The paper derives the optimal organizational response of a bank (the principal) which faces a risk of collusion between the credit manager (the agent) and the credit-seeking firms. The bank can deter collusion either through internal incentives or by distorting the credit contracts. The model thus explicitly takes into account the interaction between internal (collusion) risks and external (def...

Nowadays the customers prefer the most accepted payment mode via credit card for the convenient way of online shopping, paying bills in easiest way. At the same time the fraud transaction risks using credit card is a main problem which should be avoided. There are many data mining techniques available to avoid these risks effectively. In existing research they modelled the sequence of operation...

Default risk is one of the most important types of risks, and credit default swap (CDS) is one of the most effective financial instruments to cover such risks. The lack of these instruments may reduce investment attraction, particularly for international investors, and impose potential losses on the economy of the countries lacking such financial instruments, among them, Iran. After the 2007 fi...

Abstract. The recent financial crisis, responsible for massive accumulations of credit events, emphasizes the urgent need for adequate portfolio default models. Due to the high dimensionality of real credit portfolios, balancing flexibility and numerical tractability is of uttermost importance. To acknowledge this, a multivariate default model with interesting stylized properties is introduced ...

-------------------------------------------------------------------ABSTRACT---------------------------------------------------With the emergence of internet and e-commerce, the use of credit card is an unavoidable one. The credit cards are used for purchasing goods and services. We can make both online and offline payment easily with the help of credit cards. For online transaction it uses virt...

The aim of this paper is to use copulas functions to capture the different structures of dependency when we deal with portfolios of dependent credit risks and a basket of credit derivatives. We first present the wellknown result for the pricing of default risk, when there is only one defaultable firm. After that, we expose the structure of dependency with copulas in pricing dependent credit der...

A sophisticated approach for computing the total economic capital needed for various stochastically dependent risk types is the bottom-up approach. In this approach, usually, market and credit risks of financial instruments are modeled simultaneously. As integrating market risk factors into standard credit portfolio models increases the computational burden of calculating risk measures, it is a...

Recently, various ensemble learning methods with different base classifiers have been proposed for credit scoring problems. However, for various reasons, there has been little research using logistic regression as the base classifier. In this paper, given large unbalanced data, we consider the plausibility of ensemble learning using regularized logistic regression as the base classifier to deal...

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...