Risk Assessment and Control in Medical Investment,Merger,and Acquisition

The risk assessment and control of medical investment,merger,and acquisition are crucial topics within the medical industry,encompassing various aspects of investment,merger,and acquisition within this sector.The process primarily targets the unique nature and associated risks of the medical industry,focusing on effective risk management and control strategies to facilitate the smooth progression of investment,merger,and acquisition activities.

Study of evaluation method for the overseas oil and gas investment based on risk compensation

The overseas oil and gas investment evaluation is one of the core tasks in overseas investment of oil and gas companies,among which risk evaluation and benefit evaluation are the most important.This paper sets forth transmission paths of risk factors to the investment benefit by identifying 14 overseas oil and gas investment risks in four categories.On the basis of the concept of risk compensation,different compensation mechanisms specific to each risk are designed.The risk and benefit are integrated objectively to develop a comprehensive evaluation model by correcting the recoverable reserve,adjusting benefit evaluation parameters such as investments on exploration and development,and compensating for the changes in risk factors with time through dynamic discount rate.Moreover,two cases studies,namely the evaluations of Project A in Sudan and comparison among Blocks A–G,are used to describe usage method and applicable scope of such evaluation model,respectively.According to the results,oil price is a key influencing factor for enterprise internal risk and industrial risk.Risk compensation reduces comprehensive benefit of overseas oil and gas investment and undermines the investment feasibility and priority of blocks.The research findings of this paper are free from the effects of some subject factors and avoid multi-objective decision making,and also avoid the undesired repeated calculation of risk factors.

Investment risk of rural family education: From the persepective of educational cost and income

With the implementation of the policy of popularization of education, rural families make the choice of interests and behavior decisions through the calculation of their own benefits and costs, and gradually become the main body of rural education investment decisions. The relationship between educational cost and income plays a major role in the rural family education investment. Based on the current situation of rural education in our country, this paper focuses on the risk of rural education investment and rural education costs and benefits, and then puts forward scientific, operational measures and suggestions.

Systemic risk management and investment analysis with financial network analytics:research opportunities and challenges

Recent economic crises like the 2008 financial tsunami has demonstrated a critical need for better understanding of the topologies and various economic,social,and technical mechanisms of the increasingly interconnected global financial system.Such a system largely relies on the interconnectedness of various financial entities such as banks,firms,and investors through complex financial relationships such as interbank payment networks,investment relations,or supply chains.A network-based perspective or approach is needed to study various financial networks in order to improve or extend financial theories,as well as develop business applications.Moreover,with the advance of big data related technologies,and the availability of huge amounts of financial and economic network data,advanced computing technologies and data analytics that can comprehend such big data are also needed.We referred this approach as financial network analytics.We suggest that it will enable stakeholders better understand the network dynamics within the interconnected global financial system and help designing financial policies such as managing and monitoring banking systemic risk,as well as developing intelligent business applications like banking advisory systems.In this paper,we review the existing research about financial network analytics and then discuss its main research challenges from the economic,social,and technological perspectives.

Evaluation and Forecasting of Wind Energy Investment Risk along the Belt and Road Based on a Novel Hybrid Intelligent Model

The timely and effective investment risk assessment and forecasting are of great significance to ensure the investment safety and sustainable development of wind energy along the Belt and Road.In order to obtain the scientific and real-time forecasting result,this paper constructs a novel hybrid intelligent model based on improved cloud model combined with GRA-TOPSIS and MBA-WLSSVM.Firstly,the factors influencing investment risk of wind energy along the Belt and Road are identified fromthree dimensions:endogenous risk,exogenous risk and process risk.Through the fuzzy threshold method,the final input index system is selected.Secondly,the risk evaluation method based on improved cloud model andGRA-TOPSIS is proposed.Thirdly,a modern intelligent model based on MBA-WLSSVMis designed.In modified bat algorithm(MBA),tent chaotic map is utilized to improve the basic bat algorithm,while weighted least squares support vector machine(WLSSVM)adopts wavelet kernel function to replace the traditional radial basis function to complete the model improvement.Finally,an example is given to verify the scientificity and accuracy of themodel,which is helpful for investors tomake fast and effective investment risk forecasting of wind energy along the Belt and Road.The example analysis proves that the proposedmodel can provide reference and basis for investment corpus to formulate the investment strategy in wind energy along the Belt and Road.

