and (iii)the verification and comparison of corporate financial crisis prediction methods using letter to shareholders. Yuh-Jen Chen 陳育仁 2015 學位論文 ; thesis 35 zh-TW |
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碩士 === 國立高雄第一科技大學 === 會計資訊研究所 === 103 === Domestic large-scale enterprises currently raise money from the public and financial institutions for the application so that the corporate conditions of operation are tightly connected with social trends. Once such enterprises face the financial distress, not only the enterprise itself, the internal authority, and the employees but also the investors, creditors, financial institutions, up-and-down-stream vendors, and consumers are affected to result in social instability. Effectively predicting the bad management of an enterprise to prevent it from financial crises has become a critical issue in the research on corporate financial management.
This study aims to predict corporate financial crises with a letter to shareholders so as to effectively enhance the accuracy of corporate financial crisis detection and further reduce the capital damage resulted from financial crises to the enterprises and the investors. Aiming at such objectives, this study covers the research on (i)the design of corporate financial crisis prediction procedure using letter to shareholders, (ii)the development of corporate financial crisis prediction methods using letter to shareholders, and (iii)the verification and comparison of corporate financial crisis prediction methods using letter to shareholders.
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author2 |
Yuh-Jen Chen |
author_facet |
Yuh-Jen Chen Chia-Yen Wu 吳佳燕 |
author |
Chia-Yen Wu 吳佳燕 |
spellingShingle |
Chia-Yen Wu 吳佳燕 Corporate Financial Crisis Prediction Using Letter to Shareholders |
author_sort |
Chia-Yen Wu |
title |
Corporate Financial Crisis Prediction Using Letter to Shareholders |
title_short |
Corporate Financial Crisis Prediction Using Letter to Shareholders |
title_full |
Corporate Financial Crisis Prediction Using Letter to Shareholders |
title_fullStr |
Corporate Financial Crisis Prediction Using Letter to Shareholders |
title_full_unstemmed |
Corporate Financial Crisis Prediction Using Letter to Shareholders |
title_sort |
corporate financial crisis prediction using letter to shareholders |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/95259224614607435605 |
work_keys_str_mv |
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