Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 房屋抵押貸款終止行為之研究
A study on the termination behaviors of residential mortgages
作者 賴景苑
貢獻者 林左裕
賴景苑
關鍵詞 違約
提前清償
多項式邏吉斯廻歸模型
LTV
PTI
DBR
次級房貸
Default
Prepayment
Multi-nominal logistic regression
Loan-to-Value
Payment-to-Income
Debt burden ratio
Subprime mortgage
日期 2011
上傳時間 17-Apr-2012 09:24:48 (UTC+8)
摘要 本研究同時探討房貸違約與提前清償終止行為,並對提前清償動機『出售』與『轉貸』予兼容並蓄。蒐集自H銀行房貸資料,運用多項式邏吉斯廻歸模型分析法,以總體經濟因子之有無分兩階段,對應變數-房貸終止行為(Y1)及提前清償動機(Y2),採取雙層次深入實證。
實證結果:從機率模型配適度與解釋力之實證分析中,獲得一致結論,對於含有總體經濟因子-經濟成長率與CPI 年增率之模型,其所計算Cox & Snell及Nagelkerke之假 值分別為0.534及0.611,均大於0.5以上,其相對性與獨立性上,均具備較高的模型解釋力,為一較優之房貸違約與提前清償終止行為模型,其相關顯著影響因子如下:
一、對違約具有顯著影響之因子,包括:借款年限、初貸利率、LTV、保證人、次級房貸、部分提前清償、購屋投資、 PTI、DBR>22、軍警公教人員、設二胎、區域台北市、區域新北市及CPI年增率等14項。
二、對提前清償具有顯著影響之因子,包括:初貸利率、次級房貸、部分提前清償、購屋投資、購屋自住、年資、設二胎、CPI年增率及經濟成長率等9項。
三、對提前清償動機-『出售』之顯著因子:次級房貸、部分提前清償、購屋投資、設二胎等4項。
四、對提前清償動機-『轉貸』之顯著因子:初貸利率、次級房貸、購屋自住、年資、設二胎、CPI年增率及經濟成長率等7項。。
本實證結果所建構含有總體經濟因子之房貸終止行為機率模型,以其顯著影響因子再深入探討提前清償-『出售』與『轉貸』之動機,使提前清償行為模式更精確性地呈現,有助於提供金融機構,在計算違約機率與提前清償機率之模型架構上及授信審核評估上,具貢獻價值之參考資訊。
This research explores the default and prepayment on the termination behaviors of residential mortgages, as well as the motives of prepayment in house selling or refinancing. Mortgage data are collected from the H bank in Taiwan, using the multi-nominal logistic regression analytic method to explore the factors affecting the default and prepayment behaviors.

Empirical results show that loan period, initial mortgage rate, loan-to-value ratio (LTV), the existence of the guarantor, subprime mortgages, curtailment, investment purpose, payment-to-income (PTI), debt burden ratio exceeded 22 (DBR>22), government employees or teachers, second lien, location in Taipei city, the new Taipei city and CPI annual rate of increase are the significant factors of default behavior. As for the variables on prepayment, the initial mortgage rate, subprime mortgages, curtailment, investment purpose, residential use, DBR>22, the age of professional career, second lien, CPI annual rate of increase and economical growth rate are significant. For more detailed curtailment behavior, the empirical results show that house sale subprime mortgages, curtailment, residential investment purpose, second lien are significant factors. As for the variables in inter-bank refinancing initial interest rate, subprime mortgages, residential investment purpose, the age of professional career, second lien, CPI annual rate of increase and economical growth rate are significant factors.

Results of this research may provide financial institutions precious references on the mortgage default and prepayment behaviors. The mortgage industry can take into account of the significant results on the capital planning in the future.
