scholarly journals Investment Portfolio Formation Using Multi-criteria evaluation Method MULTIMOORA

2017 ◽  
Vol 9 (2) ◽  
pp. 209-219
Author(s):  
Vilius Vaišvilas ◽  
Raimonda Kaulienė
Keyword(s):  
Statistical Analysis ◽  
Evaluation Method ◽  
Scientific Literature ◽  
Task Complexity ◽  
Investment Portfolio ◽  
Investment Evaluation ◽  
Multi Criteria Evaluation ◽  
Article Analysis ◽  
The Baltic ◽  
Complicated Task

Information that has to be analyzed by investors is complicated and can be interpreted differently by different people, which is why choosing what should be added to the investment portfolio is complicated task. Complexity grows substantially when there are more alternatives to choose from. Multi – criteria evaluation method can be used to choose the best alternatives. Multi–criteria evaluation method MULTIMOORA is not subjective because there is no need to decide ratio of any given variable that is evaluated. MULTIMOORA consists of: formation of ratio system, application of multi – criteria evaluation method as well as investment evaluation and ranking. Purpose of this article is to apply multi – criteria evaluation method MULTIMOORA for the formation and management of investment portfolio from stocks of the Baltic stock market companies. Methods used in the analysis for the article: analysis of scientific literature, statistical analysis, organization and comparison of data, idealization, calculations of MULTIMOORA.

scholarly journals Analysis of the Water Level Variation in the Polish Part of the Vistula Lagoon (Baltic Sea) and Estimation of Water Inflow and Outflow Transport through the Strait of Baltiysk in the Years 2008–2017

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1328
Author(s):  
Michał Szydłowski ◽  
Wojciech Artichowicz ◽  
Piotr Zima
Keyword(s):  
Statistical Analysis ◽  
Numerical Model ◽  
Baltic Sea ◽  
Water Level ◽  
Vistula Lagoon ◽  
Level Variation ◽  
The Baltic Sea ◽  
Water Level Variation ◽  
The Baltic ◽  
The Vistula Lagoon

The Vistula Lagoon is located in both Poland and Russia along the southern coast of the Baltic Sea. It is connected to the Baltic Sea in the Russian part by the Strait of Baltiysk. The purpose of the paper is to identify the dominant factors underlying the water level variation mechanism at Tolkmicko in the Vistula Lagoon, revealed by a statistical analysis of the measured data and a discussion on the inflow and outflow transport variation through the strait, estimated by numerical modeling. Seawater transport is exceptionally valuable in terms of the hydrological water balance in the lagoon. Historical research on the hydrology of the lagoon shows that the water exchange in the lagoon is quite complex due to the presence of several different sources of water balance, such as seawater inflow, river inflow, groundwater inflow, precipitation, and evaporation. Unfortunately, there are no current data on seawater inflow and outflow through the Strait of Baltiysk due to the lack of continuous flow measurements in the strait. A novelty of the current work is an in-depth statistical analysis of the water level variation in the Polish part of the lagoon over a long time period and an estimation of water transport through the Strait of Baltiysk by use of a numerical model. The model reproduces well the water level variation responding to variations in the sea level outside the lagoon and the wind action over the lagoon. The years 2008–2017 were chosen as the analysis period. A two-dimensional free surface shallow water numerical model of the lagoon was adapted to simulate the water level variation in view of the wind over the lagoon and the sea level variation at one open boundary. Finally, it was concluded that the water level variation on the Polish side of the Vistula Lagoon is dominated by two factors: the water level in the Gulf of Gdańsk and the wind over the lagoon. The average annual marine water inflow into the Vistula Lagoon was estimated to be equal to 15.87 km3.

scholarly journals Personalized Multi-Criteria Decision Strategies in Location-based Decision Support

2021 ◽  
Author(s):  
Claus Rinner ◽  
Martin Raubal
Keyword(s):  
Decision Support ◽  
Evaluation Method ◽  
User Preferences ◽  
Location Based Services ◽  
Weighted Averaging ◽  
Decision Strategy ◽  
Decision Strategies ◽  
Multi Criteria Evaluation ◽  
Current Location ◽  
Decision Alternatives

Location-based services (LBS) assist people in decision-making during the performance of tasks in space and time. Current LBS support spatial and attribute queries, such as finding the nearest Italian restaurant from the current location of the user, but they are limited in their capacity to evaluate decision alternatives and to consider individual decision-makers’ user preferences. We suggest that LBS should provide personalized spatial decision support to their users. In a prototype implementation, we demonstrate how user preferences can be translated into parameters of a multi-criteria evaluation method. In particular, the Ordered Weighted Averaging (OWA) operator allows users to specify a personal decision strategy. A traveler scenario investigating the influence of different types of users and different decision strategies on the outcome of the analysis serves as a case study.

scholarly journals ESG disclosure patterns in the Baltics

2020 ◽  
Author(s):  
Ilze Zumente ◽  
Nataļja Lāce ◽  
Jūlija Bistrova
Keyword(s):  
Content Analysis ◽  
Statistical Analysis ◽  
Stock Exchange ◽  
Financial Disclosure ◽  
Social Dimensions ◽  
Key Characteristics ◽  
Wide Range ◽  
Financial Metrics ◽  
The Baltic ◽  
Disclosure Patterns

