Abstract:The problem of not enough public housing for low-income citizens is very urgent in the entire world. This article is dedicated to the topical question; how do we select optimal investment projects and implement successful investment programs to fund public housing projects better. We have formulated basic principles for the formation of an optimal portfolio to use as a standard for investment programs for public housing construction projects. As selection criteria, instead of profitability and risk offered in classical portfolio theory to which private investors are paying attention, we propose the use of social satisfaction survey results and amount of available funding to determine the effectiveness of the programs. We have developed several mathematical models that help aid in the selection of investment projects based on these new requirements. The application of these models in the selected projects selection within the framework of investment programs of public housing construction will allow the most effective use of funds directed to the development of the public housing.
JEL Classification
A model of multiple linear regression is constructed using the data from the resulting indicators over the past 27 years with the imperative of forecasting the ICC trend and proving the impossibility of its use in predicting the results of innovative and investment decisions in the construction sector of the economy in the Russian Federation, since it does not take into account its following important properties: stochasticity, connections’ nonlinearity, systemic potential, high dynamism of the structure and the desire for the information distortion. The relevance of the regression-differential approach in modeling the investment and construction sector and the support of strategic decision-making is substantiated.
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