參考文獻 中文
1‧王濟川、郭志剛,2004,『Logistic 廻歸模型-方法及應用』,二版,
台北,五南圖書出版股份有限公司。
2‧王儷璇,2004,『商業銀行如何衡量住宅貸款之違約機率與違約損失率-
內部模型法之應用』,國立中央大學財務金融研究所碩士論文:桃園。
3‧江百信、張金鶚,1995,『我國購屋貸款放款條件之研究』,『住宅學
報』,第三期,頁 1-20。
4‧江建良,1990,『新商業銀行經營策略』,初版,台北,華泰圖書文物公
司。
5‧朱容徵,2008,『美國次級房貸對全球化經濟的影響』,『正修學報』,
第二十一期,頁111-124。
6‧李玉真,2003,『房屋貸款戶資料探勘之研究』,輔仁大學金融研究所碩
士論文:台北。
7‧李桐豪、呂美慧,2000,『金融機構房貸客戶授信評量模式分析-
Logistic 廻歸之應用』,『台灣金融財務季刊』,第1 卷第1 期,
頁1-20。
8‧林左裕,2008,『美國次級房貸風暴對台灣金融資產證券化及投資者之啟
示』,『住宅學報』,第十七卷第一期,頁 111-123。
9‧林左裕,2009,『再論美國次級房貸風暴對我國金融資產證券化、估價制
度及投資者之啟示』,『土地問題研究季刊』,8卷3期,頁18-34。
10‧林左裕、陳昆賢、蘇哲培,2002,『我國發行不動產抵押權證券之評價
研究(The Study of Pricing of Mortgage-Backed Securities
( MBSs) in Taiwan),『中華民國住宅學會第十一屆年會論文集』,
頁88-112,場次:B1-3。
11‧林左裕、賴郁媛,2005,『我國銀行業逾放比與總體經濟因素間關係之
研究』,『商管科技季刊』,第六卷,第一期,頁165-179。
12‧林左裕、林宗漢、柯俊楨,2007,『應用存活分析於不動產抵押債權證
券評價之研究』,『證券市場發展季刊』, 19(4),頁121-153,
( NSC 92-2626-H-025-001研究成果) (TSSCI)。
13‧林左裕、劉長寬,2003,『應用Logit 模型於銀行授信違約行為之研
究』,『中華民國住宅學會第十二屆年會論文集』,頁92-119,場次:
H1-1。
14‧林建甫,2008,『Survival Analysis 存活分析』初版,台北:雙葉
書廊。
15‧林哲群,2007,『衡量住宅貸款部分提前清償機率』,行政院國家科學
委員會專題研究計畫成果報告:台北。
16‧林哲群、張家華,2009,『美國特殊房貸信用風險之初探』,『金融聯
合徵信雙月刊』,第七期,頁36-48。
17‧林哲群、張家華,2009 ,『房貸違約率估計之初探』,『金融聯合徵信
雙月刊』,2009年6月號,第七期。
18‧花敬群,2000,『當前台灣房地產研究需求之探討』,『中華民國住宅
學會第九屆年會論文集』,頁575-590,場次:2D-3。
19‧周欣怡,2008,『房屋貸款違約預測-存活分析模型之應用』,真理大學
財經研究所碩士論文:台北。
20‧周建新、于鴻福、陳進財,2004,『銀行業房貸授信風險評估因素之選
擇』,『中華管理評論-國際學報』,頁77-103。
21‧郭雲啟,2006,『房屋貸款提前還款再貸款之研究-以S 銀行為例』,中
原大學企業管理研究所碩士論文:桃園。
22‧曾銘宗,2000,『逾期放款比率與平均放款利率及失業率間關係之研
究』,『存款保險資訊季刊』,14(1),頁140-149。
23‧黃程瑋,2006,『應用資料探勘法建構房屋抵押貸款信用評分模型』,
真理大學財經研究所碩士論文:台北。
24‧張文智,2003,『應用Logistic Regression 於個人房貸戶信用評估
之研究』,國立中正大學國際經濟研究所碩士論文:嘉義。
25‧楊顯爵、林左裕、陳宗豪,2008,『住宅抵押貸款違約之研究--影響因
素之顯著性分析』,『台灣土地研究』,11(2),頁1-36,
(NSC 97-2410-H-004-107 研究成果)(TSSCI)。
26‧黃建智,2004,『以卜瓦松廻歸方法探討房屋抵押貸款提前清償及違約
決策』,國立政治大學企業管理研究所碩士論文:台北。
27‧鄭歆蕊 ,2007,『兩階段預警模型之研究-以台南市房貸為例』,國立
成功大學統計學系碩博士班碩士論文:台南。
28‧劉展宏,2002。『我國購屋貸款提前清償機率之研究』,『中華民國住
宅學會第十一屆年會論文集』,頁46-60,場次:B1-1。
29‧劉展宏、張金鶚,1999,『一般購屋貸款與首次購屋貸款提前清償之比
較研究』,『中華民國住宅學會第八屆年會論文集』,頁177-195。
30. 簡俊永,2005,『不動產擔保授信違約預測模式之研究』,國立高雄應
用科技大學商務經營研究所碩士論文:高雄。
英文
1‧Archer,Wayne R.,David C.Ling and Gary A.McGill,1996,
“The Effect of Income and Collateral Constraints on
Residential Mortgage Termination”,Regional Science
and Urban Economics ,Vol.26, pp235-261.
