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Journal articles on the topic 'Forecasting of economic processes'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Clements, Michael P., and David F. Hendry. "Forecasting economic processes." International Journal of Forecasting 14, no. 1 (1998): 111–31. http://dx.doi.org/10.1016/s0169-2070(97)00057-5.

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2

Kuznetsova, Olga. "MARL: potential applications in socio-economic processes forecasting." Herald of CEMI 7, no. 3-4 (2024): 0. https://doi.org/10.33276/s265838870033401-4.

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This article describes one of the methods of artificial intelligence – Multiagent Reinforcement Learning (MARL). MARL is a modern and useful instrument for analyzing and forecasting the behavior of complex systems (agents). The first part of the article discusses the methods of artificial intelligence: machine learning, reinforcement learning and MARL. Second part contains detailed information about MARL, including description, limitations and application spheres. The third part provides the example of a MARL model for socio-economic forecasting. The conclusion gives the information about MARL

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3

Гажур and A. Gazhur. "The System Criteria Score of Basic Economic Structure: Territory, Infrastructure, Processes, Technological Processes, And Final Products." Economics of the Firm 2, no. 3 (2014): 35–39. http://dx.doi.org/10.12737/2494.

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Various approaches to forecasting the future economic development of civilization are explored. The author suggests a uniform criteria scoring method to evaluate the array of energy indicators, which characterize an economic unit as a basis for forecasting of energy-effective development.

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P.I., Bidyuk, Gozhyj O.P., Kalinina I.O., Danilov V.J., and Jirov O.L. "ADAPTIVE MODELING AND FORECASTING ECONOMIC AND FINANCIAL PROCESSES." Informatics and mathematical methods in simulation 9, no. 4 (2019): 231–50. http://dx.doi.org/10.15276/imms.v9.no4.231.

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5

Mičeková, Mária. "Another perspective on the forecasting of economic processes." Communications - Scientific letters of the University of Zilina 1, no. 2 (1999): 45–51. http://dx.doi.org/10.26552/com.c.1999.2.45-51.

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6

Wojciechowski, Łukasz, and Tadeusz Cisowski. "Modeling of Economic Forecasting of Manufacturing Processes in Transport Services Market." Applied Mechanics and Materials 791 (September 2015): 141–45. http://dx.doi.org/10.4028/www.scientific.net/amm.791.141.

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7

Kononenko, Zhanna, Roman Sharavara, and Olena Zinchenko. "STATISTICAL ANALYSIS OF TIME TRENDS IN FORECASTING ECONOMIC PROCESSES." Economic scope, no. 200 (May 9, 2025): 184–90. https://doi.org/10.30838/ep.200.184-190.

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The article is devoted to the study of statistical analysis of time trends as a key tool in forecasting economic processes. In the context of high dynamism in the modern economy and the limited predictability of market changes, the effective modeling of trends in economic indicators is of particular importance. The paper examines the sequence of actions in the process of statistical forecasting, starting from preliminary data processing to the selection of an appropriate time series model. The primary focus is on analyzing the trend component as a determining factor in the dynamics of economic

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8

Кладченко, Ірина. "ПРОГНОЗУВАННЯ ТРАЄКТОРІЇ НАЦІОНАЛЬНОГО ЕКОНОМІЧНОГО РОЗВИТКУ МЕТОДАМИ ГАРМОНІЙНОГО І СПЕКТРАЛЬНОГО АНАЛІЗУ". Economical 1, № 1(22) (2020): 115–31. http://dx.doi.org/10.31474/1680-0044-2020-1(22)-115-131.

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Improving of the methodological tools for the national economies behavior’s forecasting in the context of increasing the validity and analytical characteristics of state economic strategies in conditions of high volatility, lack of trend stability and non-stationary dynamics of external and internal socio-economic processes by implementing interdisciplinary methods of Fourier analysis and their adaptation to the specifics of the socio-economic systems’ functioning and development. Methodology. The forecasting’s targeting as an important independent stage in the process of analytical assessment

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Rustambekov, G., and F. Efendiev. "ECONOMIC PROCESSES IN THE LIGHT OF ENVIRONMENTAL REALITIES." Danish scientific journal, no. 71 (April 24, 2023): 11–13. https://doi.org/10.5281/zenodo.7878538.

