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Showing 1 to 20 of 20 for “"Credit score"”.
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ImpactScore: A Novel Credit Score for Social Impact
… This paper proposes the application of credit scoring mechanisms not only to the likelihood of default but also to the likelihood of happiness. Using the existing data on microcredit loan applicants in Bosnia and Herzegovina, we construct a full credit scoring model that involves the …
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Using Supervised Learning Methods to Credit Score Informal Merchants
… to address this issue by developing data-driven credit scoring models for informal merchants using supervised learning methods. The study uses data collected from Nomanini, a financial technology company that facilitates loans to informal merchants in Lesotho. The objective of the study is to …
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The Competing Risks of Prepayment and Default on the Single-Family Mortgage Market
… risk. Because of the ambiguous effect of the credit score on the prepayment decision discussed in the previous literature, two estimations to explain the effect of the credit score on the prepayment and default are run. One estimation considers how the credit score affects both termination …
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Financial coaching : bridging the gap between financial knowledge and financial behavior
… investigated whether participants improved their credit scores after participating in a financial coaching program. Four hypotheses were examined: (1) Financial coaching improves the credit scores of its participants. (2) Financial coaching has a greater impact on improving credit scores for women …
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Tornado in Credit Desert: Role of Consumer Credit Access in Disaster Recovery
I study the effect of credit access restrictions on post-disaster financial outcomes of subprime consumers in Arkansas, a state with the lowest usury cap of 17 percent. Due to the restrictive cap, neither payday nor consumer finance companies operate in Arkansas, while they do in all six …
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FinTech mortgage lenders solving or exploiting a friction? evidence on risk layering and prepayment risk of conforming loans
… an increasingly important source of mortgage credit in the US. Using loan-level data on mortgages sold to Fannie Mae and Freddie Mac (GSEs), I find that compared to traditional lenders, Fintech lenders are more likely to address credit demand from low credit score borrowers. However, they may …
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Applications of machine learning : consumer credit risk analysis
Current credit bureau analytics, such as credit scores, are based on slowly varying consumer characteristics, and thus, they are not adaptable to changes in customers behaviors and market conditions over time. In this paper, we would like to apply machine-learning techniques to construct …
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Improved Peer-to-Peer Lending Credit Scoring Mechanism using Machine Learning Techniques
… lenders and borrowers. Assessing borrower’s creditworthiness is important because many P2P loans are not secured by collateral. Banks use credit scoring to evaluate borrower’s creditworthiness and reduce potential loan default risk. However, in P2P lending platform effective credit scoring …
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Farm Financing Strategy and the Lending Policy From Financial Institutions
… for both farmers and lenders in the agricultural credit relationships. Based on the forecasted net equity, credit score and the default rate, the simulation results demonstrate that farm businesses can expand at a faster speed with a relatively high financial safety when they jointly employ the …
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An Examination of the Effectiveness of Community-Based Organizations in Helping Low-Income Individuals Improve Their Use of Credit and Credit Scores as Part of a Wealth-Building Strategy
… can help low-income individuals improve their credit usage and credit scores as part of a strategy to help them build their wealth. Credit histories and scores influence access to affordable loans and other forms of credit as well as employment and housing opportunities, insurance rates, and …
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Essays on Peer to Peer Lending
… framing reinforces the positive impact of credit ratings on funding outcomes. Using a Heckman two stage model, we find that the use of positively framed messages is positively associated with positive funding outcomes. Besides, positive message framing enhances the positive impact of the …
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An AI-driven loan brokerage platform: integrating socio-economic factors, consumer financial behaviour, and multi-criteria decision analysis for responsible lending.
… rely heavily on manual review or simplified credit scoring mechanisms that primarily evaluate applicants based on income, liabilities, and historical repayment records. Although these methods are widely adopted, they are often time-consuming, error-prone, and limited in their ability to …
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Analysis and assessment of credit rating model in P2P lending : an instrument to solve information asymmetry between lenders and borrowers
… the market share of traditional consumer credit. In 2014, Lending Club and Prosper originated over 7 billion personal loans. As one of the biggest traditional banks in the U.S., Citi issued 25.2 billion USD in 2014. Given the advantages of P2P lending over traditional banks, the market for …
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Data Traceability via OTrace Concepts and Implementation
… financial services, such as to predict your credit score, to obtain customized budget recommendations, and to find out which specific loan is the best for them. These financial services often need financial information from the consumer, which is not always clear to the consumer. In other …
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Rental Housing Search and Occupancy Experiences of Veterans with Disabilities
… evaluation of different factors, such as one's credit score, housing costs in relation to income and employment status, space requirements, type of housing structure, quality preferences, and neighborhood preferences. The purpose of this study was to investigate and document the housing search …
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The Interaction of Policy, Credit Demand and Credit Supply in Banking System
… to observe the interaction among policy change, credit demand and credit supply. In my first paper, I focus on studying the impact of a new FASB accounting rule called Current Expected Credit Losses (CECL). This is a new FASB accounting standard in 2016 to modify the way how financial …
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Three Essays on the Analysis of Firms' Behaviors Under Staggered Treatment Adoption
… draws information from a micro-lender and a credit bureau to identify the causal effects of small loans on the financial health of a group of small U.S. business owners. To achieve this, we exploit temporal variations in the loan disbursements and use an estimation strategy that controls for …
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Essays in Financial Economics
… out basic financial transactions, for accessing credit, and even for saving. In this essay I examine the effects of opening a bank account, thereby gaining access to mainstream financial services, on financial behavior and "financial wellbeing". Despite significant policy efforts to "bank the …