2‧Bartholomew, Lynn , Berk Jonathan and Roll Richard
,1988,“Mortgage Securities Research Adjustable Rate
Mortgages: Prepayment Behavior”, Housing Finance
Review,Vol.7, pp.31-46.
3‧Beaver, W. H.,1966, “ Financial Ratios as Predictor of
Failure” Journal of Accounting Research,pp 71-111.
4‧Che-Chun Lin,Tyler T.Yang,2005,“Curtailment as a
mortgage performance indicator”, Journal of Housing
Economics ,14(2005),pp 294-314.
5‧Espahibodi,P.,1991,“Identification of Problem Banks and
Binary Choice Models.” Journal of Banking & Finance,
15, No. 1, pp. 53-71.
6‧Giliberto, S. Michael and Thibodeau Thomas G. ,1989,
“Modeling Conventional Residential Mortgage Refinances ”
,The Journal of Real Estate Finance and Economics,Vol.2
,No.4,pp 285-299.
7‧Green, Jerry and Shoven John B.,1986, “The Effects of
Interest Rates on Mortgage Prepayments ”,The Journal of
Money, Credit, and Banking, Vol.1, No.1,pp 41-59.
8‧LaCour-Little ,Michael,1999,“Another Look at the Role
of Borrower Characteristics in Predicting Mortgage
Prepayments”,Journal of Housing Reserch,Vol.10,pp.
45-60.
9‧Lin, Tsoyu Calvin,2004,“A Study on the Termination
Behavior of Residential Mortgages in Taiwan”, Journal
of Agricultural Economics,農業經濟半年刊,76, pp 209-235
(NSC91-2626-H-025-001研究成果) (TSSCI).
10‧Orgler, Y. E.,1970,“ A Credit Scoring Model for
Commercial Loan”, Journal of Money,Credit, and Banking,
pp 435-445.
11‧Schwartz, E. S., and Torous, W. N.,1989,“Prepayment
and the Valuation of Mortgage Backed Securities”
,Journal of Finance,40:2, pp 375-392.
12‧Steenackers, A. and Goovaerts, M. J. ,1989,“A Credit
Scoring Model for Personal Loans”,Journal of Insurance
Mathematics Economics, pp 31-34.
13‧Zorn, Peter M. and Lea Michael J.,1989, “Mortgage
Borrower Repayment Behavior: A Microeconomics
Analysis with Canadian Adjustable Rate Mortgage Data”,
AREUEA Journal ,Vol.17, No.1, pp.118-136.
