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Analysis of opportunities for economic development of the coastal territories of Aniva bay in Sakhalin region based on the cadastral approach

Gogoberidze G.G. Doctor of Economics, Russian State Hydrometeorological University ( ggg_iczm@rshu.ru )

Mamaeva M.A. Ph D, Head of the International Relations Office, Russian State Hydrometeorological University ( mamaeva@rshu.ru )

Matyushkova A.G. PhD student, Russian State Hydrometeorological University ( ag.matyushkova@gmail.com )

Journal: National Interests: Priorities and Security, #41, 2011

This paper describes creating a model of the inventory of the coastal zone on the example of South Sakhalin municipalities for building recommendations. It is presented the basic concepts and fundamental principles of inventory of the coastal zone are described. Developed guidelines for municipalities of the Aniva Bay of Sakhalin District can be used to improve the socio-economic development of the Russian Federation subject and the coastal municipalities.


Necessity of long- and short-term factors comprehensive accounting for the social and economic benefits assessing of dredging and land reclamation shore projects

Gogoberidze G.G. Doctor of Economics, PhD of Physical-Mathematics, chief scientific officer, Russian State Hydrometeorological University ( ggg_iczm@rshu.ru )

Mamaeva M.A. PhD of Physical-Mathematics, Head of International Relations Office, Russian State Hydrometeorological University ( mamaeva@rshu.ru )

Journal: Economic Analysis: Theory and Practice, #11, 2012

This problem of economic and social impact of dredging projects in terms of comprehensive accounting of the long-and short-term factors during and after project completion are considered in the article. Emphasizes the lack of methods to assess the socio-economic efficiency, taking into account long-term factors and it’s proposed the indicator method for such assessments. As an example of the method it’s provided an assessment of the socio-economic impact of the project "St. Petersburg Marine Facade".


Audit of financial statements: a system approach

Tolchinskaya M.N. Dagestan State University, Makhachkala, Republic of Dagestan, Russian Federation ( margulja3@rambler.ru )

Mamaeva U.Z. Dagestan State University, Makhachkala, Republic of Dagestan, Russian Federation ( mamaeva.uma@yandex.ru )

Journal: Finance and Credit, #35, 2014

The article states that the globalization processes, which are taking place in the world economy, stipulate the need to unify, harmonize and standardize the financial statements of companies, specifically those that are trading on international stock exchanges. In such conditions the companies (groups of companies) ensure the comparability of their financial statements through the application of uniform international standards in the process of the statements preparation. The International Accounting Standards Board (IASB) has been developing the standards since 2001. The authors discuss the technique of a company's performance audit under conditions of reforming the Russian accounting and reporting system.


Formation of a portfolio of orders for iron and steel enterprises using a marginal analysis

Danilenko N.I. Magnitogorsk Branch of Russian Presidential Academy of National Economy and Public Administration, Magnitogorsk, Chelyabinsk Oblast, Russian Federation ( danilenko-nikolay@mail.ru )

Zambrzhitskaya E.S. Nosov Magnitogorsk State Technical University, Magnitogorsk, Chelyabinsk Oblast, Russian Federation ( jenia-v@yandex.ru )

Mamaeva A.V. Nosov Magnitogorsk State Technical University, Magnitogorsk, Chelyabinsk Oblast, Russian Federation ( mamaeva_29_12@mail.ru )

Journal: Financial Analytics: Science and Experience, #6, 2017

Importance The article discusses the issues of order portfolio formation at industrial enterprises.
Objectives The article aims to formalize the procedure of order book formation and build an appropriate algorithm at steel plants.
Methods For the study, we used a method of analyzing the possibility of using break-even.
Results In this article, we introduce an analysis of the problem of order book formation at steel enterprises. We also introduce a concept of break-even point of order and propose a required algorithm inclusive of different variants of order intake. Particular attention is paid to the order book formation with contracts which do not have a fixed structure of supplied products.
Conclusions and Relevance Using the break-even point of order index is most preferred comparing the other characteristics (marginal income, rentability, etc.). The main advantage of the offered index is a possibility to take into account that orders are received not simultaneously, so each particular one is be considered. The proposed methods can improve the efficiency of order book formation at modern enterprises making it economically reasonable and regulated. This will help avoid possible losses.


Problems of making the judgments about the real possibility of restoring solvency crisis organization

Mamaeva A.V. candidate of technical sciences, senior lecturer of the department of financial management, National research nuclear university "Moscow engineering physics institute" ( fenhelann@mail.ru )

Journal: Financial Analytics: Science and Experience, #43, 2013

In the article the problems which can arise at making decisions on definition of opportunity or impossibility of restoration of solvency of the crisis organization are considered. The reasons of problems and ways of their elimination are investigated both from a position of pre-judicial financial improvement, and in case of opening of business on bankruptcy. The article can be useful to specialists of financial services and owners of the enterprises at adoption of anti-recessionary decisions.