Investment risk evaluation of existing building energy-saving renovation project for ESCO

The investment risk management of the existing building energy-saving renovation project for ESCO cannot be separated from the scientific risk measurement and evaluation. The investment risk assessment is the basis of investment decision and project implementation. Based on the content analysis and balance of evaluation principle of investment risk evaluation on the existing building energy-saving renovation project, we set up three levels of existing building energy-saving renovation project investment risk evaluation index system, use fuzzy comprehensive evaluation method to evaluate the quantitative process, get the scientific assessment of the investment risk of existing building energy-saving renovation project, and support the investment risk response strategy and control measures of existing building energy-saving renovation project for ESCO.

Risk assessment of transnational oil investment in Central Asia using a fuzzy comprehensive evaluation method

Central Asia(including five countries:Kazakhstan,Kyrgyzstan,Turkmenistan,Uzbekistan,and Tajikistan)is rich in oil reserves and has become one of the most important target regions for global oil investment.The construction of the Silk Road Economic Belt has prompted Central Asia to look outwards for more collaborations in the oil industry.China's need for oil investment in Central Asia has also increased significantly.This research established a comprehensive index system for assessing the risks of transnational oil investment in Central Asia.The system incorporated political,regulatory,economic,social,and infrastructural indices.Based on the Delphi method and fuzzy comprehension evaluation method,we qualitatively and quantitatively assessed and analyzed the risks of transnational oil investment in Central Asia.The results indicate that the risk score for regulatory risk was highest with the value of 6.1670,indicating a high risk level in transnational oil investment,followed by economic,social,political,and infrastructural risk indices.Of the 18 secondary risk indices calculated,there were seven indices with the probability of high risk occurrence exceeded 30.0%and the descending order was as follows:establishment of mining rights;host country intervention in operations;taxing system;stability of regulations;war and turmoil;labor capital;and ethnic,cultural,and religious differences.These seven critical risks should be watched closely and avoided during transnational oil investment in Central Asia.This study provides a comprehensive understanding of the potential risks of investing oil in Central Asia.The findings demonstrate the causes of these risks and provide a scientific basis for reasonably avoiding oil investment risk and improving investment benefits for both host and investing countries.

Application of Portfolio Model in the Real Investment Transactions

This paper studies discrete investment portfolio model that the objective function is utility function. According to a hybrid branch-and-bound method based on Lagrangian relaxation and continuous relaxation, the paper analyzes the question using the real statistical data. The results indicate that discrete investment portfolio model really has its guidance in the actual investment.

Positive Study on the Risks of Investment

In this paper, an empirical research on the system risks of the Shenzhen Stock Market using capital asset pricing model is conducted. The typical composition stocks on Shenzhen Stock Market in 1998 are taken as samples. Some quantitative analysis results are got, which can measure the risk of stock market.

Asymptotics of discounted aggregate claims for renewal risk model with risky investment

Under the assumption that the claim size is subexponentially distributed and the insurance surplus is totally invested in risky asset, a simple asymptotic relation of tail probability of discounted aggregate claims for renewal risk model within finite horizon is obtained. The result extends the corresponding conclusions of related references.

Study on Positioning System of the Risk Early Warning for Enterprise Overseas Investment

From the perspective of internal and external environment analysis,we construct the risk identification index system for overseas investment enterprises.Combined with the theory of comprehensive evaluation and risk early warning,the risk location system of overseas investment is established.The risk intelligence decision model is constructed by rough set theory,and the risk identification,risk location and risk decision of overseas investment are studied,and are empirically analyzed with cases in overseas investment.

Research on the Impact of Venture Risk Tolerance on R&D investments:Based on Entrepreneur Ability

How do start-ups enhance risk tolerance and core competition through product,technology,and service development?What is the relationship between the core competitiveness of start-ups and R&D investments?Based on the perspective of entrepreneurial ability,222 questionnaires were used to study the factors affecting the risk tolerance of start-ups and analyze the effect of risk tolerance on R&D investments.The research shows that the interactions of entrepreneur ability and start-up funds have a positive effect on the risk tolerance of start-ups,and the risk tolerance can positively promote R&D investment willingness and intensity for new products,technologies,and services.Also,R&D investment willingness plays a partial intermediary role between the risk tolerance of start-ups and the intensity of R&D investments.