描述 碩士
國立政治大學
地政研究所
96923020
100
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0096923020
資料類型 thesis
dc.contributor.advisor 林左裕zh_TW
dc.contributor.author (Authors) 賴景苑zh_TW
dc.creator (作者) 賴景苑zh_TW
dc.date (日期) 2011en_US
dc.date.accessioned 17-Apr-2012 09:24:48 (UTC+8)-
dc.date.available 17-Apr-2012 09:24:48 (UTC+8)-
dc.date.issued (上傳時間) 17-Apr-2012 09:24:48 (UTC+8)-
dc.identifier (Other Identifiers) G0096923020en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/52806-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 地政研究所zh_TW
dc.description (描述) 96923020zh_TW
dc.description (描述) 100zh_TW
dc.description.abstract (摘要) 本研究同時探討房貸違約與提前清償終止行為,並對提前清償動機『出售』與『轉貸』予兼容並蓄。蒐集自H銀行房貸資料,運用多項式邏吉斯廻歸模型分析法,以總體經濟因子之有無分兩階段,對應變數-房貸終止行為(Y1)及提前清償動機(Y2),採取雙層次深入實證。
實證結果:從機率模型配適度與解釋力之實證分析中,獲得一致結論,對於含有總體經濟因子-經濟成長率與CPI 年增率之模型,其所計算Cox & Snell及Nagelkerke之假 值分別為0.534及0.611,均大於0.5以上,其相對性與獨立性上,均具備較高的模型解釋力,為一較優之房貸違約與提前清償終止行為模型,其相關顯著影響因子如下:
一、對違約具有顯著影響之因子,包括:借款年限、初貸利率、LTV、保證人、次級房貸、部分提前清償、購屋投資、 PTI、DBR>22、軍警公教人員、設二胎、區域台北市、區域新北市及CPI年增率等14項。
二、對提前清償具有顯著影響之因子,包括:初貸利率、次級房貸、部分提前清償、購屋投資、購屋自住、年資、設二胎、CPI年增率及經濟成長率等9項。
三、對提前清償動機-『出售』之顯著因子:次級房貸、部分提前清償、購屋投資、設二胎等4項。
四、對提前清償動機-『轉貸』之顯著因子:初貸利率、次級房貸、購屋自住、年資、設二胎、CPI年增率及經濟成長率等7項。。
本實證結果所建構含有總體經濟因子之房貸終止行為機率模型,以其顯著影響因子再深入探討提前清償-『出售』與『轉貸』之動機,使提前清償行為模式更精確性地呈現,有助於提供金融機構,在計算違約機率與提前清償機率之模型架構上及授信審核評估上,具貢獻價值之參考資訊。
zh_TW
dc.description.abstract (摘要) This research explores the default and prepayment on the termination behaviors of residential mortgages, as well as the motives of prepayment in house selling or refinancing. Mortgage data are collected from the H bank in Taiwan, using the multi-nominal logistic regression analytic method to explore the factors affecting the default and prepayment behaviors.

Empirical results show that loan period, initial mortgage rate, loan-to-value ratio (LTV), the existence of the guarantor, subprime mortgages, curtailment, investment purpose, payment-to-income (PTI), debt burden ratio exceeded 22 (DBR>22), government employees or teachers, second lien, location in Taipei city, the new Taipei city and CPI annual rate of increase are the significant factors of default behavior. As for the variables on prepayment, the initial mortgage rate, subprime mortgages, curtailment, investment purpose, residential use, DBR>22, the age of professional career, second lien, CPI annual rate of increase and economical growth rate are significant. For more detailed curtailment behavior, the empirical results show that house sale subprime mortgages, curtailment, residential investment purpose, second lien are significant factors. As for the variables in inter-bank refinancing initial interest rate, subprime mortgages, residential investment purpose, the age of professional career, second lien, CPI annual rate of increase and economical growth rate are significant factors.

