Methods of forecasting the input volume in the local market of housing construction and sales

Стерник С.Г.1, Стерник Г.М.2
1 Финансовый университет при Правительстве Российской Федерации
2 МОСКОВСКАЯ АССОЦИАЦИЯ РИЭЛТОРОВ

Journal paper

(РИНЦ, ВАК)
опубликовать статью | оформить подписку

Volume 5, Number 2 (April-June 2018)

Please, cite as:
Sternik S.G., Sternik G.M. Metodika prognozirovaniya obyemov vvoda na lokalnom rynke stroitelstva i prodazhi zhilya // Zhilishchnye strategii. – 2018. – Tom 5. – № 2. – S. 137-152. – doi: 10.18334/zhs.5.2.39142.

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=36393655
Cited: 11 by 07.12.2023

Abstract:
The volume of housing commissioning per capita is one of the most important indicators of the housing market development, as well as an indicator of socio-economic development of the city (region, country). In the context of a complex macroeconomic situation, the plans of regional and municipal authorities in terms of the volume of housing are adjusted as necessary, and this is determined primarily by the change in the investment attractiveness of development projects with a change in their level of profitability. The authors show that the projected volume of construction in the current year is equal to the product of the projected volume of construction in the previous year by the coefficient of change in construction volumes in the current and in the previous year due to the change in the average market yield of investment in development. The integration of this algorithm into the previously developed model of medium-term forecasting of the local housing market development allows to refuse from the assumption of the model on the equality of housing input volumes to the values set in the regional program of housing construction development, and to adjust this value in view of changes in the market and profitability of development. The degree (the model is built and the coefficients are determined) of the influence of the average current return on investment in development in a given financial period on the indicators of the volume of construction and commissioning of housing in the subsequent financial periods. On the basis of the studied dependence, the method of forecasting the actual index of input due to the short - and medium-term investment strategy of developers in the local market of construction and sale of housing is developed. The results obtained, in addition to analytical and marketing objectives, allow monitoring and adjusting the implementation of Federal and regional housing policy in local markets and justify measures to ensure sustainable growth of housing to the planned level.

Keywords: investment, development, modeling, forecasting, profitability, market, construction, housing, housing policy, input

JEL-classification: L74, R31, R21

References:

(2005). Analiz rynka dlya kommercheskikh investitsiy v nedvizhimost [Market analysis for commercial real estate investments] M.: Uchebnyy tsentr RGR. (in Russian).
Drobyshevskiy S.M. (2009). Analiz vozmozhnosti vozniknoveniya «puzyrya» na rossiyskom rynke nedvizhimosti [Analysis of a "bubble" possibility in the Russian real estate market]. Scientific works. (128). 136. (in Russian).
Pechenkina A.V. (2008). Primenenie metoda regressionnogo analiza pri prognozirovanii tsen na rynke zhilya [Application of the regression analysis method in housing market prices forecasting] Modern financial market of the Russian Federation. (in Russian).
Shiller R. (2013). Irratsionalnyy optimizm: Kak bezrassudnoe povedenie upravlyaet rynkami [Irrational optimism: how reckless behavior drives markets] M.: Alpina Pablisher. (in Russian).
Sternik G.M. (1996). Kak prognozirovat tseny na zhile (posobie rieltoru) [How to predict housing prices (benefit to the agent)] M.: RGR. (in Russian).
Sternik G.M. (1997). Ekonometricheskiy analiz i prognoz tsen na zhile v gorodakh Rossii [Econometric analysis and forecast of housing prices in Russian cities] Econometrics of the housing market of the European network of housing market researchers. (in Russian).
Sternik G.M. (1998). Statisticheskiy podkhod k prognozirovaniyu tsen na zhile [A statistical approach to the forecasting of housing prices]. Economics and the Mathematical Methods. 34 (1). 85-90. (in Russian).
Sternik G.M., Krasnopolskaya A.N. (2008). Negarmonicheskoe razlozhenie tsenovoy dinamiki rynka zhilya Moskvy [Non-harmonic decomposition of price dynamics of the Moscow housing market]. Economics of Contemporary Russia. 110-114. (in Russian).
Sternik G.M., Pechenkina A.V. (2007). Prognoz tsen predlozheniya kvartir na rossiyskom rynke zhilya (makroekonomicheskiy podkhod) [Forecast of apartment prices on the Russian housing market (macroeconomic approach)]. Privity in the Russian Federation. (10). 11-18. (in Russian).
Sternik G.M., Sternik S.G. (2009). Analiz rynka nedvizhimosti dlya professionalov [Real estate market analysis for professionals] M.. (in Russian).
Sternik G.M., Sternik S.G. (2018). Metodologiya modelirovaniya i prognozirovaniya zhilischnogo rynka [Methodology of modeling and forecasting of the housing market] Moscow: «RG-Press». (in Russian).
Sternik G.M., Sternik S.G. (2018). Metodologiya modelirovaniya i prognozirovaniya zhilischnogo rynka [Methodology of modeling and forecasting of the housing market] Moscow: «RG-Press». (in Russian).
Sternik G.M., Sternik S.G. (2017). Evaluation of the Mid-Market Return of Developments When Forecasting the Housing Market Studies on Russian Economic Development, Pleiades Publishing, Ltd. 28 (2). 204-212.
Sternik G.M., Sternik S.G. (2017). Otsenka srednerynochnoy dokhodnosti developmenta pri prognozirovanii rynkov zhilya [Assessment of average market profitability of development in the housing market forecasting]. Problems of forecasting. (2(161)). 106-116. (in Russian).
Sternik G.M., Sternik S.G., Sviridov A.V. (2014). Metodologiya prognozirovaniya rossiyskogo rynka nedvizhimosti. Chast 3. Evolyutsiya metodov prognozirovaniya na rynke zhiloy nedvizhimosti Rossii [Methodology of predicting the russian real estate market. part 3]. Mechanization of construction. (2(836)). 60-64. (in Russian).
Sternik G.M., Sternik S.G., Sviridov A.V. (2014). Metodologiya prognozirovaniya rossiyskogo rynka nedvizhimosti. Chast 4. Metodika srednesrochnogo prognozirovaniya lokalnogo rynka zhiloy nedvizhimosti [Methodology of predicting the russian real estate market. part 4]. Mechanization of construction. (6(840)). 60-62. (in Russian).

Страница обновлена: 14.05.2024 в 01:09:01