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<strong>Abstract</strong> One of the urgent problems of our time is the scientific forecasting of economic processes. At the same time, it should be taken into account that the forecast is a specific type of knowledge, the development of which requires a multifaceted analysis and the development of a special theory. Finally, forecasting is a way of reflection, which can be called a leading reflection, in which consciousness goes ahead of the developing reality, as it were. <strong>Аннотация</strong> Одной из актуальных проблем современности  является научное прогнозирование экономических

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Safarov, G. A., and M. D. Urazayeva. "Cost analysis and estimation in oil extraction." Azerbaijan Oil Industry, no. 04 (April 15, 2024): 47–53. http://dx.doi.org/10.37474/0365-8554/2024-04-47-53.

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The analysis is used in the economy to determine the regularities, essence, tendencies of social and economic processes, economic activities as a whole. Analysis in economics acts as a starting point for planning, forecasting and managing economic objects and the processes occurring there. Economic analysis is recognized for scientifically justifying decision-making and actions in the field of socio-economic policy, economics, and helping to select the best options for action.

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11

Alexander, Shuvaev Olga Butova Victor Lebedev Inna Lebedeva Tamara Skrebtsova. "MODELING AND FORECASTING SOCIO-ECONOMIC PROCESSES IN THE REGION." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES o6, no. 04 (2019): 7082–86. https://doi.org/10.5281/zenodo.2628902.

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<em>Modeling socio-economic processes is an important methodological tool that allows you to formalize the development of this process or phenomenon in a certain time period. This makes it possible to adequately assess the main characteristics and properties of the control object, to determine the vector of its development for the future, to formulate the optimal management decision. The model of the socio-economic process can be used in predicting the production activity of an object, reflecting the main trends of its life cycle.</em> <em>Meanwhile, at the present time, nonlinear, stochastic

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12

Muftaydinov, Kiyomidin, and Ilkhomjon Yuldashevich Umarov. "MODELING AND FORECASTING ECONOMIC PROCESSES OF FOOD INDUSTRY ENTERPRISES." Annali d'Italia 61 (November 27, 2024): 31–35. https://doi.org/10.5281/zenodo.14230797.

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Today, for the effective development of the food industry in Uzbekistan, it is important to develop effective economic and managerial decisions and ensure their implementation. The article developed a model of the relationship between the cost of gross production and the depreciation of fixed assets and intangible assets. The ascending order of the case under study is shown by flattening the time series using the least squares method. The dynamics of the wage fund, depreciation of fixed assets and intangible assets in the food industry of the Republic of Uzbekistan in 2014-2023 and foreca

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13

Aliyev, Alovsat. "Conceptual basis of Development and Application of Artificial Intelligence Technologies in Forecasting Economic Processes." Artificial societies 18, S1 (2023): 0. http://dx.doi.org/10.18254/s207751800028599-7.

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The article is devoted to the issues of forming the conceptual bases for the development and application of artificial intelligence technologies in the forecasting of economic processes. The relevance of developing a conceptual approach to the application of artificial intelligence technologies to predicting economic processes is substantiated. An overview analysis of relevant related scientific research works was conducted and the state of problem development was studied. Artificial intelligence includes machine and deep learning, natural language processing, computer vision, expert systems,

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14

Kulyasova, A. S., A. R. Esina, and V. D. Svirchevskiy. "Economic and mathematical modeling as an effective tool of the analysis of economic processes in industry." Russian Journal of Industrial Economics 12, no. 3 (2019): 316–22. http://dx.doi.org/10.17073/2072-1633-2019-3-316-322.

