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The aim of this paper is to propose a portfolio selection methodology capable take into account asset tail co-movements as additional constraints in Markowitz model. We apply the observed time series 10 largest crypto assets, terms market capitalization, over period 20 September 2017–31 December 2020 (1200 daily observations). results indicate that portfolios selected considering risk are more ...

In most companies project work becomes more and more important. In order to optimize the alignment of projects with company strategy, adequate management of the project portfolio is required. In addition to the growing importance of projects and project portfolio management, a paradigm shift within the customer orientation takes place. In this case the customer value, which is characterized by ...

We consider optimal portfolio selection problems in a possibilistic setting. Using the possibilistic framework, we can integrate more efficiently the experts’ knowledge and the investors’ subjective opinions into a portfolio selection model. In 2002 Carlsson, Fullér and Majlender considered portfolio selection problems under trapezoidal possibility distributions and presented an algorithm of co...

At the current stage, development of economic relations is characterized by high competition in all sectors economy with no exception. Requirements, applicable to quality products and services, resource conservation, environmental safety technologies are increasing. Hence, these changes need investments a balanced approach implementation projects, having versatile foci scale. In this regard, po...

We introduce a decision support framework for the research and development (R&D) portfolio selection problem faced by a major U.S. semiconductor manufacturer. R&D portfolio selection is of critical importance to high-tech operations such as semiconductor and pharmaceutical, as it determines the blend of technological development the firm must invest in its R&D resources. This R&D investment lea...

In portfolio theory, it is well-known that the distributions of stock returns often have non-Gaussian characteristics. Therefore, we need non-symmetric distributions for modeling and accurate analysis of actuarial data. For this purpose and optimal portfolio selection, we use the Tail Mean-Variance (TMV) model, which focuses on the rare risks but high losses and usually happens in the tail of r...

Project selection and resource allocation are critical issues in project-based organizations. These organizations are required to plan, evaluate, and control their projects in accordance with the organizational mission and objectives. In this study, we propose a three-stage hybrid method for selecting an optimal combination of projects. We obtain the maximum fitness between the final selection ...