Abstract
The problems of security and risk are the main obstacles for the development of electronic bank. Along with the gradual advance of modernization about bank business, based on the existing financial risk, the risk of information system is added and close to the business of electronic bank. The business of electronic bank differing with that of tradition bank is a combination of information technology and electronic commerce. Therefore, the risk of its business is related to the level of information technology, information systems and the conditions of hardware equipment. In this paper, genetic algorithm is introduced to optimize corresponding parameters of grey forecasting model and then the improved grey model can be used in early warning of the risk in the information system of bank. Qualitative and quantitative forecasting methods are combined with grey model to obtain predicted value of risk index of the bank’s information system. Finally, the result of experiment states that the proposed method is reliable and exact to promote the development of business in electronic bank in the future.