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In conditions of market volatility, an important issue for industrial enterprises is the issue of creating an efficient resource allocation mechanism. The article gives an example about using of individually adapted economic and mathematical model for forecasting the cost of materials and purchased products, that takes into account both internal and external factors affecting the planning figures. In order to create an effective predictive model, an analysis was conducted of statistical data for the period from 2009 to 2016, data was represented by high-tech enterprises of the radioelectronic

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15

Алешко, O. Aleshko, Буданов, Igor Budanov, Устинов, and V. Ustinov. "Special Features of Industrial Complexes’ National Economic Forecasting." Administration 3, no. 1 (2015): 18–31. http://dx.doi.org/10.12737/8786.

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The methodological approaches to national economic forecasting of industries and markets are considered in this paper. The main attention has been paid to features related to coordination of processes determining by macro- and microeconomic factors. The algorithm of forecasting constructions on the example of ferrous metallurgy has been considered. The main results of the forecasting constructions for short-term and midterm have been presented.

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16

Chevillon, Guillaume, and David F. Hendry. "Non-parametric direct multi-step estimation for forecasting economic processes." International Journal of Forecasting 21, no. 2 (2005): 201–18. http://dx.doi.org/10.1016/j.ijforecast.2004.08.004.

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17

Akaev, Askar, Alexander Zvyagintsev, Tessaleno Devezas, Askar Sarygulov, and Andrea Tick. "Mathematical Models for Forecasting Unstable Economic Processes in the Eurozone." Mathematics 11, no. 21 (2023): 4544. http://dx.doi.org/10.3390/math11214544.

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In an unstable economic climate, all market participants want to know is when is the timing to overcome a recession, and what measures and means to use for economic recovery. In this regard, the process through which the Eurozone economy has gained momentum since the summer of 2022 has been a volatile one. This was reflected in a sharp rise in the price level, followed by a sharp rise in the ECB interest rates. The purpose of this paper is to provide short-term forecasts of the main parameters of monetary and fiscal policy by the euro area monetary authorities, based on a model developed by th

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18

Alfira, Kumratova Elena Popova Lilija Temirova Olga Shaposhnikova. "FORECASTING DEVELOPMENT OF ECONOMIC PROCESSES USING ADAPTED NONLINEAR DYNAMICS METHODS." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES o6, no. 08 (2019): 14628–33. https://doi.org/10.5281/zenodo.3367353.

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<em>In the work, the authors propose using adapted nonlinear dynamics methods to prepare time series data for the forecast procedure in order to identify chaotic dynamics and to select forecast methods and models. Discussion: Each step of the proposed set of methods for data preprocessing allows us to put forward proposals on certain properties of the studied time series. This, in turn, proves that to obtain reliable and reasonable conclusions about the type of behavior of the investigated system, the results of one of the many existing tests are not enough. Results: Conducting a comprehensive

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19

Hilkevics, Sergejs, and Valentina Semakina. "A Comparative Analysis of the Calibrated DSGE Model and SSA Method Results on the Latvian Economy." Economies 13, no. 4 (2025): 94. https://doi.org/10.3390/economies13040094.

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This article examines the theoretical foundations of economic forecasting based on DSGE models. DSGE models are the main direction of contemporary macroeconomics theory—the inclusion of the stochastic processes and expectations of economic agents in the analysis of economic processes made them one of the best economic forecasting tools. The methodological basis of this paper is two approaches of economic forecasting theory: technical analysis and fundamental analysis. In this article, we have performed the calibration of the DSGE model with investment adjustment costs for the Latvian economy a

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20

Bober, Viktoriya, and Dmitriy Valigurskiy. "MAIN DIRECTIONS OF THE METHODOLOGY SOCIO-ECONOMIC FORECASTING." Russian Journal of Management 12, no. 3 (2024): 330–45. https://doi.org/10.29039/2409-6024-2024-12-3-330-345.

