Simulation Research on Intelligent Investment Agent Monitoring and Management System Optimization Based on Artificial Intelligence

Objectives: How to construct an effective investment early warning model, scientifically and accurately predict China’s extreme financial risks, and thus formulate effective measures to deal with and prevent risks, has become an important issue urgently needed to be solved by financial risk management departments and investors. Based on multi-step factor analysis and artificial intelligence classification, two main intelligent investment models based on artificial intelligence are designed in this paper. Firstly, the principal component analysis method and multi-step factor extraction method are used to select the variables of 28 Financial Indicators of listed companies, and a multi-factor analysis investment model is constructed. Secondly, a smart single classifier based on factor analysis is designed. The experimental results show that combined with multi-step factor analysis has a better warning effect. The final research results show that the algorithm can guarantee the convergence performance and dispersion performance for different optimization problems, and has the advantages of stability and robustness, which embodies the application value of the algorithm.

Circular economic analysis for Sustainability

Overcoming the current development model, universally deemed unsustainable, requires, in the various Territorial Systems, the implementation of a strategy based on four components which are closely interconnected: Supporting sectors (research, training and communication); Business production and investment models; Household consumption and savings models and No profit Institutions decision-making models. Strategy which, based on policies acting symmetrically on the four components mentioned above, is capable of guiding and supporting the Society towards a growing balance between intra-generational and inter-generational equity. In the present paper, the authors have highlighted the centrality of the Territorial Capital for the achievement of a Sustainable Wellbeing; analyzed the path towards Agenda 2030, which has finally codified this centrality; presented a Circular Economic Model proposed to analyze the determinants of "circularity" of Well-being. Finally, the criteria are defined for an impact analysis of the new policies that are emerging at international, european and national level for building a sustainable future.

Innovative Investment Models with Frequent Payments of Tax on Income and of Interest on Debt

New modern investment models are created to be as close as possible to real investment conditions. We consider long-term as well as arbitrary duration models with payments of interest on debt and of tax on income a few times per year (semi-annually, quarterly and monthly), which could be applied in real economic practice. Their verification will lead to the creation of a comprehensive system of adequate and correct assessment of the effectiveness of the company’s investment program and its investment strategy. One of the most important elements of calculating the effectiveness of investment projects is the assessment of the discount rate, the calculation methods of which are generalized for the real conditions of the implementation of investment projects. We consider the effectiveness of the investment project from two points of view: the equity owners and the owners of equity and debt. NPV for each of these cases is calculated by two different methods: with the separation of credit and investment flows (and thus discounting the flows using two different rates) and without such separation (with discounting of both flows using the same rate, and WACC can be chosen as the rate). Numerical calculations, conducted for four investment models (without flow separation) show that: (1) in the case of considering the effectiveness of an investment project for owners of equity capital, the increase in the number of payments of tax on income and of interest on debt p leads to a decrease in NPV: this means that the effectiveness of an investment project decreases with p; (2) in the case of considering the effectiveness of an investment project for owners of equity and debt capital, the increase in the number of payments of tax on income and of interest on debt p leads to an increase in NPV: this means that the effectiveness of an investment project increases with p. In the former case, companies should pay tax on profit and interest on debt once per year, while in the latter case, more frequent payments are profitable for the effectiveness of investment. Eight innovative investment models created in this paper can assist decision-makers in the optimal design, planning and control of company investments and the development of a company’s investment strategy.

Incentivizing Irreversible Investment

Existing dynamic investment models that show that a manager can be incentivized to implement the optimal investment policy rely on the assumption that the firm is operating in an ever-expanding product market. This paper presents an analytically tractable, discrete-time, neoclassical model with irreversible investment and the possibility of unfavorable demand events. We show that even when the principal is uninformed about changes in demand for the firm's output, there exists a performance measurement system that leads to goal congruent investment incentives for the manager. If the principal can observe the unfavorable demand events, then goal congruence can be achieved using very simple accrual accounting rules, such as straight-line depreciation.

Management of Wind Power Variations in Electricity System Investment Models

Accounting for variability in generation and load and strategies to tackle variability cost-efficiently are key components of investment models for modern electricity systems. This work presents and evaluates the Hours-to-Decades (H2D) model, which builds upon a novel approach to account for strategies to manage variations in the electricity system covering several days, the variation management which is of particular relevance to wind power integration. The model discretizes the time dimension of the capacity expansion problem into 2-week segments, thereby exploiting the parallel processing capabilities of modern computers. Information between these segments is then exchanged in a consensus loop. The method is evaluated with regard to its ability to account for the impacts of strategies to manage variations in generation and load, regional resources and trade, and inter-annual linkages. Compared to a method with fully connected time, the proposed method provides solutions with an increase in total system cost of no more than 1.12%, while reducing memory requirements to 1/26’th of those of the original problem. For capacity expansion problems concerning two regions or more, it is found that the H2D model requires 1–2% of the calculation time relative to a model with fully connected time when solved on a computer with parallel processing capability.

Eco-technology park as a regional institution of waste management system

Subject. This article discusses the issues related to the creation of environmental technology parks in the waste management system. Objectives. The article aims to identify essential features of the environmental technology park as a regional development institution. Methods. For the study, we used general scientific cognition methods and the systems approach. Results. Based on an analysis of the specialization of Russian environmental technology parks, the article describes potential organizational and investment models of the activities of the park residents. Conclusions. The use of organizational and investment models of the residents' functioning combined with the participation of public partners will help make additional incentives for the development of environmental technology parks.

Investment Models for Enterprise Architecture (EA) and IT Architecture Projects within the Open Innovation Concept

Information technologies (IT) architecture and infrastructure is a significant cost item, especially for enterprises with complex production infrastructure and equipment that require automated and digital devices to collect and process primary data on technological and production processes. Most investment models for enterprise-wide development projects usually do not take into account the automation’s costs, including the design and implementation of information systems. The Enterprise Architecture (EA) paradigm has been proposed to bridge the gap between the business and the IT sector. The study aims to develop investment models for projects for the implementation and development of EA solutions, including IT architectures that eliminate the shortcomings of existing approaches. The research methodology is based on the analysis of published approaches to investment models for projects creating and developing EA, IT architectures with the identification of their advantages and limitations, and on the analysis of IT investment assessment practices in Russian infrastructure-intensive companies. As a result, investment and appraisal models are proposed that have advantages associated with the ability to calculate the effect of an integrated approach to the implementation of IT solutions, a more accurate calculation of an investment project cost by taking into account the IT system’s cost, a reduction in the investment cycle of development and implementation of architectural solutions, including physical and IT component.