The Risk Analysis on Mortgage Loan and Collateral of Life Insurance Companies-A case study in Kaohsiung-Pingtung Area

碩士 === 國立高雄第一科技大學 === 風險管理與保險所 === 90 === The Risk Analysis on Mortgage Loan and Collateral of Life Insurance Companies -A case study in Kaohsiung-Pingtung Area Student:Chi-Fu Lan Advisor:Dr.Min-Sun Horng Deparment of Risk Management and Insurance National Kaohsiung First University of Scie...

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Bibliographic Details
Main Authors: Chi-Fu Lan, 藍吉富
Other Authors: Min-Sun Horng
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/17197904138643309705
Description
Summary:碩士 === 國立高雄第一科技大學 === 風險管理與保險所 === 90 === The Risk Analysis on Mortgage Loan and Collateral of Life Insurance Companies -A case study in Kaohsiung-Pingtung Area Student:Chi-Fu Lan Advisor:Dr.Min-Sun Horng Deparment of Risk Management and Insurance National Kaohsiung First University of Science and Technology  ABSTRACT Under the regulation of insurance law , capital budget of Life insurance company is seriously limited. In such situation , mortgage become the major consideration of investment . For effecting capital using to broad loan market burden is the most important investment issue . On the other hand , low default ratio must be consider as well as broad loan market burden . This study use the loan & auction data from Kaohsiung and Pingtung areas which have higher default rate . This research focus on loan risk , collateral risk and the paying ability of borrower . Using logistic regression to find significant factors which influence the default. Those factors affecting loan collection rate and auction off rate would be also considered. Empirical study point out : 1、significant factors affecting default are loaning rate , loan ratio , the age of house , education . 2 、House type and area will influence loan collection rate . For area factor , loan collection rate in Pingtung is the most highest. For house type factor , loan collection rate in condominium is lower . 3、For area factor , auction off rate in Pingtung is the most lowest . For house type factor , auction off rate in town house is higher. KEYWORDS: default , loan collection rate , auction off rate, logistic regression , ANOVA , condominium , town house .