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It is difficult to deny the positive significance of forecasting methods in various spheres of human activity at their current stage of development, and especially, taking into account the pace of scientific and technological progress, when applying these methods uses not only accumulated experience and intuition, but also complex mathematical models, the latest information developments and high-tech software. The use of forecasting methods makes it possible to determine the directions and trends in any phenomena or systems, as well as to assess the possibility of changes in any processes, cal

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21

Melnikova, Julia V., and Julia V. Lazhauninkas. "COMPUTER MODELING OF ECONOMIC PROCESSES USING FRACTAL ANALYSIS METHODS." Krasnoyarsk Science 11, no. 4 (2022): 7–23. http://dx.doi.org/10.12731/2070-7568-2022-11-4-7-23.

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The development of modern information and analytical technologies opens up new opportunities for economic analysis and forecasting of market situations. Many technologies of modern financial analysis are based on the efficient market hypothesis, according to which price changes in the securities market in logarithmic coordinates represent a random (Gauss) process. However, studies of the last 30 years show that this is not the case and the usual statistical model is not suitable for analyzing most economic indicators. The effective roar hypothesis is replaced by the fractal theory and the frac

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22

Kashepov, Aleksey. "Economic determinants of fertility forecasting in Russia." Population and Economics 2, no. 4 (2018): 161–86. http://dx.doi.org/10.3897/popecon.2.e36063.

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The article presents the author’s concept of demographic forecasting, which argues that GDP, other macroeconomic and socio-economic (level of life) processes and indices do matter. The purpose of the article is to demonstrate the possibilities of publicly available (which are part of standard mathematic and statistical programs) methods of mathematical statistics to identify economic factors of population reproduction and fertility in particular. The article justifies the possibility of forecasting the total fertility rate (TFR) on the basis of macroeconomic forecasts of the dynamics of the gr

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23

Kashepov, Aleksey. "Economic determinants of fertility forecasting in Russia." Population and Economics 2, no. (4) (2018): 161–86. https://doi.org/10.3897/popecon..e36063.

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The article presents the author's concept of demographic forecasting, which argues that GDP, other macroeconomic and socio-economic (level of life) processes and indices do matter. The purpose of the article is to demonstrate the possibilities of publicly available (which are part of standard mathematic and statistical programs) methods of mathematical statistics to identify economic factors of population reproduction and fertility in particular. The article justifies the possibility of forecasting the total fertility rate (TFR) on the basis of macroeconomic forecasts of the dynamics of the gr

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24

Kashepov, Aleksey. "Economic determinants of fertility forecasting in Russia." Population and Economics 2, no. (4) (2018): 161–86. https://doi.org/10.3897/popecon.2.e36063.

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The article presents the author's concept of demographic forecasting, which argues that GDP, other macroeconomic and socio-economic (level of life) processes and indices do matter. The purpose of the article is to demonstrate the possibilities of publicly available (which are part of standard mathematic and statistical programs) methods of mathematical statistics to identify economic factors of population reproduction and fertility in particular. The article justifies the possibility of forecasting the total fertility rate (TFR) on the basis of macroeconomic forecasts of the dynamics of the gr

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25

Bogacki, Sylwester, Włodzimierz Martyniuk, Jacek Dziwulski, and Agnieszka Sulimierska. "SELLECTED ISSUES OF USING NEURAL NETWORKS FOR MODELING ECONOMIC AND SOCIAL PROCESSES." International Journal of New Economics and Social Sciences 18, no. 2 (2023): 181–94. http://dx.doi.org/10.5604/01.3001.0054.3059.

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The paper aims at the studying of the planning and forecasting process, as well as the formation of a dynamic model of customs revenues to the state budget (on the example of Ukraine).The method-ology of the regression data analysis was used to assess the receipt of customs payments to the budget. The parameters of the regression models are selected by the least squares method. To assess the significance of the regression parameters, their variances and the covariance matrix, the diagonal elements of which are the variance parameters, are calculated. Along with the linear and power model, the

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26

KONONETS, N., Zh KONONENKO, and T. YAKOVENKO. "DIDACTIC PRACTICUM ON THE USE OF FORECASTING METHODS DURING THE STUDY OF THE DISCIPLINE "FORECASTING SOCIO-ECONOMIC PROCESSES" AS A FORM OF RESOURCE-BASED LEARNING." ТHE SOURCES OF PEDAGOGICAL SKILLS, no. 33 (August 20, 2024): 135–42. http://dx.doi.org/10.33989/2075-146x.2024.33.310058.

