scholarly journals Project Portfolio Selection of Solar Energy by Photovoltaic Generation Using Gini-CAPM Multi-Criteria and Considering ROI Covariations

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8374
Author(s):  
José Claudio Isaias ◽  
Pedro Paulo Balestrassi ◽  
Guilherme Augusto Barucke Marcondes ◽  
Wesley Vieira da Silva ◽  
Carlos Henrique Pereira Mello ◽  
...  
Keyword(s):  
Solar Energy ◽  
Return On Investment ◽  
Current Knowledge ◽  
Probability Distributions ◽  
Significant Advance ◽  
Capital Asset Pricing ◽  
Small Companies ◽  
Normal Probability ◽  
Investment Portfolios ◽  
Selection Of

For some time, renewable solar energy generations using cellular photovoltaic panels have stood out among the options, especially in the segment of micro and small companies, where the return on investment is usually higher. In this context, when micro and small companies do not have the capital for the enterprises, several others, mainly small ones, have emerged to finance. However, significant difficulties occur for financiers in selecting investment portfolios, especially when considering the trade-off between return and risk and the covariations of return on investment, which are very common. In this type of selection, the Capital Asset Pricing Model criteria using the Gini risk can help significantly because this one is a more robust risk coefficient for assessments of non-normal probability distributions. However, searches for methods that meet the selection needs using the adjacent criteria are unsuccessful. Thus, this work seeks to help minimize the gap by presenting a new method for selection using the criteria. Historical and simulations data stochastic evaluations indicate that the portfolios selected by the method are attractive options for implementations. These portfolios have reasonable probabilistic expectations and satisfactory protection to avoid mistakes caused for not considering covariations in return on investment, which indicates a significant advance on the current knowledge frontier and will likely allow the increased use of the concept. The method also presents theoretical contributions in adaptations of the benchmark models, which help to minimize the adjacent literary gap of similar methods.

scholarly journals Decision Support System for Share Investment Using The Capital Assetpricing Method (CAPM)

2021 ◽  
Vol 2 (1) ◽  
pp. 18-22
Author(s):  
Tino Feri Efendi ◽  
Andriani Putri Wihartati
Keyword(s):  
Decision Support ◽  
Asset Pricing ◽  
Decision Support System ◽  
Support System ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
Stock Investment ◽  
Selection Of

Investment is the placement of a number of funds at this time with the hope of obtaining benefits in the future. Stocks are one of the most popular investments. The current millennial generation is interested in investing in stocks because the capital required is not too large. However, in choosing a good stock for investment, the ability to read financial ratios is required. Errors in reading financial ratios will cause stock investment not to go as expected. To help with this, a system capable of supporting decisions is needed. There are several methods that can be used to produce a decision support system. In this study, the authors use the Capital Asset Pricing Model (CAPM) method in designing a decision support system in stock investment selection.The method in this research is through observation, interview, and literature study. The system design is made using Contex Diagram, HIPO, DAD, and database design. The system is made in a program with the PHP programming language. The process of determining the selection of stock investments using the Capital Asset Pricing Model (CAPM) method can simplify the determination process. Then with the method. can make it easier to determine the selection of stock investment.The final result in the stock investment selection process is a report that states investment (Ri> E) or not investment (Ri <E).

scholarly journals Computing Spatiotemporal Accessibility to Urban Opportunities: A Reliable Space-Time Prism Approach in Uncertain Urban Networks

Computation ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 51
Author(s):  
Alireza Sahebgharani ◽  
Mahmoud Mohammadi ◽  
Hossein Haghshenas
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Probability Distributions ◽  
Space Time ◽  
Unified Framework ◽  
Urban Networks ◽  
Street Networks ◽  
Normal Probability ◽  
Significant Difference ◽  
Temporal Dimensions

Space-time prism (STP) is a comprehensive and powerful model for computing accessibility to urban opportunities. Despite other types of accessibility measures, STP models capture spatial and temporal dimensions in a unified framework. Classical STPs assume that travel time in street networks is a deterministic and fixed variable. However, this assumption is in contradiction with the uncertain nature of travel time taking place due to fluctuations and traffic congestion. In addition, travel time in street networks mostly follows non-normal probability distributions which are not modeled in the structure of classical STPs. Neglecting travel time uncertainty and disregarding different types of probability distributions cause unrealistic accessibility values in STP-based metrics. In this way, this paper proposes a spatiotemporal accessibility model by extending classical STPs to non-normal stochastic urban networks and blending this modified STP with the attractiveness of urban opportunities. The elaborated model was applied on the city of Isfahan to assess the accessibility of its traffic analysis zones (TAZs) to Kowsar discount retail markets. A significant difference was found between the results of accessibility values in normally and non-normally distributed networks. In addition, the results show that the northern TAZs had larger accessibility level compared to the southern ones.

