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The managing of efficiency conglomerated and integrated structures in the context of stakeholder theory

Beloborodova A.L. graduate student, the department of marketing, Kazan state finance and economics institute ( a-beloborodova@mail.ru )

Journal: Economic Analysis: Theory and Practice, #15, 2010

Assessment of conglomerated and integrated structures efficiency, correctness and reliability of results influence on managing efficiency. That is why the development of managing mechanism of conglomerated and integrated structures based on its efficiency acquires importance. In the article the author represents the managing mechanism of conglomerated and integrated structures efficiency based on the stakeholder theory.


Investment development of the noncommercial housing organizations - world experience and prospects in Russia

Harisova G.M. associate professor, economic faculty, chair of economy and business in building, Kazan state university of architecture and engineering ( igareev@mail.ru )

Sirazetdinov R.M. associate professor, economic faculty, chair of economy and business in building, Kazan state university of architecture and engineering ( +7 (987) 296-52-82 )

Beloborodova M.A. Prof.of Econ.Sci., the expert in methodical work, Institute of improvement of professional skill and professional retraining of educators ( marina-nk@mail.ru )

Journal: National interests: priorities and security, #30, 2010

Actions realized by the state are directed exclusively on support of acquisition of habitation to the property. In this connection norms of the right and an order, regulating questions of maintenance aren't generated by social habitation. In the developed countries the housing policy covers both building of habitation intended for tenancy, and habitation building in the property. In Republic Tatarstan all conditions for start of mass building of social habitation are by this time created.


The method of neural network forecasting of box-office grosses of movies

Yasnitskii L.N. Perm State National Research University, Perm, Russian Federation ( yasn@psu.ru )

Beloborodova N.O. Higher School of Economics, Perm, Russian Federation ( natasha09.12@mail.ru )

Medvedeva E.Yu. Higher School of Economics, Perm, Russian Federation ( win.mail.ru95@inbox.ru )

Journal: Financial Analytics: Science and Experience, #4, 2017

Importance The article focuses on the neural network forecasting in the film-making industry.
Objectives The article examines what opportunities economic and mathematical modeling provides to forecast revenue and profit from coming movie distribution and identifies factors that determine whether film-making business becomes a commercial success.
Methods The economic and mathematical model relies upon the neural network trained with available historical data on movie distribution and including 20 input parameters. Computer experiments were performed with the ‘freezing’ method. We used the neural network for computations if any of input data changes, meanwhile the rest of them remain the same.
Results Root-mean-square relative error of the model accounted for 13.8%, with the determination criterion being 0.86%. We refer to The Da Vinci Code, Star Wars to demonstrate what the model is capable of.
Conclusions and Relevance Virtual increase in the film budget influences projections of box-office grosses and revenue differently. Other aspects of films also have an effect on the success of film-making business. Having conducted computer experiments, we provide our recommendations, which could boost box-office grosses of films. The proposed economic and mathematical model can be used to optimize financial costs and choose parameters to plan new films to come. The model allows for forecast of box-office grosses and profit from film-making, and examine how various aspects influence the commercial result of film-making.


The Method for Forecasting Box-Office Grosses of Movies with Neural Network

Yasnitskii L.N. Perm State National Research University, Perm, Russian Federation ( yasn@psu.ru )

Beloborodova N.O. Higher School of Economics, Perm, Russian Federation ( natasha09.12@mail.ru )

Medvedeva E.Yu. Higher School of Economics, Perm, Russian Federation ( win.mail.ru95@inbox.ru )

Journal: Digest Finance, #3, 2017

Importance The article focuses on the neural network forecasting in the film-making industry.
Objectives The article examines what opportunities economic and mathematical modeling provides to forecast revenue and profit from coming movie distribution and identifies factors that determine whether film-making business becomes a commercial success.
Methods The economic and mathematical model relies upon the neural network trained with available historical data on movie distribution and including 20 input parameters. Computer experiments were performed with the ‘freezing’ method. We used the neural network for computations if any of input data changes, meanwhile the rest of them remain the same.
Results Root-mean-square relative error of the model accounted for 13.8 percent, with the coefficient of determination being 0.86 percent. We refer to The Da Vinci Code, Star Wars to demonstrate what the model is capable of.
Conclusions and Relevance A virtual increase in the film budget influences projections of box-office grosses and revenue differently. Other aspects of films also have an effect on the film-making success. Having conducted computer experiments, we provided our recommendations, which could boost box-office grosses of films. The proposed economic and mathematical model can be used to optimize financial costs and choose parameters to plan new films to come. The model allows for forecasting box-office grosses and profit from film-making, and examines how various aspects influence the commercial result of film-making.


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