Financial Transactions Risk Early Warning Applications Based On Complex Event Processing

Financial crisis in Asia shocked so many people in the world. As modern economic develops so rapidly, financial storm is more likely to happen nowadays. More national government and economic experts pay more attention to this phenomenon. For this purpose, many economists put forward many risk early warning models. And many of them need modern computer technology to implement.The article gives an overview to the financial risk early warning technology nowadays, analyzes the existing implement methods, and introduces the feature of them. And then, the article pays more attention to the new technology complex event processing (CEP), and gives it a full introduction. As it presents, the CEP technology has more merit on financial risk early warning. The article also compares the existing CEP products on performance, application, and some other fields.In the main part of this article, it studies one of the CEP engines in details. It found that there was no good data pretreatment in the system, so that the pressures on the implementation of pattern matching and searching were heavy. This shortcomings impact the system performance to a certain extent. As for that, it proposed a new algorithm to solve this problem. The new algorithm mainly includes inheriting existing class on stream cache module, adding pretreatment function, using existing interface to discard data which is not concerned by constructing NFA using depth-first search. It really reduces the system pressure at last. After that, a test on the existing financial transaction system has been given. The test result shows that the new algorithm really improves the performance and has active effect on the related research field.At last, the article gives a conclusion and look forward to the further work and related field.