林修崴臺灣大學:國際企業學研究所陳杰Chieh , ChenChenChieh2010-05-112018-06-292010-05-112018-06-292008U0001-1710200816411200http://ntur.lib.ntu.edu.tw//handle/246246/182707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。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.he 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.fter 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.謝辭................................................I要...............................................IIbstract..........................................III錄...............................................IV目錄..............................................V目錄.............................................VI一章 緒論.........................................1二章 文獻回顧.....................................3一節 信用風險概述.................................3二節 方法論.......................................4三章 研究架構.....................................5一節 變數資料來源與樣本選擇.......................5二節 解釋變數之選擇...............................7三節 實證分析架構................................23四章 實證分析....................................26一節 敘述性統計..................................26二節 變數顯著性測試..............................27三節 模型建構與誤差測試..........................36五章 結論與後續建議..............................40一節 結論........................................40二節 後續建議....................................41考文獻...........................................43application/pdf338372 bytesapplication/pdfen-US水泥業產業信用風險Cement industryIndustry Credit Risk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 Variablesthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/182707/1/ntu-97-R95724017-1.pdf