The goal of this article is to provide evidence on the volume of ESG disclosures of 34 companies listed on the NASDAQ Baltic stock exchange. It provides a broad view of the non-financial disclosure thoroughness and offers conclusions on the key characteristics of the Baltic listed companies in terms of ESG. By performing content analysis of the publicly available reports based on 106 ESG criteria and statistical analysis of the retrieved data, the disclosure patterns across reporting dimensions, industries, and company characteristics are analyzed. Authors find a wide range (8% to 67%) ESG transparency scores with an average of 41%. On aggregate, governance and social dimensions are reported better (49% and 44%) than environmental (24%). Correlation analysis was performed to test the correlation between ESG and selected financial metrics revealing that the ESG disclosure score correlates with the firm’s market capitalization.

scholarly journals Selecting the most effective alternative of waterproofing membranes for multifunctional inverted flat roofs

2017 ◽  
Vol 23 (5) ◽  
pp. 650-660 ◽  
Author(s):  
Darius KALIBATAS ◽  
Vytautas KOVAITIS
Keyword(s):  
Game Theory ◽  
Evaluation Method ◽  
Effective Alternative ◽  
Advantages And Disadvantages ◽  
Multi Criteria Evaluation ◽  
Flat Roofs ◽  
Made In

There are many various methods, techniques and materials for constructing multifunctional inverted flat roofs now. However, in practice, the constructed roofs of this type often have various defects, whose elimination is rather costly. To solve this problem, the analysis of multifunctional inverted flat roofs has been performed and their advantages and disadvantages, as well as building defects and mistakes made in the course of construction, have been demonstrated. Damp-proofing materials available on the market for making waterproofing membranes for multifunctional inverted flat roofs have been evaluated. The problem of choosing the most effective membrane alternative for the investigated type of roofs is solved by analysing ten alternatives with the help of multi-criteria evaluation method, SAW and three game theory rules determined by Hurwicz, Laplace and Bayes, as well as LEVI 3.0 program. The analysis of the results has shown that the alternative No. 5 is the best membrane alternative among the ten considered options.

Finite Mixture Models

2019 ◽  
Vol 6 (1) ◽  
pp. 355-378 ◽  
Author(s):  
Geoffrey J. McLachlan ◽  
Sharon X. Lee ◽  
Suren I. Rathnayake
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Mixture Models ◽  
Scientific Literature ◽  
Finite Mixture Models ◽  
Group Structure ◽  
Finite Mixture ◽  
Potential Usefulness ◽  
General Scientific

The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the statistical and general scientific literature. The aim of this article is to provide an up-to-date account of the theory and methodological developments underlying the applications of finite mixture models. Because of their flexibility, mixture models are being increasingly exploited as a convenient, semiparametric way in which to model unknown distributional shapes. This is in addition to their obvious applications where there is group-structure in the data or where the aim is to explore the data for such structure, as in a cluster analysis. It has now been three decades since the publication of the monograph by McLachlan & Basford (1988) with an emphasis on the potential usefulness of mixture models for inference and clustering. Since then, mixture models have attracted the interest of many researchers and have found many new and interesting fields of application. Thus, the literature on mixture models has expanded enormously, and as a consequence, the bibliography here can only provide selected coverage.

A multi-criteria evaluation method for sturgeon farming site selection in the southern coasts of the Caspian Sea

Aquaculture ◽  
2019 ◽  
Vol 513 ◽  
pp. 734416 ◽  
Author(s):  
Saeid Esmaeilpour-Poodeh ◽  
Rasoul Ghorbani ◽  
Seyed Abbas Hosseini ◽  
Abdolrassoul Salmanmahiny ◽  
Hassan Rezaei ◽  
...  
Keyword(s):  
Site Selection ◽  
Caspian Sea ◽  
Evaluation Method ◽  
The Caspian Sea ◽  
Multi Criteria Evaluation

Combining AHP and TOPSIS Methods to Evaluate Investment for Wind Farm Construction

2013 ◽  
Vol 860-863 ◽  
pp. 280-286 ◽  
Author(s):  
Xiang Feng Zhang
Keyword(s):  
Alternative Energy ◽  
Wind Farm ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Wind Farms ◽  
Investment Strategy ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Order Preference ◽  
Rational Investment

Wind is one of the most promising sources of alternative energy. The construction of wind farms grows quickly in China. It is necessary for stakeholders to estimate investment costs and make good decisions on a wind power project by making a budget for the investment. However, the identification of rational investment practices is technically challenging because of the lack of scientific tools to evaluate optimal decisions. A multi-criteria evaluation method was proposed to select rational investment strategy for wind farm construction. The method is based on the analytic hierarchy process (AHP) together with a technique for order preference by similarity to ideal solution (TOPSIS). A decision problem hierarchy with three layers were investigated. The top layer is an objective layer for evaluating the investment rationality. The intermediate layer includes three evaluation criteria, that is, configuration of wind turbine generator systems, physical environment and social environment. Some relative and important indicators for each criterion are in the low layer. The evaluation results illustrate that the proposed method is practical and helpful to indentify the investment rationality for wind farms.

scholarly journals Multi-criteria evaluation method for freight logistics innovations

2015 ◽  
Vol 9 (6) ◽  
pp. 662-669 ◽  
Author(s):  
Antti Permala ◽  
Ville Hinkka ◽  
Jenni Eckhardt ◽  
Jacques Leonardi ◽  
Karri Rantasila ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Multi Criteria Evaluation ◽  
Freight Logistics
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