A method of determining risk zones of investment in real estate

• Autorzy: Ustinovichius L. , Podvezko V. , Ginevicius R.
• Języki publikacji: EN

Abstrakty

EN

In the real estate sector, especially in construction or purchasing of commercial buildings, adequate evaluation of market development and property management is of paramount importance. In this paper, application of mathematical modelling to evaluating the efficiency and risk of investment projects is discussed. Most of the microeconomic models are discrete, implying that the initial data and the results obtained are discrete values. In the suggested model, the most likely variability intervals of the parameters are taken as the basis of modelling. The models suggested in the present paper deal with local investment problems, which should be promptly solved in the presence of a great number of alternative investment possibilities. The modelling is aimed at determining zones related to the quality of decisions in the area of investment. The principles of mathematical modelling and determination of various financial risk zones are described. An example of determination of risk zones of investments in Vilnius are presented.

Słowa kluczowe

EN

mathematical modelling; investment efficiency in construction; investment projects

PL

modelowanie matematyczne

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2006
• Tom: Vol. 35, no 2
• Strony: 471--486
• Opis fizyczny: Bibliogr. 42 poz.

Twórcy

autor

Ustinovichius L.

autor

Podvezko V.

autor

Ginevicius R.

• Department of Building Technology and Management, Vilnius Gediminas Technical University, Vilnius, Lithuania,

