ECONOMICS, MANAGEMENT AND ORGANIZATION OF CONSTRUCTION PROCESSES

Quantitative assessment of risks for an investment project in the construction industry

Vestnik MGSU 3/2013
  • Skiba Alisa Anatol’evna - Moscow State University of Civil Engineering (MGSU) postgraduate student, Department of Information Systems, Technologies and Automation in Construction, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Ginzburg Aleksandr Vital’evich - Moscow State University of Civil Engineering (MGSU) (National Research University) Doctor of Technical Sciences, Professor, chair, Department of Information Systems, Technologies and Automation in Construction, Moscow State University of Civil Engineering (MGSU) (National Research University), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 201-206

The authors discuss basic methods of statistical surveillance used to assess risks associated with construction investment projects. The methods considered in this article include a sensitivity analysis (based on the assessments of initial parameters of a project and its final characteristics (usually IRR or NPV)), a method of scenarios (based on assessment of the risk of the project failure considered as the total of all probabilities of a negative NPV), a method of discount rate adjustments (based on the adjustment of the discount rate by adding a risk premium calculated by an expert or an in-house specialist), a decision tree method (whereby a project is reduced to development of a hierarchical scheme of all possible actions; results of an investment project have a treeshaped structure), a Monte Carlo method (meaning a special case of simulation). The authors describe their main advantages, disadvantages and problems that accompany their practical application. The authors also describe methods based on the fuzzy logic theory and suggest formalization of inputs and outputs as a fuzzy interval. General milestones include fuzzification, development of fuzzy rules, de-fuzzification, and methods of de-fuzzification (including a method of maximum centre, a method of maximum value, and a centroid method). The authors make their conclusion in respect of the method that may be regarded as the most suitable for investment projects in the construction industry.

DOI: 10.22227/1997-0935.2013.3.201-206

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