Results of this research may provide financial institutions precious references on the mortgage default and prepayment behaviors. The mortgage industry can take into account of the significant results on the capital planning in the future.
en_US
dc.description.tableofcontents 授權頁.....................................................1
口試委員簽名表..............................................2
謝誌.......................................................3
中文摘要...................................................4
英文摘要...................................................5
目錄.......................................................6
表目錄.....................................................7
圖目錄.....................................................9
第一章 緒論................................................10
第一節 研究背景、動機與目的.................................10
第二節 研究問題與方法......................................14
第三節 研究範圍與流程......................................16
第二章 文獻回顧與相關理論....................................19
第一節 房貸違約與提前清償行為相關文獻探討.....................19
第二節 自變數屬性類別之整合與計量方法之選取...................30
第三節 房貸違約與提前清償相關學說與理論.......................33
第三章 銀行授信與房貸之探討..................................38
第一節 銀行授信內涵與理念演進...............................38
第二節 房貸違約及提前清償之意義與行為探討.....................43
第三節 臺灣房貸類型現況.....................................55
第四章 研究設計與變數交叉分析................................59
第一節 研究設計............................................59
第二節 資料說明與敘述統計...................................63
第三節 研究方法............................................72
第四節 交叉分析與影響方向之預測..............................77
第五章 實證結果與分析.......................................95
第一節 考量總體經濟因子與否之實證結果........................95
第二節 房貸終止行為機率模型之建構、配適度與解釋力.............102
第三節 實證分析...........................................110
第六章 結論與建議..........................................118
第一節 結論..............................................118
第二節 建議..............................................120
參考文獻..................................................121
附錄一、房貸戶相關資料表(空白)..............................125
附錄二、多項式邏吉斯廻歸模實證..............................126
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0096923020en_US
dc.subject (關鍵詞) 違約zh_TW
dc.subject (關鍵詞) 提前清償zh_TW
dc.subject (關鍵詞) 多項式邏吉斯廻歸模型zh_TW
dc.subject (關鍵詞) LTVzh_TW
dc.subject (關鍵詞) PTIzh_TW
dc.subject (關鍵詞) DBRzh_TW
dc.subject (關鍵詞) 次級房貸zh_TW
dc.subject (關鍵詞) Defaulten_US
dc.subject (關鍵詞) Prepaymenten_US
dc.subject (關鍵詞) Multi-nominal logistic regressionen_US
dc.subject (關鍵詞) Loan-to-Valueen_US
dc.subject (關鍵詞) Payment-to-Incomeen_US
dc.subject (關鍵詞) Debt burden ratioen_US
dc.subject (關鍵詞) Subprime mortgageen_US
dc.title (題名) 房屋抵押貸款終止行為之研究zh_TW
