This study reviews the impact of corporate social responsibility (CSR) and corporate governance on its credit rating. The result of regression analysis to credit ratings with relevant primary independent variables shows that both factors have significant effects on it. As we have predicted, the signs of both regression coefficients have a positive sign (+) proving that corporates with excellent...

We model the effects on banks of the introduction of a market for credit derivatives; in particular, credit-default swaps. A bank can use such swaps to temporarily transfer credit risks of their loans to others, reducing the likelihood that defaulting loans trigger the bank’s financial distress. Because credit derivatives are more flexible at transferring risks than are other, more established ...

microfinance, banking to the poor, is a recent global phenomenon introduced as a way for combating the poverty in the 1970’s. before that the poor were not allowed access to credit and loans due to the widespread belief that the poor could not repay loans. but microfinance movement with financial innovations reduced the costs and risks of lending to poor households, and presented as tool for re...

The Q-Credit Assignment (QCA) is a method, based on Q-learning, for allocating credit to rules in Classiier Systems with internal state. It is more powerful than other proposed methods, because it correctly evaluates shared rules, but it has a large computational cost, due to the Multi-Layer Perceptron (MLP) that stores the evaluation function. We present a method for reducing this cost by redu...

The introduction (and widespread use) of credit cards increases trading efficiency but, by also increasing the velocity of money, it causes massive inflation, in the absence of monetary intervention. If the monetary authority attempts to restore pre-credit card price levels by reducing the money supply, it will have to sacrifice all the efficiency gains. When there is default on credit cards, t...

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...

Encrypting Personally Identifiable Information (PII) in large databases has historically been difficult, because encrypting information typically implies expanding data and changing its format. Previous attempts to encrypt PII data like credit card numbers and Social Security Numbers without changing their format have used questionable cryptographic constructions. We examine the security model ...

While emerging economies have seen an explosion of social network site (SNS) adoption, these countries lack sophisticated credit scoring system or credit bureaus to predict creditworthiness of individuals. In this paper, we propose an SNS-based credit scoring method for micro loans using largescale observational data. We show empirical evidence that by incorporating social network metrics, we c...