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In the article, the authors present the developed didactic model of the practice of using forecasting methods during the study of the discipline "Forecasting socio-economic processes", which consists of three blocks: theoretical-analytical, activity-practical, summarizing-resultative. The theoretical-analytical block contains the theoretical material of the discipline "Forecasting socio-economic processes", which is presented in a convenient digitized format in the distance course environment. The content of this block includes the program, general methodical recommendations and a route map of

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27

DEHTIAROVA, YULIIA V., and YURI YEVDOKIMOV. "Data Mining Methods and Models for Social and Economic Processes Forecasting." Mechanism of an economic regulation 2, no. 80 (2018): 34–44. http://dx.doi.org/10.21272/mer.2018.80.03.

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28

Vüqar qızı Həsənli, Münəvvər. "Forecasting the dynamics of economic processes with statistical, harmonic analysis approach." ANCIENT LAND 10, no. 4 (2022): 27–30. http://dx.doi.org/10.36719/2706-6185/10/27-30.

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Ölkələrin əsas məqsədi gələcək nəsillərin ən azı indiki nəsillərin rifah səviyyəsində və hətta daha yüksək rifah səviyyəsində yaşamasına imkan verəcək artım templərinə nail olmaq və saxlamaqdır. Böyümənin qızıl qaydası adlandırdığımız bu cümlə çoxlu siyasət həyata keçirmə və islahatlar tələb edən hissələrə bölünür. Bu mənada böyümə öz-özünə baş verməyən, layihə və dizayn nəticəsində ortaya çıxan bir prosesdir. Bu araşdırmanın məqsədi böyümə nəzəriyyələrinin tarixi prosesdə necə izləndiyini, qavrayış yolu kimi yeni anlayışda nələrin dəyişdiyini və bu dəyişikliyin əsas prinsiplərini izah etməkdi

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29

Zavgorodniy, A. I., D. A. Levkin, Ya M. Kotko, and A. V. Levkin. "ECONOMIC AND MATHEMATICAL MODELING OF PROBABILITY RISK FORECASTING OF TECHNOLOGICAL PROCESSES." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences, no. 4 (2021): 66–70. http://dx.doi.org/10.32838/2663-5941/2021.4/10.

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30

Bidyuk, Petro I., Lev O. Korshevnyuk, Aleksandr P. Gozhyi, Irina O. Kalinina, Tatyana I. Prosyankina-Zharova, and Oleksandr M. Terentiev. "MODELING AND FORECASTING FINANCIAL AND ECONOMIC PROCESSES WITH DECISION SUPPORT SYSTEM." KPI Science News, no. 5-6 (October 15, 2019): 7–17. http://dx.doi.org/10.20535/kpi-sn.2019.5-6.176835.

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31

A, Kaliuzhniak. "Artificial intelligence application in the forecasting of economic model." Artificial Intelligence 28, AI.2023.28(2)) (2023): 88–93. http://dx.doi.org/10.15407/jai2023.02.088.

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Due to the rapid growth of artificial intelligence (AI), there are active discussions whether it produces a positive effect on economic development. However, there is vague understanding of what role and place artificial intelligence technology actually plays in economic development. This article will review the research focused on the creation of economic model forecasting software and discussion of the intersection of artificial intelligence and economic development. In particular, the existing research in the field of economic modeling was analyzed applying the bibliometric tool Bibliometri

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32

Hnatenko, Valeriy. "Forecasting personal response to economic state crises." Public administration aspects 8, no. 6 (2020): 6–15. http://dx.doi.org/10.15421/1520100.