dc.title (題名) A study on the termination behaviors of residential mortgagesen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文zh_TW
dc.relation.reference (參考文獻) 1‧王濟川、郭志剛,2004,『Logistic 廻歸模型-方法及應用』,二版,zh_TW
dc.relation.reference (參考文獻) 台北,五南圖書出版股份有限公司。zh_TW
dc.relation.reference (參考文獻) 2‧王儷璇,2004,『商業銀行如何衡量住宅貸款之違約機率與違約損失率-zh_TW
dc.relation.reference (參考文獻) 內部模型法之應用』,國立中央大學財務金融研究所碩士論文:桃園。zh_TW
dc.relation.reference (參考文獻) 3‧江百信、張金鶚,1995,『我國購屋貸款放款條件之研究』,『住宅學zh_TW
dc.relation.reference (參考文獻) 報』,第三期,頁 1-20。zh_TW
dc.relation.reference (參考文獻) 4‧江建良,1990,『新商業銀行經營策略』,初版,台北,華泰圖書文物公zh_TW
dc.relation.reference (參考文獻) 司。zh_TW
dc.relation.reference (參考文獻) 5‧朱容徵,2008,『美國次級房貸對全球化經濟的影響』,『正修學報』,zh_TW
dc.relation.reference (參考文獻) 第二十一期,頁111-124。zh_TW
dc.relation.reference (參考文獻) 6‧李玉真,2003,『房屋貸款戶資料探勘之研究』,輔仁大學金融研究所碩zh_TW
dc.relation.reference (參考文獻) 士論文:台北。zh_TW
dc.relation.reference (參考文獻) 7‧李桐豪、呂美慧,2000,『金融機構房貸客戶授信評量模式分析-zh_TW
dc.relation.reference (參考文獻) Logistic 廻歸之應用』,『台灣金融財務季刊』,第1 卷第1 期,zh_TW
dc.relation.reference (參考文獻) 頁1-20。zh_TW
dc.relation.reference (參考文獻) 8‧林左裕,2008,『美國次級房貸風暴對台灣金融資產證券化及投資者之啟zh_TW
dc.relation.reference (參考文獻) 示』,『住宅學報』,第十七卷第一期,頁 111-123。zh_TW
dc.relation.reference (參考文獻) 9‧林左裕,2009,『再論美國次級房貸風暴對我國金融資產證券化、估價制zh_TW
dc.relation.reference (參考文獻) 度及投資者之啟示』,『土地問題研究季刊』,8卷3期,頁18-34。zh_TW
dc.relation.reference (參考文獻) 10‧林左裕、陳昆賢、蘇哲培,2002,『我國發行不動產抵押權證券之評價zh_TW
dc.relation.reference (參考文獻) 研究(The Study of Pricing of Mortgage-Backed Securitieszh_TW
dc.relation.reference (參考文獻) ( MBSs) in Taiwan),『中華民國住宅學會第十一屆年會論文集』,zh_TW
dc.relation.reference (參考文獻) 頁88-112,場次:B1-3。zh_TW
dc.relation.reference (參考文獻) 11‧林左裕、賴郁媛,2005,『我國銀行業逾放比與總體經濟因素間關係之zh_TW
dc.relation.reference (參考文獻) 研究』,『商管科技季刊』,第六卷,第一期,頁165-179。zh_TW
dc.relation.reference (參考文獻) 12‧林左裕、林宗漢、柯俊楨,2007,『應用存活分析於不動產抵押債權證zh_TW
dc.relation.reference (參考文獻) 券評價之研究』,『證券市場發展季刊』, 19(4),頁121-153,zh_TW
dc.relation.reference (參考文獻) ( NSC 92-2626-H-025-001研究成果) (TSSCI)。zh_TW
dc.relation.reference (參考文獻) 13‧林左裕、劉長寬,2003,『應用Logit 模型於銀行授信違約行為之研zh_TW
dc.relation.reference (參考文獻) 究』,『中華民國住宅學會第十二屆年會論文集』,頁92-119,場次:zh_TW
dc.relation.reference (參考文獻) H1-1。zh_TW
dc.relation.reference (參考文獻) 14‧林建甫,2008,『Survival Analysis 存活分析』初版,台北:雙葉zh_TW
dc.relation.reference (參考文獻) 書廊。zh_TW
dc.relation.reference (參考文獻) 15‧林哲群,2007,『衡量住宅貸款部分提前清償機率』,行政院國家科學zh_TW
dc.relation.reference (參考文獻) 委員會專題研究計畫成果報告:台北。zh_TW
dc.relation.reference (參考文獻) 16‧林哲群、張家華,2009,『美國特殊房貸信用風險之初探』,『金融聯zh_TW
dc.relation.reference (參考文獻) 合徵信雙月刊』,第七期,頁36-48。zh_TW
dc.relation.reference (參考文獻) 17‧林哲群、張家華,2009 ,『房貸違約率估計之初探』,『金融聯合徵信zh_TW
dc.relation.reference (參考文獻) 雙月刊』,2009年6月號,第七期。zh_TW
