綜合收益與應計項目在財務危機預測中的表現;The Role of Comprehensive Income and Accrual in Predicting Bankruptcy

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > Electronic Thesis & Dissertation > Item 987654321/77651

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/77651

Title:	綜合收益與應計項目在財務危機預測中的表現;The Role of Comprehensive Income and Accrual in Predicting Bankruptcy
Authors:	丁諾芙;Novitasari, Dinda
Contributors:	資訊工程學系
Keywords:	應計項目;財務比率;破產預測;accruals;financial ratio;bankruptcy prediction
Date:	2018-07-26
Issue Date:	2018-08-31 14:51:44 (UTC+8)
Publisher:	國立中央大學
Abstract:	這項研究旨在擴展財務危機預測研究方向。我們專注於找出能提升財務危機預測的因子，其中大多數以前的研究構建了基於財務比率的模型來進行預測。以往的研究將可自由分配的應計項目當作盈餘管理的代表和權益管理與財務比率相結合，證明盈餘管理對財務比率和破產預測有影響。然而，以前的研究沒有一個分析應計對財務比率的影響，以及它如何影響破產預測的表現。因此，為了研究此問題：應計項目資料是否有助於財務比率制定更好的破產預測模型？為了檢驗這些問題，我們提出了財務比率和權責發生製模型的組合，並進行了綜合分析。這項研究表明，綜合收入可以提供比主要收入更多的信息。這些發現將有助於私人和公共投資作出貸款決定。;This study is aimed to fill the gap in the bankruptcy prediction research. We focused on the variable predictors while most of the previous research build a financial ratio-based model to make a prediction. Previous work combined discretionary accrual as a proxy of earnings management with the financial ratio to prove that earning management have the impact on financial ratio and bankruptcy prediction. However, none of the previous research presents an analysis of the impact of accrual on financial ratios and how it may affect bankruptcy prediction performance. Therefore, this study is motivated by research question: could accruals information help financial ratios to make better bankruptcy prediction model? To examine this question, we proposed a combination of financial ratio and accrual model and conducted a comprehensive analysis. This study demonstrated that comprehensive income could give more information than the main income. These findings will help private and public investment to give a lending decision.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	139	View/Open

社群 sharing

Loading...