The credit risk research of consumer credit loan

碩士 === 國立中山大學 === 人力資源管理研究所 === 88 === Abstract According to a survey conducted by Rock (1984), the major factors of influenced credit risk are (1) the relationship with other creditor, (2) income, (3) loan-income ration, (4) profession, (5) immovable property, (6) check & deposit account. And,...

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Main Authors: Tsung-Hao Chen, 陳宗豪
Other Authors: 任金剛
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/72696047950490555281
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spelling ndltd-TW-088NSYS50070032016-07-08T04:22:56Z http://ndltd.ncl.edu.tw/handle/72696047950490555281 The credit risk research of consumer credit loan 消費者小額信用貸款之信用風險研究-甄選的觀點 Tsung-Hao Chen 陳宗豪 碩士 國立中山大學 人力資源管理研究所 88 Abstract According to a survey conducted by Rock (1984), the major factors of influenced credit risk are (1) the relationship with other creditor, (2) income, (3) loan-income ration, (4) profession, (5) immovable property, (6) check & deposit account. And, the sure way to score with lenders are (1) rules of thumb & subjective judgment, (2) credit rating system, (3) credit scoring system, and (4) expert system. The purpose of the present study is to examine the relationships between sex, age, income, profession, assets, the purpose of loan, employment information, credit references, credit limit, total installment loan account by the consumer, total number of inquiries and the consumer’s payment records. The results of this search indicate that: 1. The previous stereo type thinking of banking industry always treat the military officials as wall as police officials are risky groups to consumer credit loan. However, this study found the contrary result. The payment over due rate is comparatively lower than that of other customer groups. The conclusion is that military officials and police officials are potentially good customers to banking system in terms of profit margin against risk. 2. From the credit scoring system of banking industry. That the customers are between 35 to 50s should be better than those age between 20 to 30s. However, this study demonstrates the other direction that customers with age below 35years old always better than those who over 35years old to the banking creditability actual performance. 3. The banking industry assume the married people will be a better group compared with non-married group on the money collect of the loan they made. However this study proves that creditability performance in sequence is (i) age below 35 and singer is the best. (ii) those married is the second while.(iii)age over 35 and non- married group is the worst one. 4. Most of people think those who have consumer credit loan from bank and would not want their family to be aware of their personal loan may have higher chance of payment over due. However, the statistics study from bank branch A indicates that this kind of customers (don’t want family member know about loan) are the best group on payment over due (only 5.5%). While those who agree to let family member aware are the second (7.5%), and others with no comment are the worst. 任金剛 2000 學位論文 ; thesis 113 zh-TW
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description 碩士 === 國立中山大學 === 人力資源管理研究所 === 88 === Abstract According to a survey conducted by Rock (1984), the major factors of influenced credit risk are (1) the relationship with other creditor, (2) income, (3) loan-income ration, (4) profession, (5) immovable property, (6) check & deposit account. And, the sure way to score with lenders are (1) rules of thumb & subjective judgment, (2) credit rating system, (3) credit scoring system, and (4) expert system. The purpose of the present study is to examine the relationships between sex, age, income, profession, assets, the purpose of loan, employment information, credit references, credit limit, total installment loan account by the consumer, total number of inquiries and the consumer’s payment records. The results of this search indicate that: 1. The previous stereo type thinking of banking industry always treat the military officials as wall as police officials are risky groups to consumer credit loan. However, this study found the contrary result. The payment over due rate is comparatively lower than that of other customer groups. The conclusion is that military officials and police officials are potentially good customers to banking system in terms of profit margin against risk. 2. From the credit scoring system of banking industry. That the customers are between 35 to 50s should be better than those age between 20 to 30s. However, this study demonstrates the other direction that customers with age below 35years old always better than those who over 35years old to the banking creditability actual performance. 3. The banking industry assume the married people will be a better group compared with non-married group on the money collect of the loan they made. However this study proves that creditability performance in sequence is (i) age below 35 and singer is the best. (ii) those married is the second while.(iii)age over 35 and non- married group is the worst one. 4. Most of people think those who have consumer credit loan from bank and would not want their family to be aware of their personal loan may have higher chance of payment over due. However, the statistics study from bank branch A indicates that this kind of customers (don’t want family member know about loan) are the best group on payment over due (only 5.5%). While those who agree to let family member aware are the second (7.5%), and others with no comment are the worst.
author2 任金剛
author_facet 任金剛
Tsung-Hao Chen
陳宗豪
author Tsung-Hao Chen
陳宗豪
spellingShingle Tsung-Hao Chen
陳宗豪
The credit risk research of consumer credit loan
author_sort Tsung-Hao Chen
title The credit risk research of consumer credit loan
title_short The credit risk research of consumer credit loan
title_full The credit risk research of consumer credit loan
title_fullStr The credit risk research of consumer credit loan
title_full_unstemmed The credit risk research of consumer credit loan
title_sort credit risk research of consumer credit loan
publishDate 2000
url http://ndltd.ncl.edu.tw/handle/72696047950490555281
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