Overcoming Investment Risks Chinese investors need to thoroughly understand local conditions before investing in Africa

With abundant labor resources and the increase in policy sup port for economie development and loreign investment, Africa is becoming a new sought-after destination for investment by multinational companics.

A Comparative Analysis of Amazon,Microsoft,and Apple’s Stock Investment Value

This paper provides a comparative analysis of the stock investment value of Amazon,Microsoft,and Apple,three global companies that investors may consider when investing in stocks.The author analyzes each company’s business diversity,financial situation,and industry competition.Amazon is a leading e-commerce company with strong domestic and international competitors in the field of e-commerce and cloud computing.Microsoft is a stable company with a dominant position in the personal computer operating system market and a growing market share in the field of cloud computing.Apple has a diverse product line,including hardware and software products,and faces competition from many competitors,but maintains its competitiveness in the market by investing in technological innovation.The paper concludes that the stock market is full of opportunities and challenges.And investors need to have a certain risk awareness and long-term investment vision.The analysis provided in this paper can help different investors select stocks that suit their preferences and investment objectives.The paper uses data from Yahoo Finance and company websites to provide an overview of each company’s performance,net sales,and stock prices compare the calculation results,and then select the stocks that investors with different preferences prefer.

CASH SUBADDITIVE RISK MEASURES FOR PORTFOLIO VECTORS

In this paper, from the viewpoint of the time value of money, we study the risk measures for portfolio vectors with discount factor. Cash subadditive risk measures for portfolio vectors are proposed. Representation results are given by two different methods which are convex analysis and enlarging space. Especially, the method of convex analysis make the line of reasoning and the representation result be simpler. Meanwhile, spot and forward risk measures for portfolio vectors are also introduced, and the relationships between them are investigated.

An improved portfolio optimization model for oil and gas investment selection

For oil company decision-makers,the principal concern is how to allocate their limited resources into the most valuable opportunities.Recently a new management philosophy,＂Beyond NPV＂,has received more and more international attention.Economists and senior executives are seeking effective alternative analysis approaches for traditional technical and economic evaluation methods.The improved portfolio optimization model presented in this article represents an applicable technique beyond NPV for doing capital budgeting.In this proposed model,not only can oil company executives achieve trade-offs between returns and risks to their risk tolerance,but they can also employ an ＂operational premium＂ to distinguish their ability to improve the performance of the underlying projects.A simulation study based on 19 overseas upstream assets owned by a large oil company in China is conducted to compare optimized utility with non-optimized utility.The simulation results show that the petroleum optimization model including ＂operational premium＂ is more in line with the rational investors＇ demand.

Investment Risks of Agricultural Listed Companies from Visual Angle of Natural Disasters

The essential feature of agriculture is the interweave- ment of natural reproduction and economic reproduction.In recent years,the natural disasters have become more frequent and badly affect the production management and investment benefits.This problem has been an important risk in managing agricultural listed companies and cannot be ignored.It is of great importance to evaluate and prevent the risks of the natural disasters to enhance the competitive ability and increase the profits of those listed companies,thereby keeping the sustainable development of agri- cultural companies.

Establishment and optimization of project investment risk income models on the basis of probability χ distribution

In this paper, two kinds of models are presented and optimized for project investment risk income on the basis of probability χ distribution. One kind of model being proved has only a maximal value and another kind being proved has no extreme values.

Ratio K: a New Way of Metering and Evaluating the Risk and Return of Stock Investment

Although widely used, both the Markowitz model and VAR (Value at Risk) model have some limitations in evaluating the risk and return of stock investnent.By the analysis of the conceptions of risk and return,together with the three hypotheses of technological analysis, a novelty model of metering and evaluating the risk and return of stock investnent is established.The major indicator of this model , risk-return ratio K, combines the characteristic indicators of risk and return. Regardless of the form of the risk-return probability density functions, this indicator K can always reflect the risk-return performances of the invested stocks clearly and accurately. How to use the model to make optimum investment and how to make portfolio combined with clustering analysis is also explained.