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dc.contributor.author劉榮宗en_US
dc.contributor.author李正福en_US
dc.date.accessioned2014-12-12T01:26:45Z-
dc.date.available2014-12-12T01:26:45Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079572514en_US
dc.identifier.urihttp://hdl.handle.net/11536/41592-
dc.description.abstract本論文之主要目的在研究財務比率與總體經濟因素對財務危機預警之影響。根據公司的財務比率資料以及總體經濟相關指標,以Logit模型來研究公司的財務狀況和預測未來的破產機率。本文用1992到2007年的歷史資料來估計建立模型參數,並將建立之預測模型,針對2008-2009年期間樣本公司分析違約機率來驗證所建立財務預測模型之準確性。本論文採用加入與未加入總體經濟因素的兩種模型,來判斷經濟指標對財務危機預警模型之影響,實證結果顯示出總體經濟因素對於預測模型的重要性。此研究指出對於破產預測、投資組合管理和公司的內部與外在表現分析的應用可能性,並可提供給投資者做參考避免重大損失發生。zh_TW
dc.description.abstractThe purpose of this paper is to investigate the impact of financial ratios and macroeconomic variables on financial distress. According to the information with respect to the financial ratios and macroeconomic related indicators, Logit model can research on the firms’ financial situation and predict the bankruptcy probability in the future. The parameters are estimated by the historical data from 1992 to 2007, and then the model can be constructed and verified by the evaluation the default probability of the firms during 2008-2009 and the detection whether firms fail or not. This paper adopts two models with and without macroeconomical factors to detect the influence of macroeconomic indicators on financial distress prediction model. The empirical results show the importance of macroeconomic factors within the failure prediction model. This study indicates the potential important application on the failure prediction, management portfolio and the internal and external performance analysis of the companies. Moreover, this paper provides the suggestion to investors and avoids the enormous loss occurring.en_US
dc.language.isoen_USen_US
dc.subject財務危機預警模型zh_TW
dc.subject總體經濟因素zh_TW
dc.subjectFinancial distress prediction modelen_US
dc.subjectLogiten_US
dc.subjectMacroeconomic factorsen_US
dc.title財務比率與總體經濟因素對財務危機預警之影響zh_TW
dc.titleThe Impact of Financial Ratios and Macro-variables on Financial Distress Determinationen_US
dc.typeThesisen_US
dc.contributor.department管理學院財務金融學程zh_TW
Appears in Collections:Thesis


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