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  • 學位論文

考慮會計、產業與總體經濟因素之水泥業違約預測模型

Predicting Cement Firm Defaults with Accounting, Industrial and Macroeconomics Variables

指導教授 : 林修崴

摘要


本研究自水泥產業、上游、下游與總體經濟構面中挑選出若干變數,用以預測水泥產業違約率。本文第三章將會採用簡單線性迴歸與層級迴歸兩種模式,檢測解釋變數與產業違約率之間的關係。結果顯示,水泥進口量佔總需求量之比率、水泥廠商之全體銷貨毛利率、營建廠商銷貨毛利率、核發樓地板面積、人口增加率、房價指數等以上變數,產業內企業違約率有顯著的相關性。而樣本外的測試結果發現,相比於傳統模型,新模型的預測誤差非常微小,因此同時採用會計、產業、總體基礎的變數去預測產業違約率,有益於提升預測效率。

並列摘要


This thesis considers several variables whick are picked from upstream , downstream , cement industry and macroeconimics dimension to predict the default rate of Taiwan cement industry . In chapter 3 , I’ll examine the correlation between dependent and independent variables by using linear regression model and piecewise regression model. The result reveals that cement quantity imported divided by total cement quantity demanded , cement firms’ gross margin , construction firms’ gross margin , population increasing rate , house price index , and approbation of the building floor area have significant relevance with default rate of Taiwan Cement industry. After conducting out-sample testing , compare with trational prediction model, it shows that prediction error is tiny .Therefore , default rate prediction model which is built by account-based, industrial , and macroeconomics variables is beneficial to enhance prediction efficiency.

參考文獻


www.tcri.org.tw,財團法人台灣營建研究院
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Gujarati,D.N,2003. Basic Econometrics, 4th edition , New York:McGraw-Hill.
Mensah ,Y. M.,1984.“An Examination of the Stationarity of Multivariate bankruptcy Prediction Models :A Methodological Study,” Journal of Accounting Research, 22, Spring,320-380.

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