scholarly journals The Decision Support System for Hierarchical Portfolio Management

2014 ◽  
Vol 4 (4) ◽  
pp. 328-331 ◽  
Author(s):  
Pradit Songsangyos
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Portfolio Management

Conceptual framework for real estate transactions

2020 ◽  
Vol 38 (3) ◽  
pp. 245-262
Author(s):  
Werner Gleißner ◽  
Cay Oertel
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Real Estate ◽  
Decision Support System ◽  
Conceptual Framework ◽  
Support System ◽  
Portfolio Management ◽  
Management Practices ◽  
Content Type ◽  
Legal Obligations

PurposeThe purpose of this paper is the development for a conceptual framework with regard to the risk management of real estate positions as foundation for transaction decisions. In this context, the current market environment and legal obligations are the main drivers for market participants to improve their risk management practices. Based on this environment, a practical but science backed model is outlined.Design/methodology/approachThe paper uses a conceptual approach based on the existing literature to develop a practical decision support system. In addition, the current risk management best practices are outlined to illustrate the corporate and methodological foundation for the decision support system.FindingsThe conceptual model development reveals a clear necessity for the supplementation of price to value measures. Additional measures are derived from theoretic considerations based on Monte Carlo Simulation approaches to the risk management of property investments. These additional risk metrics support investors in order make risk-appropriate decisions.Practical implicationsThe resulting decision support system can be applied to the risk management of transaction decisions. Here, the model can be applied in any investment decision to support portfolio management considerations from a comprehensive risk management perspective. Investors can implement the system as part of their transaction procedure.Originality/valueThe existing body of literature mainly focuses on macroeconomic ratios in the context of decision support. In contrast, the present paper reveals a corporate decision support system, which is supposed to foster decisions of market agents especially with regard to potential price and value divergences and tightening legal obligations.

scholarly journals A Python-based multicriteria portfolio selection DSS

2020 ◽  
Author(s):  
Panos Xidonas ◽  
Haris Doukas ◽  
Elissaios Sarmas
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Portfolio Optimization ◽  
Support System ◽  
Portfolio Management ◽  
Programming Model ◽  
Mixed Integer ◽  
Management Decision ◽  
Integer Quadratic Programming ◽  
Goal Programming Model

Our purpose in this article is to develop an integrated portfolio management decision support system, which takes into account the inherent multidimensional nature of the problem, while allowing the decision maker, i.e. investor, to incorporate his/her preferences in the decision process. The proposed decision support system has been developed in Python programming language and consists of two components: The first component is associated with the security selection phase, while the second component is associated with the portfolio optimization phase. In the first phase, four discrete multicriteria methods are employed; the PROMETHEE II, the ELECTRE III, the MAUT and the TOPSIS. After the cumulative integration of the results, a series of mathematical programming models are applied in the sec- ond phase, that of multicriteria portfolio optimization; a mixed-integer quadratic programming model, a goal programming model, a genetic algorithm model, and a multiobjective PROMETHEE flow model. Finally, the proposed approach is tested through a large-scale illustrative application in several stock markets and various sectors, analyzing simultaneously a very large number of securities.

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