Decomposition based neural dynamics for portfolio management with tradeoffs of risks and profits under transaction costs.

Real-time online optimisation plays a crucial role in high-frequency trading (HFT) strategies. The Markowitz model, as a Nobel Prize-winning framework, is widely used for portfolio management optimisation by framing the problem as a constrained quadratic programming task. While conventional analytical methods are typically effective for solving quadratic programming problems with linear constraints, the introduction of both linear equality and inequality constraints in the Markowitz model necessitates the use of numerical methods.

Impact of online public opinion regarding the Japanese nuclear wastewater incident on stock market based on the SOR model.

The exposure of the Japanese nuclear wastewater incident has shaped online public opinion and has also caused a certain impact on stocks in aquaculture and feed industries. In order to explore the impact of network public opinion caused by public emergencies on relevant stocks, this paper uses the stimulus organism response(SOR) model to construct a framework model of the impact path of network public opinion on the financial stock market, and it uses emotional analysis, LDA and grounded theory methods to conduct empirical analysis. The study draws a new conclusion about the impact of online public opinion on the performance of relevant stocks in the context of the nuclear waste water incident in Japan.

Consumers' Channel Preference for Fresh Foods and Its Determinants during COVID-19-Evidence from China.

The public has been experiencing unprecedented challenges during the COVID-19 pandemic for the past two years. Government measures, such as improvements in offline markets and the encouragement of contactless e-commerce use, have been taken to abate the spread of infection. This study explored whether public channel preferences for fresh foods have changed and aimed to identify potential determinants.

Dual-objective modeling and optimization of a low-carbon waste-classified collection problem.

With improved quality of life, types of waste have become increasingly complex, and waste classification has become a global issue. As a result, the world is facing a waste-classified collection problem. However, the existing research on waste collection has paid little attention to waste classification.

Analysis of factors influencing public attention to masks during the COVID-19 epidemic-Data from Sina Weibo.

As we all know, vaccination still does not protect people from novel coronavirus infections, and wearing masks remains essential. Research on mask attention is helpful to understand the public's cognition and willingness to wear masks, but there are few studies on mask attention in the existing literature. The health belief model used to study disease prevention behaviors is rarely applied to the research on mask attention, and the research on health belief models basically entails the use of a questionnaire survey.

An improved optimization algorithm for a multi-depot vehicle routing problem considering carbon emissions.

In a multi-depot vehicle routing problem (MDVRP) of same-city delivery, driving distance and actual loading can greatly influence the amount of carbon emissions generated. This paper considers fuel and carbon emission costs as part of total costs, proposes a MDVRP with minimized logistics costs and driven distance, and then establishes a mixed integer programming model. An improved chemical reaction optimization algorithm is also designed by considering this problem's characteristics (i.

Competition among Supply Chains and Governmental Policy: Considering Consumers' Low-Carbon Preference.

Many manufacturers and retailers have cooperated for low-carbon production in various industries. This study examines the role of consumers' low-carbon preference in this cooperation. We construct four scenarios to investigate the effects of consumers' low-carbon preference on the market equilibrium of supply chains' product selection strategy.