Abstract
The change of international trade goods exchange rate transaction has an impact on economic operations and economic stability. Therefore, an international trade goods exchange rate transaction based on fuzzy granulation and in-depth learning is proposed. Based on fuzzy information granulation and BP neural network, this paper analyzes the interest rate evaluation theory. For the future expectation of currency exchange rate, portfolio equilibrium determines the proportional relationship of each component in the portfolio and analyzes the impact of asset price and exchange rate change according to this relationship. Then, it points out the risk evaluation index system, calculates the risk degree of exchange rate transaction of international trade goods, and then evaluates the risk of exchange rate transaction of international trade goods. It completes the research on exchange rate transactions of international trade goods based on fuzzy granulation and in-depth learning. The experimental results show that excessive exchange rate fluctuation will bring the same proportion fluctuation to the asset price in the financial market, and the coordination between exchange rates and the coordination of exchange rate and asset price can promote the steady growth of national economy.
Highlights
Exchange rate, known as foreign exchange rate, is the conversion ratio between one currency and another, usually in the form of currency pairs [1, 2]
The fluctuation of the exchange rate will directly affect the direction of import and export trade and affect macroeconomics, politics, and culture [4, 5]. ere are generally two types of practitioners participating in the foreign exchange market: first, foreign traders, practitioners of commodity trade of transnational entities [6], who exchange currencies or commodity entities according to exchange rates and, second, professional speculators, who are specialized in foreign exchange futures market transactions, and there is no exchange of commodities or currencies
In view of the immaturity of the capital market and the floating exchange rate system, this paper studies the relationship among asset price, exchange rate, and economic stability from the perspective of macrocapital and total labor demand, to determine its role in stable economic growth
Summary
Known as foreign exchange rate, is the conversion ratio between one currency and another, usually in the form of currency pairs [1, 2]. The fluctuation of the exchange rate will directly affect the direction of import and export trade and affect macroeconomics, politics, and culture [4, 5]. More and more attention has been paid to the exchange rate transactions of related international trade goods. Taking the transaction level evidence of Pakistan as an example, the study in [7] puts forward the impact of the exchange rate on agricultural exports, including the response of price and quantity differences. Erefore, an exchange rate transaction of international trade goods based on fuzzy granulation and deep learning is proposed. Fuzzy information granulation and deep learning are the results of whether the prediction of exchange rate fluctuation range is profitable. By combining fuzzy granulation and deep reliability network, the prediction of exchange rate fluctuation range is proposed
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