scholarly journals Age of Personal Credit Score

2020 ◽  
Vol 17 (6) ◽  
Author(s):  
Jianhua (Klyment) Huang
Keyword(s):  
Credit Score ◽  
Personal Credit

Decentralising Personal Credit Score

2022 ◽  
pp. 31-42
Author(s):  
Imbert Theadore ◽  
Paul Jek Sitoh
Keyword(s):  
Credit Score ◽  
Personal Credit ◽  
On Demand ◽  
Current Process ◽  
Credit Scores

The current process of securing a loan involves a cumbersome know-your-customer (KYC) process. The process also raises a question about the ownership of credit scores. In this chapter, the authors propose a solution based on a combination of decentralized identifier (DID) W3C blockchain and cryptographic wallet to make it possible to make credit scores possible. A decentralized identifier to enable a loan applicant to assert who he/she is without relying on a centralized identity issuer is key to enabling loan applicants to own his/her own credit score. The use of blockchain is to enable loan applicants to have his/her identity recorded immutably on a store that is trusted by all parties. Finally, the use of a cryptographic wallet is to enable loan applicants to assert identities on demand and prove his/her assertion.

scholarly journals Analysis of Credit Score in China’s E-commerce Market

2020 ◽  
Vol 218 ◽  
pp. 01028
Author(s):  
Xinyu Liu
Keyword(s):  
Credit System ◽  
Credit Score ◽  
Personal Credit ◽  
Online Platforms ◽  
Potential Relationship ◽  
The World

Ecommerce has become the mainstream all around the world. In China, multiple platforms occupy the market of ecommerce. These platforms have different strategies and focus on unalike customers. Most of them use personal credit score as a measurement to reduce the risk of fraud transactions, especially in some second-hand goods platforms. In this paper, the author uses survey to analyze the potential relationship between credit score and frauds, from both the consumer and seller’s sides. Then the author discusses some possible improvements which could be made to adjust the current using credit system used in the online platforms.

scholarly journals Neural mechanisms of credit card spending

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sachin Banker ◽  
Derek Dunfield ◽  
Alex Huang ◽  
Drazen Prelec
Keyword(s):  
Credit Card ◽  
Credit Cards ◽  
Purchase Behavior ◽  
Facilitation Effect ◽  
Product Price ◽  
Personal Credit ◽  
Psychological Mechanisms ◽  
Network Activation ◽  
Payment Instruments ◽  
Reward Network

AbstractCredit cards have often been blamed for consumer overspending and for the growth in household debt. Indeed, laboratory studies of purchase behavior have shown that credit cards can facilitate spending in ways that are difficult to justify on purely financial grounds. However, the psychological mechanisms behind this spending facilitation effect remain conjectural. A leading hypothesis is that credit cards reduce the pain of payment and so ‘release the brakes’ that hold expenditures in check. Alternatively, credit cards could provide a ‘step on the gas,’ increasing motivation to spend. Here we present the first evidence of differences in brain activation in the presence of real credit and cash purchase opportunities. In an fMRI shopping task, participants purchased items tailored to their interests, either by using a personal credit card or their own cash. Credit card purchases were associated with strong activation in the striatum, which coincided with onset of the credit card cue and was not related to product price. In contrast, reward network activation weakly predicted cash purchases, and only among relatively cheaper items. The presence of reward network activation differences highlights the potential neural impact of novel payment instruments in stimulating spending—these fundamental reward mechanisms could be exploited by new payment methods as we transition to a purely cashless society.

Credit Risk Management for College Students: An Analysis of Influencing Factors Based on 5C Approach

2021 ◽  
Vol 12 (1) ◽  
pp. 105-105
Author(s):  
Xiang Zou ◽  
Jinting Zhao ◽  
Yun Tong
Keyword(s):  
College Students ◽  
Risk Management ◽  
Credit Risk ◽  
Evaluation System ◽  
Least Squares Method ◽  
Credit Risk Management ◽  
Credit Evaluation ◽  
Personal Credit ◽  
Depth Analysis ◽  
Credit Evaluation System

This paper focuses on the construction of college students' credit evaluation system and credit risk management under the background of big data. Firstly, based on the 5C approach, this paper evaluates the personal credit of college students from 5 dimensions and 24 indicators, which finally contribute to the establishment of the credit evaluation system for college students. Then, the partial least squares method is used to build the structural equation model to evaluate the effectiveness of the credit evaluation system for college students. According to the in-depth analysis of PSL-SEM, the factors that affect the credit risk of college students are effectively evaluated, and it has contributed to the establishment and improvement of the credit system of college students. Keywords: Personal Credit, Credit Evaluation, Credit Risk, 5C Approach, PLS-SEM.

scholarly journals Savings Level Determinants and Sustainability of Commercial Banks in Rwanda: A Case of I&M Bank Rwanda

2022 ◽  
Vol 6 (1) ◽  
pp. 10-27
Author(s):  
Aimable Nshimiyimana ◽  
◽  
Eugenia Nkechi Irechukwu ◽  
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Financial Institution ◽  
Secondary Data ◽  
Income Level ◽  
Access To Credit ◽  
Credit Score ◽  
Descriptive Research ◽  
Specific Objective ◽  
Finance Department

The purpose of this study was to investigate the effect of savings level determinant on sustainability in I&M Rwanda. The specific objectives were to establish the effect of interest rate, income level and access to credit on the sustainability of I&M Bank. This study implemented a descriptive research design and utilized coefficient of correlation to assess the effect of each specific objective on the sustainability of the Bank. The population comprised of 12,057 including 12,050 customers and 7 staff of finance department of I&M Bank Rwanda. A sample size of 99 was calculated using Yamane (1967) simplified formula. To accomplish this aim, both primary and secondary data are used. The researcher used simple random and purposive sampling techniques. A questionnaire and interview have used to collect data. Quantitative data was obtained using questionnaire while a financial statement of I&M Bank covering 2016-2020 was used as secondary data. Descriptive and inferential statistical analysis showing mean, standard deviation, correlation and regression was used statistical Package for Social Sciences (SPSS) version 26.0 to analyze statistical information while content analysis used to analyze qualitative information. The findings and recommendations for this study addressed to the I & M Bank Rwanda, for decision-making and policies. The study found that interest rates, income level and access to credit have significant positive effect on sustainability of commercial banks in Rwanda at 78%, 90.5% and 92.9% respectively. The relationship among saving level determinants and sustainability of business bank was also determined to be linear with increase in get admission to credit score by means of clients. The researcher concluded that saving degree and get admission to credit volatility had more effect on sustainability of banks. The study endorsed that guideline to be installed vicinity to boom financial institution lending and ensure monitoring the same. Keywords: Savings Level Determinant, Sustainability, Commercial Banks, I&M Bank, Rwanda

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