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題名:企業財務危機診斷模式之建構
書刊名:人文暨社會科學期刊
作者:葉忠興
作者(外文):Yeh, Chung-hsing
出版日期:2012
卷期:8:1
頁次:頁13-21
主題關鍵詞:資料探勘企業財務危機資料包絡分析約略集合支援向量機Data miningFinancial distressData envelopment analysisRough setSupport vector machine
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
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  • 共同引用共同引用:3
  • 點閱點閱:207
近年來,由於企業環境經營巨變,造成整體經濟所面臨的狀況更加艱鉅,而企業財務危機發生的可能性亦隨之提升。因此,建立一個有效的財務危機診斷模式,是當前學術界與實務界的一個重要課題,本研究整合資料探勘與資料包絡分析建構模式方法,建構企業危機診斷分類能力。此外,在探討企業危機的衡量指標上,本研究除了參考一般傳統財務性指標外,亦加入了經營績效指標,希望能藉由更完整多元的企業資訊,來幫助企業本身評估其自身的真實價值,並做出正確的決策。本研究經由約略集合理論針對所考量之衡量企業財務危機指標進行分析,得知企業發生財務危機的原因,除了受到傳統財務構面指標的影響外亦受到經營績效指標的影響。此外,整合資料探勘技術與經營績效指標所建構之企業財務危機診斷模式亦能確實有效降低企業財務危機診斷誤判的情況,是以無論在學術研究或實際工作上,實有其相當的助益。
Over the last few years, rapid changes in the global economic environment have increased the possibility of financial failures occurring. Therefore, constructing an appropriate financial distress diagnosis model has become a crucial task for the industry. The objective of this study is to investigate enterprise financial distress by integrating data mining with a data envelopment analysis (DEA) indicator. In addition to a financial indicator, the DEA indicator is also included in the model. The results indicate that the combined approach proposed in this study enables greater prediction accuracy and convergence speed compared to that of conventional data mining. Additionally, we discovered that the accurate diagnosis of enterprise financial distress is significantly influenced by both traditional financial indicators and the DEA indicator.
期刊論文
1.Shin, K.-S.、Lee, T. S.、Kim, H.-J.(2005)。An Application of Support Vector Machines in Bankruptcy Prediction Model。Expert Systems with Applications,28(1),127-135。  new window
2.Chang, C.-C.、Lin, C.-J.(2011)。LIBSVM: A library for support vector machines。ACM Transactions on Intelligent Systems and Technology,2(3),27-21。  new window
3.Belkaoi, Ahmed(1980)。Industrial Bond Ratings: A New Look。Financial Management,9(3),44-51。  new window
4.Ederington, Louis H.(1985)。Classification models and bond ratings。The Financial Review,20(4),237-262。  new window
5.Martin, Daniel(1977)。Early Warning of Bank Failure: a Logit Regression Approach。Journal of Banking and Finance,1(3),249-276。  new window
6.Lau, Amy Hing-Ling(1987)。A Five-State Financial Distress Prediction Model。Journal of Accounting Research,25(1),127-138。  new window
7.Pawlak, Zdzisław(1982)。Rough Sets。International Journal of Computer and Information Sciences,11(5),341-356。  new window
8.Kim, K.-J.(2003)。Financial time series forecasting using support vector machines。Neurocomputing,55(1/2),307-319。  new window
9.Bose, I.(2006)。Deciding the financial health of dot-coms using rough sets。Information & Management,43(7),835-846。  new window
10.Beaver, W. H.(1966)。Financial Ratios as Predictors of Failure。Journal of Accounting Research,4(3),71-111。  new window
11.Banker, Rajiv D.、Charnes, Abraham、Cooper, William Wager(1984)。Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis。Management Science,30(9),1078-1092。  new window
12.Ohlson, James A.(1980)。Financial Ratios and the Probabilistic Prediction of Bankruptcy。Journal of Accounting Research,18(1),109-131。  new window
13.Altman, Edward I.(1968)。Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy。The Journal of Finance,23(4),589-609。  new window
14.Boussofiane, A.、Dyson, R. G.、Thanassoulis, E.(1991)。Applied data envelopment analysis。European Journal of Operational Research,52(1),1-15。  new window
15.Farrell, Michael James(1957)。The Measurement of Productive Efficiency。Journal of the Royal Statistical Society: Series A (General),120(3),253-290。  new window
16.Charnes, Abraham、Cooper, William W.、Rhodes, Edwardo(1978)。Measuring the efficiency of decision making units。European Journal of Operational Research,2(6),429-444。  new window
17.Zmijewski, Mark E.(1984)。Methodological Issues Related to the Estimation of Financial Distress Prediction Models。Journal of Accounting Research,22(Supplement),59-82。  new window
18.蔡碧徽、黃鈺萍(2010)。財務危機預測模型之比較分析。當代會計,11(1),51-78。new window  延伸查詢new window
19.Gestel, T. V.、Baesens, B.、Suykens, J. A. K.、Van den Poel, D.、Baestaens, D. E.、Willekens, M.(2006)。Bayesian kernel based classificationi for financial distress detection。European Journal of Operational Ressearch,172,979-1003。  new window
20.Jostarndt, P.、Sautner, Z.(2008)。Financial distress, corporate control, and management turnover。Journal of Banking & Finance,32(10),2188-2204。  new window
21.Pinches, G.、Mingo, K.(1975)。The role of xubordination and industrial bond ratings。Journal of Finance,3,201-206。  new window
22.Koh, H.(1991)。Model predictions and auditor assessments of going concern status。Accounting and Business Research,21(84),331-338。  new window
23.Xu, X.、Wang, Y.(2009)。Financial failure prediction using efficiency as a preditor。Expert Systems with Applications,36(1),366-373。  new window
學位論文
1.陳肇榮(1983)。運用財務比率預測企業財務危機之實證研究(博士論文)。國立政治大學。new window  延伸查詢new window
2.陳莉莉(1994)。財務困難預測模式中分割點之探討—以台灣上市公司為例。國立交通大學。  延伸查詢new window
圖書
1.Minoux, M.(1986)。Mathematical Programming: Theory and Algorithms。New York, NY:John Wiley & Sons。  new window
2.Altman, E. I.(1983)。Corporate Financial Distress: A Complete Guide to Predicting, Avoiding and Dealing with Bankruptcy。New York:Wiley。  new window
3.Vapnik, V. N.(2000)。The Nature of Statistical Learning Theory。New York:Springer。  new window
 
 
 
 
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