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Sustainable development and socioeconomic growth are balanced through green economic recovery post pandemic. To statistically examine the coordinated development of green economic growth, foreign direct investment, stock market return and financial development, this paper constructs a complete indicator system for green economic recovery and financial development, by using a VAR model for the BRICS over the period of 2000–2020. Our results demonstrate that FDI significantly improves environmental quality by lowering pollution levels and improve the green economic growth in the region (BRICS). Stock market also has a significant positive effect on green economic growth. On the other side, FDI has a significant detrimental effect on financial development. Finally, financial development has a considerable detrimental impact on environmental deterioration. Our analysis recommends that besides the initiatives in financial growth, FDI and stock market be given priority in order to improve sustainable development.

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With the rapid development of our economy, the market of economic exchange rates between our country and other countries has also fluctuated. This paper analyzes the volatility of exchange rates among members of the Shanghai Cooperation Organization. The result shows that the economic volatility and exchange rate volatility among its members have strengthened gradually, and the courseware Shanghai Cooperation Organization has been developing steadily.

In order to explore the relationship between exchange rate fluctuations and oil prices, this paper combines the copula function to study the correlation between exchange rate fluctuations and oil price changes, conducts a more comprehensive study of the copula function, and applies the algorithm to some practical classification problems. Moreover, this paper improves some defects in the algorithm and combines some new learning frameworks in machine learning to generalize the copula function to a variety of learning models. In addition, this paper studies how to use the coverage algorithm to construct classifiers under various problems and proposes corresponding improvement strategies according to the characteristics of various problems. Finally, this paper builds a correlation analysis algorithm model and uses simulation research to verify that there is a relatively obvious correlation between exchange rate fluctuations and oil price changes.