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The article examines the concepts of "crisis", "crisis state", "economic crisis", the main characteristics of the crisis, considers the possible options for the behavior of the subject in a crisis state, namely constructive and destructive. The course of the 2008 economic crisis, which manifested itself in a massive drop in production, a drop in demand and prices for raw materials, an increase in unemployment, and a spread to the monetary, fiscal, and social areas, has worsened the social welfare and expectations of businesses and ordinary citizens have been analyzed. The crisis affected not o

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33

Stebliuk, Nataliia, Nataliia Volosova, Natalia Nebaba, Olena Yudina, Maxim Korneyev, and Fedir Zhuravka. "ECONOMIC TRENDS FORECASTING IN THE DEVELOPMENT OF HOTEL BUSINESS ENTERPRISES." Financial and credit activity problems of theory and practice 5, no. 46 (2022): 182–93. http://dx.doi.org/10.55643/fcaptp.5.46.2022.3876.

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The article substantiates and proves the expediency of using economic-mathematical modeling for the formation of a forecast of economic trends and identification of probable ways of development of socio-economic phenomena and processes. These circumstances determine the relevance of in-depth research into the process of forecasting using mathematical methods and evaluation of the adopted decision.The purpose of the work is the use of modern tools of analytical and simulation economic-mathematical modeling for forecasting the development trends of economic entities in conditions of uncertainty.

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Spankulova, L. S., and Z. K. Chulanova. "Demographic processes in Kazakhstan: current trends and forecasting the future development." Bulletin of "Turan" University, no. 3 (October 10, 2022): 60–71. http://dx.doi.org/10.46914/1562-2959-2022-1-3-60-71.

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The economic development of any country depends on the nature of demographic processes. The size of the population and its composition directly affect the scale of production, demographic processes – fertility, mortality, migration – largely depend on the socio-economic situation and the living standard of the population. The research aims to assess the current state of demographic processes in Kazakhstan and forecast their development until 2050. The article gives a brief description of the demographic development over the years of independence, identifying 3 main stages different in their dy

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35

Кононова, Е. С., Д. Е. Жидков, В. С. Громов, А. С. Мутовина, and Д. Д. Чернова. "Forecasting retrospective processes in construction based on statistical methods." Экономика и предпринимательство, no. 10(123) (November 15, 2020): 116–20. http://dx.doi.org/10.34925/eip.2020.123.10.018.

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Для прогнозирования и моделирования социально-экономических процессов в России в условиях перехода к рыночной экономике наиболее пригодны статистические модели, основанные на существующих тенденциях и изменениях макроэкономических показателей. Модели прогнозирования могут быть краткосрочными и долгосрочными. В связи с высокой неопределенностью экономической политики России предпочтение отдается краткосрочным прогнозам. В краткосрочном прогнозе используются только монетарные переменные, такие как индексы цен, скорость денежного обращения, дефицит бюджета и прямые иностранные инвестиции. Перемен

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Ulanchuk, V., E. Zharun, N. Korotieiev, A. Nepochatenko, and S. Sokoliuk. "Econometric approaches to forecasting financial support of socio-economic development of the region." Collected Works of Uman National University of Horticulture 2, no. 99 (2021): 163–71. http://dx.doi.org/10.31395/2415-8240-2021-99-2-163-171.

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In the given article it is noted that the level of forecasting of processes of social development is determined by the efficiency of planning and management of economy and other spheres. Social and economic forecasting of basic trends of social development allows use of special calculation and logic methods, giving the opportunity to determine parameters of functioning of separate elements of productive forces in their interrelation and interdependence. At the current stage of regional development of the state, the forecasting of the management of social-economic processes in the region is urg

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37

Maia Shevardenidze, Maia Shevardenidze. "Fractals and Forecasting of Economic Cycles." Economics 105, no. 09-10 (2022): 32–39. http://dx.doi.org/10.36962/ecs105/9-10/2022-32.

