台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響

碩士 === 東吳大學 === 國際貿易學系 === 94 === In recent studies, failure prediction models were constructed on the basis of financial numbers, but windows dressing effects on financial statement always cause bias on failure prediction model. In this study I used the Jones Model and the Modified Jones Models to...

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Main Authors: Ya-wen Chiou, 邱雅雯
Other Authors: none
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/81552972486282882144
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spelling ndltd-TW-094SCU053230292015-10-13T16:35:37Z http://ndltd.ncl.edu.tw/handle/81552972486282882144 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響 Ya-wen Chiou 邱雅雯 碩士 東吳大學 國際貿易學系 94 In recent studies, failure prediction models were constructed on the basis of financial numbers, but windows dressing effects on financial statement always cause bias on failure prediction model. In this study I used the Jones Model and the Modified Jones Models to estimate discretionary accruals of each sample and then calculated the standard error of discretionary accruals for each sample to evaluate the degree of earnings manipulation. All data were from TEJ data base center. In this study we found that failure firms indeed have larger total accruals and discretionary accruals than non failure firms. The failure prediction models of adding earnings management variable are not significantly better than pure financial ratio model. I suggested the earnings management variable should be used as other measurement variable other than be added in failure prediction model directly. none 張大成 2006 學位論文 ; thesis 54 zh-TW
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language zh-TW
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description 碩士 === 東吳大學 === 國際貿易學系 === 94 === In recent studies, failure prediction models were constructed on the basis of financial numbers, but windows dressing effects on financial statement always cause bias on failure prediction model. In this study I used the Jones Model and the Modified Jones Models to estimate discretionary accruals of each sample and then calculated the standard error of discretionary accruals for each sample to evaluate the degree of earnings manipulation. All data were from TEJ data base center. In this study we found that failure firms indeed have larger total accruals and discretionary accruals than non failure firms. The failure prediction models of adding earnings management variable are not significantly better than pure financial ratio model. I suggested the earnings management variable should be used as other measurement variable other than be added in failure prediction model directly.
author2 none
author_facet none
Ya-wen Chiou
邱雅雯
author Ya-wen Chiou
邱雅雯
spellingShingle Ya-wen Chiou
邱雅雯
台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
author_sort Ya-wen Chiou
title 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
title_short 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
title_full 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
title_fullStr 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
title_full_unstemmed 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
title_sort 台灣公開發行公司違約預警模型之建立—加入盈餘管理變數後之影響
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/81552972486282882144
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