Disclose information in domestic and international accounting standards and international financial reporting

Mamaeva I.S. Graduate student, Mordovia State University named after Ogarev ( gis03@yandex.ru )

Journal: International Accounting, #3, 2012

Creation of system of regulation of book keeping and the reporting is one of the primary goals of reforming now. It should correspond to the conventional approaches in the world to book keeping conducting, requirements of users of the financial information in market economy. Formation of the financial reporting according to the international financial reporting standards (IFRS) gives to the Russian enterprises possibility of familiarizing with the international markets of the capital. Application of principles IFRS at drawing up of the financial reporting allows to present the information characterizing a property status and financial results of activity of the organization, clear to all users, and thus to gain trust of real and potential investors.


Analysis of enterprise financial stability on the principles RSA and IFRS

Averina O.I. Doctor of Economics, Professor, Mordovian Ogarev State University ( (342) 29-08-02 )

Mamaeva I.S. Post Graduate student, Mordovian Ogarev State University ( gis03@yandex.ru )

Journal: Economic Analysis: Theory and Practice, #34, 2009

Russia’s transition to market economics caused reforming of the audit system in the country in accordance with the market requirements and with the need to understand Russian enterprise financial reports by foreign investors and other users. Under existing conditions the problem of comparative financial state analysis of the enterprises on their corporations, activities, regions and countries is very actual. Providing information in accordance with IFRS on the property, sourses of finance and activity results makes the comparison of Russian and foreign companies more accurate. The investors being interested in reporting in IFRS format allows to conclude that financial stability will be one of the main factors for successful investment attraction by Russian companies on the International business market. That will allow to expand and modernize productivity and will attract further Russia integration into the global business society.


Neural network modeling of trends in Russia's higher education development from the perspective of human capital formation

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Mamaeva N.A. Nizhny Novgorod State Agricultural Academy (NNSAA), Nizhny Novgorod, Russian Federation ( tarasova-na-an@rambler.ru )

Zakharenko E.S. National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation ( sergeevna309@mail.ru )

Journal: Economic Analysis: Theory and Practice, #4, 2019

Subject The article considers the specifics of higher education development in the Russian Federation as a factor of human capital formation, which is strategically important for the socio-economic growth of the country.
Objectives Our purpose is to investigate changes in the development of the first and second stages of higher education in Russia, using neural network modeling.
Methods The study rests on the multivariate data analysis. We analyzed the indicators of changes in the higher education development by training program for 2013–2017 with the help of Kohonen self-organizing maps using the STATISTICA software package.
Results Through the neural network modeling, we performed a cluster analysis of eight indicators, characterizing changes in activity of public higher education institutions of the Russian Federation in the field of bachelor's and master's degree programs for 2013–2017. We obtained the distribution of training programs in three clusters. The paper presents the characteristics of each cluster and socio-economic conclusions.
Conclusions The paper shows the impact of the said indicators on human capital. The findings are of practical importance for strategic planning of training programs in higher education institutions of the Russian Federation.


Adaptation of models predicting customers' creditworthiness in line with new incoming data on clients

Krasheninnikov V.R. Ulyanovsk State Technical University, Ulyanovsk, Russian Federation ( kvrulstu@mail.ru )

Klyachkin V.N. Ulyanovsk State Technical University, Ulyanovsk, Russian Federation ( v_kl@mail.ru )

Shunina Yu.S. JSC Ulyanovsk Instrument Manufacturing Design Bureau, Ulyanovsk, Russian Federation ( mamaeva_29_12@mail.ru )

Journal: Financial Analytics: Science and Experience, #6, 2017

Importance Machine learning methods are used to predict repayment of loans by borrowers. It is an acute task to update the structure of the aggregate forecast after some time in order to adapt to new clients' characteristics as well as to provide sufficient prediction accuracy.
Objectives The aim is to provide the structure updating of the aggregate forecasting method to improve the prediction accuracy.
Methods In this paper, we used the machine learning methods with different classifiers based on a neural network, logistic regression, discriminant analysis, naive Bayes classifier, Support Vector Machines, etc. To adjust parameters of the models, pseudo-gradient procedure is used. The quality of the model structure obtained with updated parameters is assessed by the average square error in the control sample.
Results We developed a model structure updating method for forecasting customers' loan repayment, the effectiveness of which has been confirmed by practical tests based on the data according to Russian borrowers.
Conclusions and Relevance Using the pseudo-gradient procedure of adjusting the parameters of the chosen model provides an accurate prediction for a certain period of time. However, after significant changes in the credit situation, this model is not able to provide a sufficient accuracy of forecast for any values of its parameters. Therefore, from time to time it is needed to change the structure of the model to provide sufficient prediction accuracy to get more justified decisions about granting credits to new customers on the new terms. The proposed method can be applied in automated systems to support decision-making about granting loans in the banking sector.


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