dc.relation.reference (參考文獻) 18‧花敬群,2000,『當前台灣房地產研究需求之探討』,『中華民國住宅zh_TW
dc.relation.reference (參考文獻) 學會第九屆年會論文集』,頁575-590,場次:2D-3。zh_TW
dc.relation.reference (參考文獻) 19‧周欣怡,2008,『房屋貸款違約預測-存活分析模型之應用』,真理大學zh_TW
dc.relation.reference (參考文獻) 財經研究所碩士論文:台北。zh_TW
dc.relation.reference (參考文獻) 20‧周建新、于鴻福、陳進財,2004,『銀行業房貸授信風險評估因素之選zh_TW
dc.relation.reference (參考文獻) 擇』,『中華管理評論-國際學報』,頁77-103。zh_TW
dc.relation.reference (參考文獻) 21‧郭雲啟,2006,『房屋貸款提前還款再貸款之研究-以S 銀行為例』,中zh_TW
dc.relation.reference (參考文獻) 原大學企業管理研究所碩士論文:桃園。zh_TW
dc.relation.reference (參考文獻) 22‧曾銘宗,2000,『逾期放款比率與平均放款利率及失業率間關係之研zh_TW
dc.relation.reference (參考文獻) 究』,『存款保險資訊季刊』,14(1),頁140-149。zh_TW
dc.relation.reference (參考文獻) 23‧黃程瑋,2006,『應用資料探勘法建構房屋抵押貸款信用評分模型』,zh_TW
dc.relation.reference (參考文獻) 真理大學財經研究所碩士論文:台北。zh_TW
dc.relation.reference (參考文獻) 24‧張文智,2003,『應用Logistic Regression 於個人房貸戶信用評估zh_TW
dc.relation.reference (參考文獻) 之研究』,國立中正大學國際經濟研究所碩士論文:嘉義。zh_TW
dc.relation.reference (參考文獻) 25‧楊顯爵、林左裕、陳宗豪,2008,『住宅抵押貸款違約之研究--影響因zh_TW
dc.relation.reference (參考文獻) 素之顯著性分析』,『台灣土地研究』,11(2),頁1-36,zh_TW
dc.relation.reference (參考文獻) (NSC 97-2410-H-004-107 研究成果)(TSSCI)。zh_TW
dc.relation.reference (參考文獻) 26‧黃建智,2004,『以卜瓦松廻歸方法探討房屋抵押貸款提前清償及違約zh_TW
dc.relation.reference (參考文獻) 決策』,國立政治大學企業管理研究所碩士論文:台北。zh_TW
dc.relation.reference (參考文獻) 27‧鄭歆蕊 ,2007,『兩階段預警模型之研究-以台南市房貸為例』,國立zh_TW
dc.relation.reference (參考文獻) 成功大學統計學系碩博士班碩士論文:台南。zh_TW
dc.relation.reference (參考文獻) 28‧劉展宏,2002。『我國購屋貸款提前清償機率之研究』,『中華民國住zh_TW
dc.relation.reference (參考文獻) 宅學會第十一屆年會論文集』,頁46-60,場次:B1-1。zh_TW
dc.relation.reference (參考文獻) 29‧劉展宏、張金鶚,1999,『一般購屋貸款與首次購屋貸款提前清償之比zh_TW
dc.relation.reference (參考文獻) 較研究』,『中華民國住宅學會第八屆年會論文集』,頁177-195。zh_TW
dc.relation.reference (參考文獻) 30. 簡俊永,2005,『不動產擔保授信違約預測模式之研究』,國立高雄應zh_TW
dc.relation.reference (參考文獻) 用科技大學商務經營研究所碩士論文:高雄。zh_TW
dc.relation.reference (參考文獻) 英文zh_TW
dc.relation.reference (參考文獻) 1‧Archer,Wayne R.,David C.Ling and Gary A.McGill,1996,zh_TW
dc.relation.reference (參考文獻) “The Effect of Income and Collateral Constraints onzh_TW
dc.relation.reference (參考文獻) Residential Mortgage Termination”,Regional Sciencezh_TW
dc.relation.reference (參考文獻) and Urban Economics ,Vol.26, pp235-261.zh_TW
dc.relation.reference (參考文獻) 2‧Bartholomew, Lynn , Berk Jonathan and Roll Richardzh_TW
dc.relation.reference (參考文獻) ,1988,“Mortgage Securities Research Adjustable Ratezh_TW
dc.relation.reference (參考文獻) Mortgages: Prepayment Behavior”, Housing Financezh_TW
dc.relation.reference (參考文獻) Review,Vol.7, pp.31-46.zh_TW
dc.relation.reference (參考文獻) 3‧Beaver, W. H.,1966, “ Financial Ratios as Predictor ofzh_TW
dc.relation.reference (參考文獻) Failure” Journal of Accounting Research,pp 71-111.zh_TW
dc.relation.reference (參考文獻) 4‧Che-Chun Lin,Tyler T.Yang,2005,“Curtailment as azh_TW
