نتایج جستجو برای: credit amount received

تعداد نتایج: 567901  

Delavari, Vahid , Ghodsypour, Seyed Hassan , Salari, Meysam ,

  Banks as financial institutions must estimate the credit risk of their debtors. This is the basis of pricing a loan, determining appropriate interest rates and determining the mortgage required to each borrower. Since the continuity of bank activities largely depends on the amount of credit losses in a particular period, banks should consider the credit quality of their loan portfolio as a co...

2004
Alan Guth

EXTRA CREDIT: This problem set is not required, but can be turned in on the last day of classes or earlier, for up to three points of extra credit. The problem set includes 35 points of problems, which will be credited by muliplying your score by 3/35 and then increasing your final course grade by this amount. This extra credit assignment is an alternative to the extra credit paper that has alr...

2012
Chandra K. JAGGI Mona VERMA C. K. Jaggi

Trade credit financing has become a powerful tool to improve sales & profit in an industry. In general, a supplier/retailer frequently offers trade credit to its credit risk downstream member in order to stimulate their respective sales. This trade credit may either be full or partial depending upon the past profile of the downstream member. Partial trade credit may be offered by the supplier/r...

2010
Chandra K. Jaggi

Trade credit is an increasingly important payment behavior in real business transactions. To reduce nonpayment risks, a supplier/retailer frequently offers partial trade credit to its credit risk downstream member who must pay a portion of the purchase amount at the time of placing an order and then receives a permissible delay on the rest of the outstanding amount. This paper develops an EPQ m...

Journal: :JCSE 2011
Jung Eun Kim Yoohwan Kim

This paper introduces a new credit card payment scheme called No Number Credit Card that can significantly reduce the possibility of credit card fraud. The proposed payment system is loosely based on Kerberos, a cryptographic framework that has stood the test of time. In No Number Credit Card, instead of card numbers, only payment tokens are exchanged between the customers and merchants. The to...

2004
Satyajit Chatterjee Dean Corbae

This paper explores how consumption smoothing (via borrowing and lending) works when a person cannot commit to payback a loan. We study an environment where individuals are of two types, with one type having a higher propensity to default on debt obligations. Financial intermediaries cannot directly observe a person’s type but make probabilistic assessments of it based on the person’s credit hi...

2008
Ethan Cohen-Cole

This paper evaluates the presence of racial disparities in the issuance of consumer credit. Using a unique and proprietary database of credit histories from a major credit bureau, this paper links locationbased information on race with individual credit les. After controlling for the in uence of such other place-speci c factors as crime, housing vacancy rates, and general population demographic...

Journal: :Inquiry : a journal of medical care organization, provision and financing 2001
L Zelenak

This paper describes a new system of tax credits to help low-income workers pay for health insurance. The system would be designed to subsidize health insurance coverage for workers who are currently uninsured, or who pay high premiums for nongroup insurance. Anyone age 19 or older who is not covered by Medicaid, Medicare, or employer-sponsored health insurance would be eligible for a health in...

2015
Jonathan Crook Fernando Moreira

Article history: Received 12 July 2010 Received in revised form 5 May 2011 Accepted 12 May 2011 Available online 18 May 2011 Traditional credit risk models adopt the linear correlation as a measure of dependence and assume that credit losses are normally-distributed. However some studies have shown that credit losses are seldom normal and the linear correlation does not give accurate assessment...

2012
Anshul Singh Devesh Narayan

Credit card frauds are increasing day by day regardless of the various techniques developed for its detection. Fraudsters are so expert that they engender new ways for committing fraudulent transactions each day which demands constant innovation for its detection techniques as well. Many techniques based on Artificial Intelligence, Data mining, Fuzzy logic, Machine learning, Sequence Alignment,...

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