Study On Financial Early-warning Systems Of Foreign Trade Enterprises

With the development of global economic integration, foreign trade enterprises play an increasingly important role in China's economic growth. However, in the fierce market competition, foreign trade enterprises not only have the risk which the general domestic trade enterprises have, but also bear all kinds of other international trade risk, such as greater credit risk, foreign exchange risk, tariff and non-tariff barriers and so on. How to detect and predict the financial risk of foreign trade enterprises has become an issue that must be solved. So analysis of financial risk and the establishment of the financial early-warning system have very important significance.This article includes six chapters. The first chapter introduces the background, significance and innovation points of the study. The second chapter gives some relevant definition and reviews the domestic and international corporate financial early-warning literature. The third chapter analyses all kinds of risk that foreign trade enterprises have and how they influence the corporate finance. The fourth chapter describes the basic principles and the advantages and disadvantages of the partical swarm optimization and BP artificial neural network. The fifth chapter establishes the financial early-warning model and uses the model to forecast. The accuracy rate is 83.33%. The sixth chapter summarizes the conclusion, limitations, and prospects of this study. The author believes that the analysis of financial risk and the establishment of the financial early-warning systems are useful for the development of foreign trade enterprises...