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 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.

The Analysis and Assessment of the Creation Investment Risk in the High and New Technology, Enterprise

The creation risk investmentof the high and new technology enterprise isthe way to finance：and invest for the business period. After we putting the capital into the high and new. technology project.that is in the devetopment stage, the enterprise can, acquire high, increase, by the. support and assistance ＇of, the. capital and management. After the enterprise grew up, it can achieve high benefits by selling stock, attorning the enterprise, and dealing property rights, etc. Finally it secedes form the enterprise invested. The purpose of total analysis in the respective stage for the business investment cause including cause prosperities, object, risk, is to comprehensively understand the effect on the anticipation ratio of the benefit, investment distribution, the stock property proportion which is offered by the activity content, and the emphasis of the assessment in the respective stages of the creation risk investment cause.

Assessment of Investment Risk in Greek Short Sea Shipping： A Ro-Ro Passenger Ferry Case

The purpose of this paper is to introduce an innovative methodology in shipping investment evaluation based on simulation of a project cash flow. It concerns a complementary approach to current practices and its aim is to provide more information mainly to ship-owners that consider the feasibility of deploying Ro-Ro Passenger ferries. The paper examines a typical semi-conventional RoPax ferry operating in the Aegean Sea. It addresses important economic, operational and procedural issues concerning risk evaluation. The current status is that risk is a notion still strange to main stakeholders. The Greek practice in performing a feasibility study for a project draws on investor＇s experience and feeling aided by a preliminary economic study. The main thesis of this paper is that there are alternative techniques to evaluate investment risk and measure profitability of a project. A Monte Carlo simulation in collaboration with a typical Ro-Ro cash-flow model is implemented to reveal the extent of risk and provide a useful tool for the assessment of future investments in Greek Short Sea Shipping.

The Association Between Corporate Governance Mechanisms and Stock Investment Risk： Empirical Evidence From Thailand

This study examines the association between corporate governance mechanisms （i.e., internal corporate governance, ownership structure, and external corporate govemance） and stock investment risk （i.e., idiosyncratic risk, systematic risk, and total risk of non-financial listed firms in Thailand in 2007）. The multiple regression analysis is employed to test the hypotheses, and the results suggest that firms with higher market power have lower systematic risk. It implies that firms with higher market power can reduce the unavoidable risk when compared with firms that have lower market power. Firms with more media coverage will have higher systematic risk, which indicates that firms which publish more news will have higher unavoidable risk. This research may be the first to provide the evidence of the association between corporate govemance mechanisms and stock investment risk. Interestingly still, this study has utilized the data of Thailand, which is an emerging market economy with a capital market structure different from those of the developed market economies, and the results of this study are anticipated to be applicable to other similar studies in other emerging market economies.

Forecasting the Advertising investment Risk of Sporting Goods Based on Optimized Support Vector Machine

Forecasting The Advertising investment risk of Sporting goods is very important which can provide the decision support for top manager. In this paper, we presented an optimized support vector machine （OSVM） to predict Advertising investment risk of Sporting goods. Experimental results show that the prediction accuracy improved by the proposed method.

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.

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.

Investment risk analysis of China's wind power industry based on pre-assessment matrix

Wind energy is a clean and sustainable energy, and wind power does not rely on fossil fuels. So there is no fuel price risk, and it, of course, does not include the environmental costs, such as carbon emissions. Because of these unique advantages, wind power has gradually become an important part of the strategy of sustainable development in China. Now with the growing voices on global greenhouse gas emission reduction, and as a clean and efficient energy, wind power has huge potential in combating climate change, energy security pressures and the needs for energy. Wind power in China began to develop from the 1980s. In the first 20 years, the speed of development was slow; but since 2004, it has had an extremely rapid growth.This paper, in order to study the development mechanism of China＆amp;amp;amp;#39;s wind power industry, investigated and analyzed the status quo of wind power industry in China, and then found that （1） the development trend of wind power industry in China appears exponential growth; （2） China＆amp;amp;amp;#39;s installed capacity of wind power is still smaller than that os some other countries; （3） new subsidy policies bring developing opportunities to wind power industry in China; （4） the sectors of wind power industry are in unbalanced growing; （5） the owners of proposed wind farms are too optimistic though the built wind farm had many problems. In addition, by using the methodology of Game Theory, this paper has also constructed the matrix of pre-assessing risks of China＆amp;amp;amp;#39;s wind power industry to further discuss the potential risk factors within China＆amp;amp;amp;#39;s wind power industry as risk factors of wind farm construction, risk factors of production of wind turbines, risk factors of parts and components manufacturing industry under risk indicators like R＆amp;amp;amp;amp;D, patents, the domestic policy, the international policy, the quality of products and the market regulation, in order to provide a scientific assessment and self-assessment tool for investors or implementers, and also to promote the further development of the wind power industry.