dc.relation.reference (參考文獻) mortgage performance indicator”, Journal of Housingzh_TW
dc.relation.reference (參考文獻) Economics ,14(2005),pp 294-314.zh_TW
dc.relation.reference (參考文獻) 5‧Espahibodi,P.,1991,“Identification of Problem Banks andzh_TW
dc.relation.reference (參考文獻) Binary Choice Models.” Journal of Banking & Finance,zh_TW
dc.relation.reference (參考文獻) 15, No. 1, pp. 53-71.zh_TW
dc.relation.reference (參考文獻) 6‧Giliberto, S. Michael and Thibodeau Thomas G. ,1989,zh_TW
dc.relation.reference (參考文獻) “Modeling Conventional Residential Mortgage Refinances ”zh_TW
dc.relation.reference (參考文獻) ,The Journal of Real Estate Finance and Economics,Vol.2zh_TW
dc.relation.reference (參考文獻) ,No.4,pp 285-299.zh_TW
dc.relation.reference (參考文獻) 7‧Green, Jerry and Shoven John B.,1986, “The Effects ofzh_TW
dc.relation.reference (參考文獻) Interest Rates on Mortgage Prepayments ”,The Journal ofzh_TW
dc.relation.reference (參考文獻) Money, Credit, and Banking, Vol.1, No.1,pp 41-59.zh_TW
dc.relation.reference (參考文獻) 8‧LaCour-Little ,Michael,1999,“Another Look at the Rolezh_TW
dc.relation.reference (參考文獻) of Borrower Characteristics in Predicting Mortgagezh_TW
dc.relation.reference (參考文獻) Prepayments”,Journal of Housing Reserch,Vol.10,pp.zh_TW
dc.relation.reference (參考文獻) 45-60.zh_TW
dc.relation.reference (參考文獻) 9‧Lin, Tsoyu Calvin,2004,“A Study on the Terminationzh_TW
dc.relation.reference (參考文獻) Behavior of Residential Mortgages in Taiwan”, Journalzh_TW
dc.relation.reference (參考文獻) of Agricultural Economics,農業經濟半年刊,76, pp 209-235zh_TW
dc.relation.reference (參考文獻) (NSC91-2626-H-025-001研究成果) (TSSCI).zh_TW
dc.relation.reference (參考文獻) 10‧Orgler, Y. E.,1970,“ A Credit Scoring Model forzh_TW
dc.relation.reference (參考文獻) Commercial Loan”, Journal of Money,Credit, and Banking,zh_TW
dc.relation.reference (參考文獻) pp 435-445.zh_TW
dc.relation.reference (參考文獻) 11‧Schwartz, E. S., and Torous, W. N.,1989,“Prepaymentzh_TW
dc.relation.reference (參考文獻) and the Valuation of Mortgage Backed Securities”zh_TW
dc.relation.reference (參考文獻) ,Journal of Finance,40:2, pp 375-392.zh_TW
dc.relation.reference (參考文獻) 12‧Steenackers, A. and Goovaerts, M. J. ,1989,“A Creditzh_TW
dc.relation.reference (參考文獻) Scoring Model for Personal Loans”,Journal of Insurancezh_TW
dc.relation.reference (參考文獻) Mathematics Economics, pp 31-34.zh_TW
dc.relation.reference (參考文獻) 13‧Zorn, Peter M. and Lea Michael J.,1989, “Mortgagezh_TW
dc.relation.reference (參考文獻) Borrower Repayment Behavior: A Microeconomicszh_TW
dc.relation.reference (參考文獻) Analysis with Canadian Adjustable Rate Mortgage Data”,zh_TW
dc.relation.reference (參考文獻) AREUEA Journal ,Vol.17, No.1, pp.118-136.zh_TW