A decision support system for real estate investment portfolio management

1989 ◽  
Vol 16 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Robert R. Trippi
2020 ◽  
Vol 38 (3) ◽  
pp. 245-262
Author(s):  
Werner Gleißner ◽  
Cay Oertel

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.


2012 ◽  
Vol 174-177 ◽  
pp. 3286-3290 ◽  
Author(s):  
Min Li Zhang ◽  
Guo Chao Han

After the economic crisis in 2009, the real estate market has gone through a temporary prosperity, but now it is undergoing the country’s another round of macro control. In order to comply with the national’s implementation of "one-room, one- price" policy and make second-hand housing market standardized. A comprehensive analysis of our country’s real estate prices and the latest development trends is made in this paper, besides; the analysis is based on the real estate evaluation theory. This paper presents a novel real estate estimation method based on spatial decision support system, theoretical analysis and the application of computer technology, this approach is an integration of decision support systems (DSS) and Geographic Information Systems (GIS). Meanwhile, it can make our country’s real estate evaluation more regular and scientifically.


2005 ◽  
Vol 11 (3) ◽  
pp. 183-189 ◽  
Author(s):  
Artūras Kaklauskas ◽  
Vita Urbanavičienė

The authors of this paper together with the other VGTU scientists participate in the international project INTELCITIES and present Multiple Criteria Web‐Based Negotiation Decision Support System for Real Estate (NDSSRE). INTELCITIES project is a research and development project that aims to pool advanced knowledge and experience of e‐government, planing systems and citizen participation. NDSS‐RE includes a decision support tool based on the methods of alternative generation and multiple criteria analysis that enable negotiating parties to evaluate their systems of preferences and recognize opportunities for trade‐off between differently valued objectives and joint gains. At present the developed NDSS‐RE allows for the performance of the following functions: search for real estate alternatives; finding out alternatives and making an initial negotiation table; multiple criteria analyses of alternatives; negotiation based on real calculations; determination of the most rational real estate purchase variant on the ground of characteristics describing effectiveness of the analysed alternatives. The third part of the paper deals with traditional negotiation principles and describes negotiation tactics, such as “The Atractive Alternative”, “The Stall and Jolt”, “The Comparative Value”, “The Third Party”, “The No More Money” and “The Walk Away” tactics. More traditional negotiation principles and tactics have been planned to integrate in future concerning the described NDSS‐RE system because the knowledge and implementation of all the above mentioned tactics and principles lead to more successful negotiation for the lowest possible price buying real estate.


2005 ◽  
Vol 11 (2) ◽  
pp. 91-97 ◽  
Author(s):  
Artūras Kaklauskas ◽  
Mindaugas Gikys

One of the major problems in Multiple Listing Service Systems is to find what you want. Number of real estate alternatives on the Internet is thousands. How can customers find the rational alternative on the Internet? Once real estate is found, the customer usually wants to compare alternatives. There are five types of aids to comparison shopping: search on hypertext files by agents, search alternatives on databases, alternative search and tabular comparison, comparison of alternative products and services from multiple malls, search and multiple criteria decision‐making. Therefore, the efficiency of Multiple Listing Service Systems may be increased by applying multiple criteria decision support systems developed by authors. The authors have developed Web‐based Decision Support System for Real Estate (DSS‐RE). Proposed DSS‐RE can create value in next important ways: help customers assess their needs, identify suitable real estate to fulfil needs, compare and evaluate real estate, help customers evaluate the usefulness of the real estate in the after‐purchase evaluation stage, etc.


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