Risk Threats in a Creative Funding Scheme for Infrastructure Project in Indonesia： Cileunyi-Sumedang-Dawuan Toll Road Project Case

A creative solution to financial gap in Indonesian infrastructure development is the Public Private Partnership （PPP） scheme. One of the constraints in PPP implementation in toll road infrastructure is the lack of interest from the private sector, which are caused by the uncertainties defined as risks surrounding the project. This urges the importance of risk analysis on project investment to describe the measurement of risk allocated to the private sector. This paper aims at measuring the risks impacts on the project viability using Cileunyi-Sumedang-Dawuan （Cisumdawu） Toll Road section as the case and finding some creative way out. By employing Monte Carlo risk analysis technique we are able to measure the risk impact perceived by the private sector through probability distribution of the project NPV and IRR. Based on the result of Monte Carlo analysis on the Cisumdawu toll road, the overall risk impact perceived by the private sector is too much to bear. The risks considered as high-impact are risks on land acquisition, risks on construction, risks on toll revenue, risks on interest rates and disaster risks on post construction phase. The result shows the importance of decreasing the risk level on the mentioned risk that can be done through the increased participation of local government in managing the toll road projects. A creative solution again is needed to strike balance between the interest of private sector and that of public sector to deal with risks.

The Realization of a Strong Trade Power and China’s Direct Investment in SCO Countries

China’s path to becoming a strong trade power can be divided into three levels:the micro level of promoting factor cultivation,the meso level of achieving industrial dominance,and the macro level of participating in the establishment of the world system.As a feature of globalization,factor flow is the foundation and key to achieve the above three-level goals.In the first stage of reform and opening-up,China complied with the globalization characteristics of factor flow and gathered a large number of capital factors.It is now the second stage of reform and opening-up;that is,the stage of export-oriented investment.International investment may help in the path to become a strong trade power,or it may become an obstacle.The maximization of benefits and evasion of disadvantages are influenced by the grasp of investment risks.Therefore,special attention should be paid to identifying potential risks and controlling risks.

A Method for the Solution of Educational Investment

In order to improve the performance of higher education in the United States, the Goodgrant Foundation intends to donate a total of $100,000,000 (US 100 million) to an appropriate group of schools per year, for five years, starting in July 2016. For this, our team puts forward upon an optimal investment strategy, which includes the schools to invest, the investment amount of each school, and the return due to investment, to solve this problem. Our main idea is as follows. First of all, we choose suitable investment school universities in the United States. Secondly, we use Analytic Hierarchy Process to get the rate of return on investment and venture capital. Thirdly, we establish a venture capital return model. Finally, solving the mathematical model ensures the investment amount of each school and the return due to investment. To implement this strategy, first of all, we obtain the candidate school based on students score card. Then, according to the factor analysis, we analyze the factors which mainly affect the choice of school. Secondly, we employ Analytic Hierarchy Process to get the rate of return on investment and capital risk. In the end, we establish a risk return model to get investment amount for each school, amount of risk and return. In order to ensure the minimum risk and the maximum return, we set up a multi objective programming model and solve it by using the constraint method. We get the result that includes the maximum net profit of the investment and risk loss rate. According to statistical analysis, we can get the overall return of net income within five years. Finally, we choose 320 candidate schools and get the investment amount of each school according to the principle of as many schools as possible. We have proved that the foundation will receive a return of more than 295.363 million in the next 5 years. After-verification, our strategy can be directly applied to the investment field and get good results.

QFII in China Security Market： Status Quo and Investment Strategy

This paper firstly introduces the definition and features of QFII, and then mainly analyzes the QFII＇s portfolio performance and investment yield, as welt as stock market. And at last, it refers to the impacts of QFII＇s companies and supervision systems in China security market. the investment ideas and strategies of QFII in China investment styles and strategies on investors, listed

Government Investment in Disaster Risk Reduction Based on a Probabilistic Risk Model: A Case Study of Typhoon Disasters in Shenzhen, China

In recent years, cost-benefit analysis(CBA) has played an important role in disaster risk reduction(DRR)investment decisions, and now increasing attention is being paid to its application in developing countries. This article discusses government investment choices in DRR against typhoon disasters in Shenzhen, China. While the existing literature mainly focuses on disaster mitigation measures such as structural retrofitting, this study proposes a holistic framework of DRR investments in which structural(windproof retrofitting) and financial(insurance premium subsidies and post-disaster relief) are all taken into account.In particular, intermeasure spillover effects are measured and used in CBA. The results show that insurance premium subsidies yield the highest benefit-cost ratio and should be prioritized in investment. Windproof retrofitting comes in second place in terms of the benefit-cost ratio and can be considered when there is a sufficient budget. These results further confirm the need of a holistic review of government DRR investments to derive policy recommendations, while challenges remain in relation to the probabilistic modeling capacity to support CBA.