It is of a great importance for financial institutions to achieve business and IT alignment. It allows the business to focus on its core function and gives IT department an opportunity to concentrate on providing insights on how technology can help business in developing new capabilities. Achieving such alignment will require IT management and IT employees to possess sufficient business underst...

The new institutional Economics helps generalization and expansion of new classic by adding the institution theories to Economic. It is clear that the appropriate institution is among the factors that lead to success in Economic programs. If the institutional are appropriate, the society will save the source and when we make use of time to apply the program, there will be welfare and average re...

Sharia compliance is considered the basic component of Islamic financial industry as sharia permissibility one motive for majority customers Financial services. Presently assurance regarding institution given by Advisor or board respective institution. But there no process, similar to credit rating agencies, which provides public an independent assessment commitment different regard follow inju...

I study the role of credit ratings in crises by introducing a financial market in a coordination game with borrowers that must rollover their debts. The asset price aggregates dispersed private information acting as a public noisy signal. Credit rating agencies use this price to set their ratings. Moreover, agencies know that credit ratings influence lending decisions, thus affecting the credit...

The financial industry relies greatly on information technology (IT) because of its work with immaterial goods. Nowadays, most information collected by a financial institution is usually stored in a central data warehouse system. This central financial data warehouse (FDWH) is permanently under construction. Requirements from all over the bank have to be met by FDWH projects in an ongoing proce...

expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...