Bank Of Xbrl-based Information Approval System Design

With the expansion of China's securities market and more openness to the financial sector, investors are keeping a much closer key on the financial & operation status of the listed companies, and showing an increasingly high requirement for public information disclosure by securities and fund companies as well. Bank of Communications, as the trustee of fund companies, plays a regulatory role in reviewing the data disclosed by the aforesaid companies during the information disclosure. But previously, the collection of disclosed information of fund companies were mainly carried out by ways of Word or PDF documents, which resulted in a complicated process of data collection and low consistency & accuracy of data, as well as readability of source data in the approval documents. Moreover, it also led to a verbose verification procedures over the submitted data and net asset value in the bank database, which asked for lots of manual intervention. In this way, the processing cost is high and the efficiency of receiving, reviewing and approving data is relatively low.Firstly the development and application of XBRL technology in domestic fund custody and regulatory industry, and the necessity of designing a set of effective information examination on XBRL are discussed. Based on this, the main functions of the system and the analysis of the processes including packets parsing, data processing of information, data auditing and data submitted with a electronic signature are also discussed. Furthermore, the analysis of the framework of system, design of the system with Spring-MVC mode, detailed design of the XBRL foundation processing subsystem, simple check processing subsystem, data exchanging subsystem and electronic signature subsystem are covered as well in this paper. Thereinto, the analysis of information example documents and extraction of business metadata through XBRL 2.1 standardization, and the design contents of the exchange between the aforesaid metadata and net value of bank central data are discussed in detail. Finally, the scalability and implementation effects of the system are analyzed.