Spatial and temporal evolution patterns and spatial spillover effects of carbon emissions in China in the context of digital economy

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123811 - 123811

Published: Dec. 24, 2024

Language: Английский

A study on automated improvement of securities trading strategies using machine learning optimization algorithms

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Automation in securities trading offers advantages over human subjective trading, such as immunity to emotional factors, high efficiency, and the ability monitor multiple stocks simultaneously, making it a cutting-edge development path industry. In this paper, we first apply concept of time-frequency decomposition, gradually moving from first-order moments prices higher-order moments. We then combine with EMD decomposition method analyze price sequence extract characteristics fluctuations. Finally, use differential long- short-term memory network construct an automatic optimization system. compare system’s performance traditional technical analysis indexes, well annualized returns PPO A2C models on various securities, verify its under unilateral rising, oscillating plummeting quotes. conducted live test 1000 GEM stocks. The system paper outperforms all indicators, average return 71.85% at lowest 127.27% highest among 5 demonstrating excellent performance. three quotes Ningde Times, Aier Dental, Goldfish that are rising one way, falling time, again, paper’s 77.13%, 67.16%, 12.66%, which higher than those models.

Language: Английский

An Empirical Investigation into the Effects of the Digital Economy on Regional Integration: Evidence from Urban Agglomeration in China

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7760 - 7760

Published: Sept. 6, 2024

Based on the urban panel data of Beijing-Tianjin-Hebei from 2009 to 2021, this article constructs an indicator system for development level digital economy and regional integration, evaluates impact integration levels different types cities. The study found that (1) significantly promotes Beijing, Tianjin, Hebei. divides into two categories: large cities small medium-sized Large have effects relationship between level. (2) From analysis dimensions economy, network infrastructure improvements, industrial digitization, society can all promote integration. However, contents promotional (3) results mechanism analysis, it be seen optimization allocation human capital elements, increase in patent innovation, reduction transaction costs will help enhance driving force Among them, innovative impacts cities’ levels. promotion effect is more significant, are mainly affected by reduced optimized factors. This further expands development. It provides a in-depth use achieve coordinated regions with excessive economic technological differences through heterogeneity research.

Language: Английский