scholarly journals Methodology of machine destruction testing

2018 ◽  
Vol 182 ◽  
pp. 01007
Author(s):  
Vladimir Boykov ◽  
Aleksandr Povarecho
Keyword(s):  
Data Processing ◽  
Current Knowledge ◽  
Good Prognosis ◽  
Vibration Method ◽  
Diagnostic Parameters ◽  
Operation And Maintenance ◽  
Technical Systems ◽  
Degradation Degree ◽  
Automated Procedures ◽  
Selection Of

This paper presents selected problems connected with automation of procedures involved in assessment of machine degradation degree using vibration method with special emphasis on the machine state prognosis. The current knowledge of these problems is not sufficient and needs further research on data processing, analysis of efficiency of diagnostic and prognostic procedures, collection and selection of diagnostic parameters and development of automatic procedures for recognition and prognosis of a machine state. New solutions and different aspects of diagnostic prognosis based on the proposed partial procedures focus on factors determining automation of procedures for identification of technical systems states. New automated procedures for acquisition and processing of symptoms indicating the machine state provide better possibilities of control and supervision of technical systems operation and maintenance through identification of their current states, and its good prognosis.

scholarly journals Genomic Alterations and Their Implications on Survival in Nonmetastatic Colorectal Cancer: Status Quo and Future Perspectives

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2001 ◽  
Author(s):  
Reetu Mukherji ◽  
John Marshall ◽  
Andreas Seeber
Keyword(s):  
Colorectal Cancer ◽  
Current Knowledge ◽  
Locally Advanced ◽  
Tumor Resection ◽  
Daily Routine ◽  
Precision Oncology ◽  
Genomic Alterations ◽  
Future Challenges ◽  
The Status ◽  
Selection Of

The selection of treatment according to genomic alterations is a standard approach in metastatic colorectal cancer but is only starting to have an impact in the earlier stages of the disease. The status of genes like KRAS, BRAF, and MMR has substantial survival implications, and concerted research efforts have revolutionized treatment towards precision oncology. In contrast, a genomic-based approach has not changed the adjuvant setting after curative tumor-resection in the daily routine so far. This review focuses on the current knowledge regarding prognostic and predictive genomic biomarkers in patients with locally advanced nonmetastasized colorectal cancer. Furthermore, we provide an outlook on future challenges for a personalized adjuvant treatment approach in patients with colorectal cancer.

scholarly journals Criteria of Optimal Portfolio Selection: Evidence From Private Investors in Greece, Turkey, Italy

2018 ◽  
Vol 8 (2) ◽  
pp. 258
Author(s):  
Mihail N Diakomihalis ◽  
Katerina A Parra ◽  
Assunta Di Vaio ◽  
Derya Atlay Isik
Keyword(s):  
Analytic Hierarchy ◽  
Developed Country ◽  
Financial Investment ◽  
Long Time ◽  
Optimal Portfolio Selection ◽  
Private Investors ◽  
Investment Portfolios ◽  
Hierarchy Process ◽  
Selection Of ◽  
Country Specific

What are the criteria for private investors when they decide to invest their savings in to different investment products? Do these criteria differ between investors from different countries? We are investigating the investment portfolios determinants between private investors from Greece, Turkey and Italy. The study is grounded in the current and potential criteria and sub-criteria influencing investors in selecting financial investment products. The methodology applied in order to satisfy the research aims is the Analytic Hierarchy Process (AHP). The results show that there are considerable differences in the ranking and significance of factors that determine the selection of financial investment products in these three countries. We conclude that differences in the ranking and significance are related to country-specific rather than investor factors and they are justified by the differences of the three countries, one of which is a member of the Eurozone facing a long time of economic crisis, another a candidate EU member, with unforeseeable political system which influences the economic environment as well, and one is highly developed country which belongs to G20.

scholarly journals Prion Strains and Transmission Barrier Phenomena

Pathogens ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 5 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Human Health ◽  
Current Knowledge ◽  
Species Barrier ◽  
Barrier Crossing ◽  
Prion Strain ◽  
Differential Selection ◽  
Physical Support ◽  
Prion Strains ◽  
Selection Of ◽  
Host Characteristics

Several experimental evidences show that prions are non-conventional pathogens, which physical support consists only in proteins. This finding raised questions regarding the observed prion strain-to-strain variations and the species barrier that happened to be crossed with dramatic consequences on human health and veterinary policies during the last 3 decades. This review presents a focus on a few advances in the field of prion structure and prion strains characterization: from the historical approaches that allowed the concept of prion strains to emerge, to the last results demonstrating that a prion strain may in fact be a combination of a few quasi species with subtle biophysical specificities. Then, we will focus on the current knowledge on the factors that impact species barrier strength and species barrier crossing. Finally, we present probable scenarios on how the interaction of strain properties with host characteristics may account for differential selection of new conformer variants and eventually species barrier crossing.

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