Objectives: At present, the domestic exchange rate system takes the market supply and demand as a benchmark, and then compares with other currencies to complete the exchange rate setting. This approach allows the RMB exchange rate to be more flexible and elastic. The RMB is controlled
through the market mechanism. However, for many cross-border electricity suppliers in China, if the exchange rate of RMB fluctuates widely, they will face the operational risks brought by exchange rate fluctuations. Methods: In recent years, due to the continuous appreciation of the
RMB, the cross-border e-commerce companies are under pressure. Results: BP neural network is an ideal processing tool to deal with the risk assessment of cross-border e-commerce caused by exchange rate changes, and it also has a very good future for practical application. Conclusion:
In this paper, the exchange rate risk of cross-border e-commerce companies in China was evaluated by BP neural network.
