Risk Assessment Method of Direct Investment in SCO Countries Based on Particle Swarm Algorithm

Abstract

In order to control the risk of direct investment in SCO (Shanghai Cooperation Organization) countries, a risk assessment method for direct investment in SCO countries based on particle swarm algorithm is proposed. The Shanghai Cooperation Organization (SCO) is an organization devoted to solving various security problems in the Eurasian region and promoting trade development and cultural exchanges among the six countries. Analyze the investment structure of SCO member states according to their national and industrial structures. The weight value of each index of risk assessment is obtained by using the judgment matrix. Combined with the consistency test, the weight of the risk assessment indicators of SCO countries' direct investment is calculated. Particle swarm optimization is used to search the optimal solution of the risk evaluation index of direct investment. According to the corresponding relationship between investment composition and main risk factors, the risk evaluation system of SCO countries' direct investment is constructed. Through the risk evaluation algorithm, the risk evaluation of SCO countries' direct investment is realized.