Credit transfer protocols are being designed and implemented in market-based resource allocation infrastructures. The design details of these protocols determine the accesscontrol policies that can be expressed and the trading patterns that can be supported. A protocol that enables fine grained manipulation of ownership authorities can support a wider range of access policies and trading patter...

Many factors innuence the performance of a learned classiier. In this paper we study diier-ent methods of measuring performance based on a uniied set of cost models and the eeects of training class distribution with respect to these models. Observations from these eeects help us devise a distributed multi-classiier meta-learning approach to learn in domains with skewed class distributions, non-...

This study was inspired by the persistence and strength of character of striving entrepreneurs in rural communities who strive to establish or let grow of their businesses. The Second Vatican Council of the Catholic Church considered Basic Ecclesial Community (BEC) as a “New Way of Renewing the Church”, thus the researcher collaborates with Caritas Diocese of Libmanan (Inc.), the social action ...

The rise of online P2P lending, as a novel economic lending model, brings new opportunities and challenges for the research of credit risk evaluation. This paper aims to mine information from different data sources to improve the performance of credit risk evaluation models. Be-sides the personal financial and demographic data used in traditional models, the authors collect in-formation from (1...

Recent empirical work using panel data documents that, while the correlation of investment and Tobin’s Q is low, the correlation of investment and credit spreads is high. We propose an explanation for these empirical findings, based on time-varying risk, i.e. stochastic volatility. In our model, firms finance investments using defaultable debt as well as equity issuance, and they are subject to...

Credit Card Fraud is one of the biggest threats to business establishments today. This paper presents a cascade artificial neural network for the recognition of credit card fraud detection. This system aims at attaining a very high recognition rate and a very high reliability, In other words, excellent recognition performance of credit card fraud detection was obtained. Then, One solution was p...

We study a credit network and, in particular, an interbank system with an agent-based model. To understand the relationship between business cycles and cascades of bankruptcies, we model a three-sector economy with goods, credit and interbank market. In the interbank market, the participating banks share the risk of bad debits, which may potentially spread a bank's liquidity problems through th...

This paper examines whether financial development reduces the impact of credit constraints on the exporting decision using firm-level data across 17 developing countries. We approximate credit constraints by a firm’s liquidity ratio. In line with a Melitz-type model with borrowing frictions, the regression analysis confirms that the positive effect of a firm’s liquidity on the exporting probabi...

Using the industrial organization approach to the microeconomics of banking we model a large (Monti-Klein) bank which is risk neutral and faces credit uncertainty in its loan business. The impact of capital adequacy regulation and the effect of changes in risk on deposit and loan rates are analyzed. We then show that capital adequacy regulation induces the bank to behave as if it were risk aver...

The paper presents a model in which credit-constrained firms might delay the adoption of new and more productive technologies because of the very high external financing costs they face. Our point of departure is that the efficiency of the banking system can have a profound impact on real resource and investment allocation not only directly, by reducing the amount of resources channelled to the...