Bibliografia

• ALKOC, E. and ERBATUR, P. (1997) Productivity improvement in concroting operations through simulation models. Building Research and Information 25 (2), 82-91.
• BURTON, R.M., DAMON, W.W. and OBEL, B. (1979) An organizational model of integrated budgeting for short-run operations and long-run investment. Journal of the Operational Research Society 30, 575-585.
• CHENG, M.Y. and O’CONNOR, J.T. (1993) Simulation Analysis of Process Piping Construction. Automation and Robotics in Construction 10, 519-545.
• CUTHBERTSON, K. and NITZSCHE, D, (2001) Investments Spot and Derivatives Markets. John Wiley & Sons.
• DAMON, W.W. and SCHRAMM, R. (1972) A simultaneous decision model for production, marketing and finance. Management Science 19 (2), 161-172.
• DHRYMES, P. and KURZ, M. (1967) Investment, dividends, and external finance behaviour of firms. In: R. Ferber, ed., Determination Investment Behavior. Columbia University Press, New York.
• GINEVICIUS, R. and CIRBA, S. (2003) A competitive strategy for selecting the parameters of building contracts. Journal of Civil Engineering and Management 9 (Suppl. 1), 40-44 (in Lithuanian).
• GUERARD, J.B. and STONE, B.K. (1987) Strategic Planning and the Investment-Financing Behaviour of Major Industrial Companies. Journal of the Operational Research Society 38 (12), 1039-1050.
• HAMILTON, W.F. and MOSES, M.A. (1973) An optimization model for corporate financial planning. Operations Research 21 (3), 677-692.
• HUANG, R.Y. and HALPIN, D. (1993) Dynamic interface simulation for construction operations (DISCO). Automation and Robotics in Construction 10, 503-513.
• JENKINS, L. and ANDERSON, M. (2003) A multivariate statistical approach to reducing the number of variables in data envelopment analysis. European Journal of Operational Research 147 (1), 51-61.
• JOINT-STOCK COMPANY “OBER – HAUS” (2002) Real estate databases.
• KIM, N., HAN, J.K. and SRIVASTAVA, R.K. (2002) A Dynamic IT Adoption Model for SOHO Market: PC Generational Decisions with Technological Expectations. Management Science 48 (2), 222-240.
• LAM, K.C. and RUNESOS, G. (1999) Modeling financial decisions in construction firms. Construction Management and Economics 17 (5), 589-602.
• LARICHEV, 0., KOCHIN, D. and USTINOVICHIUS, L. (2003) Multicriteria method for choosing the best alternative for investment. International Journal of Strategic Property Management 7 (1), 33-43.
• LEE, H. and TANAKA, H. (1999) Upper and lower approximation models in interval regression using regression quantile techniques. European, Journal of Operational Research 116 (3), 653-666.
• MCCABE, G.M. (1979) The empirical relationship between investment and financing: a new look. Journal of Financial and Quantitative Analysis 14 (1), 119-135.
• MOSELHI, 0. and HANSON, S. (1994) Computer simulation of concrete slab-on-grade construction. Automation and Robotics in Construction 10, Amsterdam, 125-157.
• MOSMANS, A., PRAET J.C. and DUMONT, CH. (2002) A decision support system for the budgeting of the Belgian health care system. European Journal of Operational Research 139 (2), 449-460.
• NG, S.T., MAK, M.M., SKITMORE. R.M. and VAMAM, M. (2001) The predictive ability of Bromilow’s time-cost model. Construction Management and Economics 19 (2), 165-173.
• NOWAK, M. (2005) Investment projects evaluation by simulation and multiple criteria decision aiding procedure. Journal of Civil Engineering and Management 11 (3), 193-202.
• OLINSKY, A., CHEN, SH. and HARLOW, L. (2003) The comparative efficacy of imputation methods for missing data in structural equation modeling. European Journal of Operational Research 151 (1), 53-79.
• PETERSON, P. and BENESH, G. (1983) A reexamination of the empirical relationship between investment and financing decisions. Journal of Financial & Quantitative Analysis 18 (4), 439-454.
• PRORVICH, V. (1998) Basic principles of evaluating urban territories. Moscow. Publishing house “Delo” (in Russian).
• RUTKAUSKAS, A.V. (2000) Formation of adequate investment portfolio for stochasticity of profit possibilities. Property Management 4 (2), 100-115.
• RUTKAUSKAS, A.V. (2001) Financial analysis problems under presence of uncertainty. Property Management 5 (1), 45-62.
• SENIOR, B.A. (1995) Late-time computation for task chains using discrete-event simulation. Journal of Construction Engineering and Management 121 (4), 397-403.
• SHI, J. and ABOURIZK, S.M. (1997) Resource-based modeling for construction simulation. Journal of Construction Engineering and Management 123 (1), 26-33.
• SINHA, R.K. and CHANDRASHEKARAN, M. (1992) A split hazard model for analyzing the diffusion of innovations. Journal of Marketing Research 29 (1), 116-127.
• SKITMORE, M. and NG, T. (2001) Australian project time-cost analysis: statistical analysis of intertemporal trends. Construction Management and Economics 19 (5), 455-458.
• STASIULIONIS, A., USTINOVICHIUS, L. and ZAVADSKAS, E.K. (2002) Market’s multicriteria based development of commercial property in Baltic countries. Tiltai (Bridges) 21 (4), 31-38 (in Lithuanian).
• SUTCLIFFE, V.M. (1996) Use of technology improves competitiveness. Managing Office Technology 41 (3), 10-11.
• TARASEVICH, E. (2000) The analysis of investments into real estate. MKS, St. Petersburg (in Russian).
• USTINOVICHIUS, L. (2004) Determination of Effciency of Investments in Construction. International Journal of Strategic Property Management 8 (1), 25-44.
• USTINOVICHIUS, L. and PODVEZKO, V. (2003) A mathematical modelling method of determining investment efficiency in construction. Proceedings of the International Conference held in Vilnius - Modelling and Simulation of Business Systems, Lithuania 13-14th May 2003, 160-164.
• USTINOVICHIUS, L. and STASIULIONIS. A. (2001) Multicriteria-based estimation of selection of commercial property construction site. Statyba (Civil Engineering) 7 (6), 474-480 (in Lithuanian).
• VAIDOGAS, E.R. (1998) Property valuation by means of risk analysis. Real Estate Valuation and Investment 1 (3), 43-52.
• VANEGAS, J.A. and OPDENBOSCH, A. (1994) Using simulation and visualisation technologies to strengthen the design construction interface. Proceedings of the 1994. Winter Simulation Conference, 1137-1181.
• ZAVADSKAS, E.K., USTINOVICHIUS, L., TURSKIS. Z., PELDSCHUS, F. and MESSING, D. (2002) LEVI-3.0 - multiple criteria evaluation program for construction solutions. Journal of Civil Engineering and Management 8 (3), 184-191.
• ZAVADSKAS, E.K., PELDSCHUS, F. and USTINOVICHIUS, L. (2003) Development of software for multiple criteria evaluation. Informatica 14 (3), 259-272.
• ZAVADSKAS, E.K., USTINOVICHIUS, L. and STASIULIONIS, A. (2004a) Multicriteria valuation of commercial construction projects for investment purposes. Journal of Civil Engineering and Management 10 (2), 151-166.
• ZAVADSKAS, E.K., KAKLAUSKAS, A. and RASLANAS, S. (2004b) Evaluation of investments into housing renovation. International Journal of Strategic Property Management 8 (3), 177-190.