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Fluctuant exchange rate has impact on global supply chain network equilibrium transactions. In this paper, by modeling various fluctuation trends of exchange rate, different exchange rate levels are used to characterize the advantageous or disadvantageous influence on transaction costs and risks between every pair of decision-makers, which is more practical for real-life global supply chain scenarios. Based on the idea of network integration, a global supply chain network equilibrium model with stochastic exchange rate volatility can be transformed into a supernetwork that integrates a supply chain transaction network with a currency network. With a two-stage prediction-correction method, we perform numerical simulation and sensitivity analysis to demonstrate the effectiveness of our equilibrium model.