結合財務比率、智慧資本與公司治理指標於企業危機預警模式之建構

Incorporating Financial Ratios, Intellectual Capital and Corporate Governance in Business Failure Predictions

陳雪芳(Hsueh-Fang Chen) ； 李天行(Tian-Shyug Lee) ； 邱志洲(Chih-Chou Chiu)

《Electronic Commerce Studies》 8卷3期 (2010/09) Pp. 349-377

https://doi.org/10.29767/ECS.201009.0003

摘要

本研究運用整合多元適應性雲形迴歸(multivariate adaptive regression splines, MARS)與類神經網路的兩階段模式，建構企業危機診斷分類模式。且在探討企業危機的衡量指標上，除參考一般傳統財務指標外，另加入智慧資本指標與公司治理指標，希望能藉由更完整多元的企業資訊，建立新的企業危機診斷模式。依實證結果發現，經由MARS針對所考量之衡量企業危機指標進行分析，得知企業失敗除了受到傳統財務構面指標的影響外，亦受到智慧資本與公司治理構面指標的影響。此外，有關整合MARS與類神經網路方法所建構之企業危機診斷模式，亦能有效的降低企業危機診斷的誤判情況、增加時效性，是以無論在學術研究或實務工作上，實有其相當之助益。

關鍵字

企業危機 ； 智慧資本 ； 公司治理 ； 類神經網路 ； 多元適應性雲形迴歸

並列摘要

The objective of the proposed study is to investigate the performance of enterprise distress diagnosis using artificial neural networks with multivariate adaptive regression splines (MARS) analysis technique. In addition to the traditional financial ratios, the intellectual capital (IC) and corporate governance indicators are also included in the model to measure the assets of companies. The statistical analysis applied in data analysis included Wilcoxon signed-rank test, and Friedman rank test analysis of variance by ranks. The results indicate that the proposed combined approach provides higher classification accuracy and converges much faster than the conventional neural network approach. Moreover, the results also indicate that traditional financial indicators、IC and corporate governance indicators all contribute to improving the classification accuracy of the build diagnostic model.

並列關鍵字

enterprise distress diagnosis ； intellectual capital ； corporate governance ； neural networks ； multivariate adaptive regression splines

參考文獻

李天行、唐筱菁(2004)。整合財務比率與智慧資本於企業危機診斷模式之建構─類神經網路與多元適應性雲形迴歸之應用。資訊管理學報。11(2)，161-190。

Agrawal, A.,Knoeber, C. R.(1996).Firm Performance and Mechanisms to Control Agency Problems between Managers and Shareholders.Journal of Finance and Quantitative Analysis.31,377-397.

Altman, E. I.(1968).Financial Ratios, Discriminant Analysis, and the Prediction of Corporate Bankruptcy.Journal of Finance.23(4),589-609.

Altman, E. I.(1983).Corporate Financial Distress: A Complete Guide to Predicting, Avoiding, and Dealing with Bankruptcy.N.Y.:John Wiley and Sons.

Altman, E. I.,Marco, G.,Varetto, F.(1994).Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Networks (the Italian Experience).Journal of Banking and Finance.18,505-529.