Autor:	Jen-Yao Lee, 李仁耀
Rok vydání:	2009
Druh dokumentu:	學位論文 ; thesis
Popis:	97 This research utilizes the Logistic Regression Model. Also, in this research, the influential factors which affect the willingnesss of people working in the high-tech industry to pay ahead of time are investigated and illustrated. The findings are as follows: approved interest rate, approved loan amount, loan term, penality income, and the district of collateral are significantly positively correlated with prepayment behavior, while annual income, occupation, debt ratio, the purpose of collateral, the year of house, and guarantor are significantly negatively correlated with prepayment behavior.
Databáze:	Networked Digital Library of Theses & Dissertations
Externí odkaz:	http://ndltd.ncl.edu.tw/handle/45839394823965605351 Zobrazit plný text záznamu