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For many centuries, scientists have used classical methods of calculation in the process of exploring and modeling the universe. And such functions that did not carry the proper smoothness or regularity were often considered as pathologies and were not given much attention. The fractal geometry of Benoit Mandelbrot deals with the study of such irregular sets. The basic concept of fractal geometry is a fractal, the origin of which is associated with computer modeling. With the help of fractals, it was possible to describe the glow of the sky during a thunderstorm, the dynamics of the growth of

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Дегтярьова, О. В. "ОРГАНІЗАЦІЙНО-ЕКОНОМІЧНИЙ МЕХАНІЗМ ПОБУДОВИ ПРОГНОЗІВ ВИРОБНИЧО-ГОСПОДАРСЬКОЇ ДІЯЛЬНОСТІ ПІДПРИЄМСТВ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 3 (18 жовтня 2019): 6–14. http://dx.doi.org/10.32620/cher.2019.3.01.

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Formulation of the problem. For many decades, forecasting has been a debating issue, explained by the economic-historical context that defines the organizational and economic mechanism of forecasting. The purpose of the article is to develop an organizational and economic mechanism for making forecasts of production and economic activity of enterprises and to evaluate its effectiveness. The subject of the research is the organizational and economic mechanism for the construction of prognosis of industrial enterprises. The working hypothesis of the research includes the idea that the requiremen

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Omondi, Felix. "The Use of AI in Economic Forecasting." International Journal of Economic Policy 5, no. 3 (2025): 61–75. https://doi.org/10.47941/ijecop.2990.

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Purpose: The general objective of this study was to investigate the use of AI on the accuracy of economic forecasting. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This se

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Ramazanov, Ruslan. "Agent modeling in research and forecasting of socio-economic systems and processes." Economics and the Mathematical Methods 57, no. 1 (2021): 19. http://dx.doi.org/10.31857/s042473880010550-4.

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Fursova, Tamara I., and Zoya V. Burinskaya. "System of Simulation for Analyzing and Forecasting Development of Socio-Economic Processes." Journal of Automation and Information Sciences 31, no. 7-9 (1999): 52–57. http://dx.doi.org/10.1615/jautomatinfscien.v31.i7-9.270.

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Fukuda, Kosei. "Detection of regime switches between stationary and nonstationary processes and economic forecasting." Journal of Forecasting 24, no. 4 (2005): 255–67. http://dx.doi.org/10.1002/for.941.

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Roskladka, Andrii, Nataliia Roskladka, Anatolii Karpuk, Andriy Stavytskyy, and Ganna Kharlamova. "The data science tools for research of emigration processes in Ukraine." Problems and Perspectives in Management 18, no. 1 (2020): 70–81. http://dx.doi.org/10.21511/ppm.18(1).2020.07.

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The process of world globalization, labor, and academic mobility, the visa-free regime with the EU countries have caused a significant revival of migration processes in Ukraine. However, there is still the research gap in the most informative, and, at the same time, accurate method of the assessment and forecasting of the migration flows. Thus, the object of research is migration processes (mostly emphasizing the emigration flows). The motives, causes of emigration processes, and their relationship with the economic state were analyzed. The impact factors of external labor migration on the eco

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Astafyeva, Olga E. "Methodology of Forecasting Business Processes in Industry in the Formation of Competitive Advantages in the Context of Ecosystem Interaction." Journal of Modern Competition 19, no. 1 (2025): 91–107. https://doi.org/10.37791/2687-0657-2025-19-1-91-107.

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The article is devoted to the consideration of the methodology for forecasting business processes in industry in the modern economic conditions formed as a result of the digitalization of the economy. Approaches to ensuring the competitiveness of industrial enterprises based on forecasting the development of business processes are analyzed. The article presents a detailed description of business processes in ensuring consistent business operations aimed at development and continuous improvement for their subsequent structuring in the integration interactions of economic entities. It is noted t

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Baghaturia, Giorgi. "Judgmental Macroeconomic Forecasting on the Basis of Probability Estimation of the Economic Indicators." Journal of Business 3, no. 2 (2015): 5–8. http://dx.doi.org/10.31578/.v3i2.87.

