نتایج جستجو برای: certain and fair credit lending decisions
تعداد نتایج: 16864620 فیلتر نتایج به سال:
Theoretical studies have noted that loan applicants rejected by one bank can apply at another bank, systematically worsening the pool of applicants faced by all banks. This paper presents the first empirical evidence of this effect and explores some additional ramifications, including the role of common filters, such as commercially available credit scoring models, in mitigating this adverse se...
Online P2P lending marketplaces match individual lenders and borrowers for unsecured loans via real-time auction without financial institutions as an intermediary. This paper aims to build up a theoretical framework from the perspectives of informational social influence and herding behavior to explain how individual investors’ participation of online financial community influence their credit ...
We define predatory lending as a welfare-reducing provision of credit. Using a textbook model, we show that lenders profit if they can tempt households into “debt traps,” that is, overborrowing and delinquency. We then test whether payday lending fits our definition of predatory. We find that in states with higher payday loan limits, less educated households and households with uncertain income...
Even though banking itself has the principle of prudence in every activity, this will not close gap for corruption. The purpose study is to analyze principles bank lending prevent criminal acts corruption and prosecution consideration judges' sanctions giving decisions on lending. In study, there are three research approaches used, namely statutory approach, conceptual case approach. Data analy...
Banking is a specific industry that deals with capital and risk for making profit. Credit risk as the most important risk, is an active research domain in financial risk management studies. In this paper a hybrid model for credit risk assessment which applies ensemble learning for credit granting decisions is designed. Combining clustering and classification techniques resulted in system improv...
This paper explores how borrowers’ financial and personal information, loan characteristics and lending models affect peer-to-peer (P2P) loan funding outcomes. Using a large sample of listings from one of the largest Chinese online P2P lending platforms, we find that those borrowers earning a higher income or who own a car are more likely to receive a loan, pay lower interest rates, and are les...
Credit scoring is perceived as an important innovation for microfinance institutions in managing the credit risk of their clients. Increase in defaults has necessitated microfinance institutions to improve their credit analysis by incorporating objective procedures. Various studies have confirmed that credit scoring can increase efficiency and reduce costs for microfinance. However, the take up...
Without denying the importance of asymmetric information, this article purports the view that credit rationing may also originate from a lender’s inability to classify loan applications into proper risk categories. Although particularly prominent when novel technologies or novel institutional arrangements arise, lack of appropriate categories may affect any request of money lending, making cred...
Small and new businesses, widely credited as engines for job growth, have struggled during the recovery. One reason, say some analysts, is that bank lending to small businesses has declined steadily since the start of the recession. If, as many small businesses claim, the supply of credit from banks has contracted, then increasing the supply of small business loans may allow these businesses to...
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