透過您的圖書館登入
IP:3.145.170.65
  • 學位論文

粗集預測模型於企業財務危機之應用

Rough set prediction model on corporate financial crisis application

指導教授 : 張顯榮

摘要


永續經營及維持競爭力是企業生存之重要目標,因此企業者必須要有明確的營運策略,而企業的經營績效與財務危機會反映在財務報表中。本研究以台灣地區上、下市公司各財務變數及非財務變數資料為研究樣本,樣本選取自西元2003~2016年。本研究應用粗集軟體(RSES)方法來建立財務危機預測模型,以萃取出具有關鍵性之核心屬性,並應用於本研究模型實證驗證,以達到最佳的財務危機預測正確率,進而分析出企業可能發生財務危機之前兆,以供企業管理者、投資人、債權人及金融機構等有效地做出相關決策。經粗集軟體約簡結果顯示,在所收集的24項屬性中,財務比率屬性有21項、非財務屬性有3項(公司年資、公司三年內是否更換會計師及公司是否為四大會計事務所簽證)。最後並將本研究實證分析結果相互比較以探討出較佳預測正確率年度。

並列摘要


The most important managerial economics target is company sustainable management and keep competing. Therefore, business operators must possess explicitly strategy then business performance, financial crisis reflect on financial statements. This research is based on the samples of financial variable and non-financial variable from listed company and unlisted companys, they are from 2003 to 2016. The research applies rough set exploration system (RSES) to construct financial distress prediction models to find out crucial core attributes, and applies to this model to prove the financial distress prediction accuracy, in order to achieve the best accuracy rules and annual of financial prediction crisis. To analysis the omen of financial distress, a company may occur for business managers, investors, creditor and financial institutions to make availably decision. This research collects twenty-four attributes, which contains twenty-one financial rates attributes and three non-financial attributes (company seniority, changing accounting firm within three years, and is it top four accounting firm). Finally, the empirical results of this research are compares with each other to find out the best predict correct rate annual and rules.

參考文獻


中文文獻
1. 王姿婷(2000),「利用約略集合論於數量形資料之知識擷取」,義守大學,資訊工程學系碩士班論文。
2. 吳雅娟(2006),「以模糊理論建構台灣上市櫃電子公司財務危機預警模型與實 證」,國立成功大學,高階管理碩士在職專班碩士論文。
3. 林宓穎 (2002),「上市公司財務危機預警模式之研究」,國立政治大學,財政學系研究所碩士論文。
4. 林欣慧(2006),「應用資料探勘技術於信用卡授信-以國內銀行為例」,華梵大學,資訊管理學系碩士論文。

延伸閱讀