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Application of the components of correlation-regression analysis when forecasting the prices in the market of office real estate of Kazan


Mikhail Yu. Virtsev
(about the author)

Virtsev Mikhail Yu. – Candidate of Science, Economics, Associate professor of the Chair of Expertise and Property Management (Kazan State University of Architecture and Engineering)

Published in:
Russian Journal of Entrepreneurship
– Volume 17, Number 21 (November 2016)

JEL classification: C30, C53, R33

Keywords: correlation-regression analysis, forecast methods, market of office real estate, multiple regression, time sequence


Citation:
Mikhail Yu. Virtsev (2016). Application of the components of correlation-regression analysis when forecasting the prices in the market of office real estate of Kazan. Russian Journal of Entrepreneurship, 17(21), 3041–3048. doi: 10.18334/rp.17.21.36884


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Abstract:

The problem of forecasting in the market of office real estate is very relevant in the modern conditions, because it enables to decrease the degree of risk and efficiently manage business processes. All the professional participants of the office real estate market are directly interested in obtaining adequate information about the prospects of its development. Hence the problem of choosing methods that would provide the most accurate forecasts. The author discusses and analyzes the existing methods of forecasting the office real estate market and studies possible ways of their improvement. The presented conclusions may be useful to estate agents, developers, lessees and other professional participants of commercial real estate market.








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