Green finance is an effective means adopted by the Chinese government to reduce carbon emissions. Does the development of green finance in Chinese provinces reduce carbon emissions to a certain extent? This study selects panel data of various provinces and cities in China from 2003 to 2019. Based on the Hansen threshold regression model, an empirical analysis is conducted with economic growth and industrial structure as threshold variables to test the impact of green finance on carbon emissions. The results show that green finance increases the speed of carbon emission mitigation when PGDP is the threshold. Taking industrial structure as the threshold, the impact of green finance development on carbon emissions presents an inverted N shape. At the same time, it is found that green finance has become an important means to reduce carbon emissions in the eastern region, the impact of green finance on carbon emissions in the central region presents an inverted U shape, and the driving force of green finance on carbon emission reduction in the western region is weak. Furthermore, it is pointed out that improving the quality of green finance and enhancing the level of green finance empowered by science and technology are the keys to realizing sustainable green development.

Coordinating and managing the contradictions among the environment, resources and economy is an urgent problem in China. Based on the panel data of 30 provinces and cities in China from 2004 to 2017, this paper empirically studies the impact of environmental regulation on China's high-quality economic development and the mediating effect mechanism through the spatial Durbin model and threshold model. The results show that China's high-quality economic development shows a fluctuating upward trend, and the east is higher than the middle and west. Environmental regulation significantly inhibits high-quality economic development, but its impact is moderated by accelerating industrial upgrading, promoting technological innovation, and enhancing foreign direct investment. As the primary driving force, technological innovation has a significant spatial spillover effect. The results show that industrial upgrading has no threshold effect, and technological innovation and foreign direct investment have the characteristics of a ‘U’ single threshold.

The fractal characteristics of the security market were considered in portfolio strategy optimization. First, the detrended cross-correlation analysis was adopted to measure the fractal correlation of different securities. Second, the fractal correlation was embedded into the mean-variance criterion of the modern portfolio theory. Third, the mean-detrended cross-correlation analysis portfolio strategy of multiple risk assets was constructed, and the analytic solution of the strategy was given. Finally, the evaluation results revealed that the constructed the mean-detrended cross-correlation analysis portfolio strategy clearly improved investment performance, thus achieving the goal of optimizing the multiple risk asset portfolio strategy.

Currency shocks and the stability of the global financial system play crucial roles in international trade and investment. However, there is a lack of literature that analyses these relationships, particularly in newly industrialized Asian countries. This study fills this gap by focusing on Thailand, India, and China. Employing the exchange rate (ER) and the OFR financial stress index (FSI), we conduct a comprehensive analysis. Our results show distinct relationships among these variables. In Thailand, the ER has a long-term impact on the FSI, accompanied by positive feedback between shocks. In India, the ER is highly sensitive to the FSI, with the FSI consistently triggering negative ER shocks. In China, the ER affects the FSI only in the short run, and this impact may be negatively correlated. Additionally, increased financial stress may also increase the Chinese ER on average. These findings not only reveal the diverse economic development patterns in newly industrialized countries but also offer valuable insights for policy-makers to formulate more targeted economic policies.