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The paper deals with the opportunity of Judgmental Macroeconomic Forecasting for the behavior of the economic systems and processes on the basis of the estimation of a priori, a posterior and conditional probabilities of the relevant economic indicators. This approach shows a path of economic crisis forecasting that should be an essential tool for policy makers in order to avoid or to mitigate the consequences of a possible economic crisis. The method will be especially useful for small countries with transient economy in order to create an optimal strategy of country’s development during the

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Pingfen Liu. "Time Series Analysis and Algorithm for Fluctuation Pattern Recognition and Forecasting of Economic Indicators." Journal of Electrical Systems 20, no. 6s (2024): 812–16. http://dx.doi.org/10.52783/jes.2746.

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This study examines the use of artificial neural network (ANN) algorithms in machine learning for recognizing fluctuation patterns and forecasting economic indicators in the field of political economy. In today's changing global economic scene, economic forecasting is critical for informing policy decisions, directing strategic planning, and managing risks. Traditional statistical approaches and time series analysis have long been used for this purpose, but the advent of ANN algorithms provides a new way to capture the intricate dynamics of economic systems. Using ANNs' intrinsic flexibility a

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Taukesheva, Tatiana, Galina Daudova, and Roman Piskunov. "BUDGET MANAGEMENT IN THE CONDITIONS OF GLOBALIZATION PROCESSES." 63, no. 63 (July 10, 2022): 94–103. http://dx.doi.org/10.26565/2524-2547-2022-63-09.

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Abstract. In this article we prove that globalization processes lead to uncertainty of future macroeconomic indicators of the state. This makes complicated the effective management of financial resources and requires the implementation of measures aimed at the modernization of budget management. We determined that the lack of budget strategy in the context of globalization of economic processes, which are combined with external and internal risks, requires further modernization of economic methods of management. We substantiated that one of the directions of strengthening the country's economy

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FILIN, Sergei A., and Aleksei Zh YAKUSHEV. "Design of innovative processes." National Interests: Priorities and Security 20, no. 2 (2024): 352–67. http://dx.doi.org/10.24891/ni.20.2.352.

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Subject. The article deals with allocation of scarce resources, problems of forecasting, risk management. Objectives. The aim is to search for optimal methods of detailed elaboration of strategic objectives, forms of joint participation of scientific and industrial organizations in innovation activities. Methods. The study employs methods of comparative, structural, and logical analysis are applied. Results. Innovative design should take into account the uncertainty of the economic situation. A number of sections of innovation project should be developed in several versions, based on forecasts

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ВАФИН, Л. Р., Э. Р. БАЛЯВИНА, and Л. Ф. ЯРУЛЛИНА. "BASIC STATISTICAL METHODS AND MODELS OF SOCIO-ECONOMIC FORECASTING." Экономика и предпринимательство, no. 11(148) (May 13, 2023): 325–31. http://dx.doi.org/10.34925/eip.2022.148.11.062.

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В рамках данной статьи в систематизированном виде рассматриваются актуальные и наиболее применимые в практике статистические методы и модели прогнозирования социально – экономических процессов. Подробным образом описаны основные характеристики качества и применимости моделей и методов, позволяющих получать адекватные и относительно точные прогнозы. Within the framework of this article, the most relevant and most applicable in practice statistical methods and models for forecasting socio-economic processes are considered in a systematic way. The main characteristics of the quality and applicabi

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Homburg, Annika, Christian H. Weiß, Gabriel Frahm, Layth C. Alwan, and Rainer Göb. "Analysis and Forecasting of Risk in Count Processes." Journal of Risk and Financial Management 14, no. 4 (2021): 182. http://dx.doi.org/10.3390/jrfm14040182.

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Risk measures are commonly used to prepare for a prospective occurrence of an adverse event. If we are concerned with discrete risk phenomena such as counts of natural disasters, counts of infections by a serious disease, or counts of certain economic events, then the required risk forecasts are to be computed for an underlying count process. In practice, however, the discrete nature of count data is sometimes ignored and risk forecasts are calculated based on Gaussian time series models. But even if methods from count time series analysis are used in an adequate manner, the performance of ris

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