Research On The Foreign Exchange Risk Control And Prevention Of DLCB Company

China has ranked one of the world’s largest shipbuilding countries after decades of efforts. Shipbuilding enterprises concerning foreign affairs in China are increasingly exposing under the foreign exchange risk along with the reform of RMB exchange rate regime in recent years. Shipbuilding enterprises have to take effective measures to foreign exchange risk, strengthen the control and prevention of the exchange rate risk, especially under the situation where the current economic situation is not optimistic, an important issue placing in front of shipbuilding enterprises concerning foreign affairs is to avoid exchange rate risk, reduce exchange rate losses, enhance the international competitiveness of the shipbuilding enterprises, effectively control and prevent exchange rate risk, and tide the financial crisis over.This paper deeply analyzes the environment, type and performance of foreign exchange risk which DLCB the large-scale shipbuilding enterprise faces according to the basic theory of foreign exchange risk. Based on the above, given comprehensive consideration to both subjective and objective factors that influence the evaluation of the foreign exchange risk of DLCB, the three-level index system of foreign exchange risk prevention and control ability is established, and the back propagation neural network mode and the compensation software Clementine are introduced. Under the experts’evaluation, the paper calculates and analyzes the foreign exchange risk prevention and control ability of DLCB by the usage of statistical data, and then states that the exchange foreign risk prevention and control ability of DLCB have been greatly improved after the financial crisis by comparing the actual condition. At last, according to the result of basic theoretical analysis and the empirical analysis, the paper gives concrete suggestions to DLCB to improve the foreign exchange rate prevention and control ability from the three aspects of trade financial management and financial tools.This paper is innovative in making full use of the learning ability and forecast ability of the back propagation neural network mode and conducting quantitative evaluation of the comprehensive foreign exchange risk prevention and control ability of a certain company by Clementine, and proving the effectiveness of the paper’s analytical framework, model specification and calculation measures.The primary contents of this paper are:Chapter one mainly introduces the topic background and significance of this article, gives a brief review to the research on at home and abroad foreign exchange risk management, and illustrates the main contents and research methods. Chapter two mainly focuses on the relevant knowledge of foreign exchange risk management, and elaborates the meaning, classification and prevention measures of the foreign exchange risk. Chapter three analyzes the domestic foreign exchange management policy environment where DLCB Company exists, introduces relevant domestic foreign exchange management policy, and elaborates the impact of these policies to foreign-related enterprises. This chapter also introduces foreign exchange risk prevention and control measures which DLCB takes the ensuing effects. Chapter four is the key part of this article, which on the usage of back propagation neural network modes and Clementine, conducts empirical analysis to the foreign exchange risk prevention and control measures of DLCB. Chapter five gives DLCB suggestion for its foreign exchange risk prevention in the future.