Journal of International Economics Research
Journal DOI
3070-5665ISSN (Online)
Forecasting of the financial performance is significant mainly for the purpose of strategy formulation and identification of potential problems in banking institutions. This paper presents a new model of a predictive model for financial forecasting called the Dual-Bank Hybrid Predictive Model which consists of a Multiple Linear Regression and Random Forest Regression. This model is also validated on two actual financial datasets of Agrobank and NBU Bank from the year 2021 to 2025. It also relies on the analysis of such financial ratiosas Net profit, Equity, and Solvency which have been forecasted up to the year 2027. Specifically, while the DBHPM consists of linear modeling through MLR in the first step, and then, nonlinear residuals thru RFR in the second step of the analysis, the former provides increased generalizations and predictive strength as compared to the later stage solely. The experimental results show that DBHPM minimizes MAE and RMSE achieving the coefficient of determination (R2) amounting to 0.95 and above if compared to the models trained independently. Statistical modelling shows that the two banks go up with Agrobank at approximately 1.18 billion sum and NBU Bank at 3.66 billion sum of the net profit by the end of 2027. The outlined hybrid model presents the possibility of better predictive analytics financial modelling in the banking industry for purposes of, decision-making, risk alertness, and economic forecast.
Read MoreDoi: https://doi.org/10.54216/JIER.030205
Vol. 3 Issue. 2 PP. 35-45, (2026)
The rapid development of digital technologies and artificial intelligence has significantly transformed the modern corporate environment. Artificial intelligence is increasingly used by companies to automate business processes, improve decision-making, and enhance operational efficiency. Therefore, studying the economic effects of AI adoption in the corporate sector has become highly relevant, especially for countries undergoing digital transformation such as Uzbekistan. The aim of this article is to analyze the economic impact of artificial intelligence adoption in the corporate sector and evaluate its influence on corporate productivity, operational efficiency, and profitability. The research is based on a quantitative analytical approach, including statistical analysis, comparative analysis, and case study methods. The empirical analysis was conducted using a sample of 30 companies from sectors such as banking, telecommunications, manufacturing, and information technology. The results show that companies implementing AI technologies demonstrate higher labor productivity (95,200 USD revenue per employee) compared to companies without AI adoption (71,400 USD). In addition, AI-adopting firms show lower operational costs (38% vs. 46%) and higher profitability indicators (ROA 11.8% compared to 7.4%). The findings confirm that artificial intelligence contributes to improving corporate efficiency and competitiveness. The practical significance of the study lies in providing evidence that AI adoption can support the development of the digital economy and enhance corporate performance in Uzbekistan.
Read MoreDoi: https://doi.org/10.54216/JIER.030201
Vol. 3 Issue. 2 PP. 01-08, (2026)
The rapid development of digital technologies has significantly transformed labor markets and created new forms of employment organization. One of the most important trends in the digital economy is the expansion of remote employment, which allows employees to perform professional tasks outside traditional workplaces. The relevance of this study is determined by the growing importance of remote work and its potential macroeconomic effects on labor markets, productivity, and economic development. The aim of this article is to analyze the macroeconomic implications of remote employment and evaluate its role in the transformation of the labor market in Kazakhstan. The research is based on a quantitative analytical approach, including statistical and comparative analysis of employment data. The empirical study covered 24 organizations across four economic sectors, including information technology, finance, education, and professional services. The results show that the share of remote employees varies between 27.8% and 48.5% depending on the sector, with the highest level observed in the information technology industry. At the national level, the number of remote workers in Kazakhstan reached approximately 46,700 employees, representing about 0.5% of the total employed population. The findings indicate that remote employment contributes to increased labor flexibility and productivity in digitally intensive sectors. The study highlights the importance of developing digital infrastructure and improving digital skills to support the expansion of remote employment and strengthen the digital economy.
Read MoreDoi: https://doi.org/10.54216/JIER.030202
Vol. 3 Issue. 2 PP. 09-15, (2026)
The stability of global food markets has become a critical factor influencing national food security in many countries. In recent years, global food systems have experienced significant volatility due to economic globalization, climate change, geopolitical conflicts, and disruptions in international supply chains. These factors have increased the vulnerability of national food systems, particularly in countries that depend heavily on imported agricultural products. Therefore, studying the relationship between global food markets and national food security is highly relevant for ensuring sustainable economic and social development. The aim of this article is to analyze the impact of global food market dynamics on national food security and to evaluate the relationship between international food trade, food price volatility, and national food supply stability. The research is based on a quantitative analytical approach, including statistical analysis and comparative analysis of international food security indicators. The empirical analysis covers a sample of 20 countries, including 12 food-import-dependent countries and 8 agricultural exporting countries. The results show that the average Food Import Dependency Ratio reached 54.2% in import-dependent countries, while the average Global Food Security Index score was 62.4 compared with 71.8 in exporting countries. The study also identified significant volatility in the FAO Food Price Index, which increased from 98.1 in 2020 to 143.7 in 2022. The findings confirm that strengthening domestic agricultural production while maintaining balanced participation in global food markets can significantly improve national food security and enhance the resilience of food systems.
Read MoreDoi: https://doi.org/10.54216/JIER.030203
Vol. 3 Issue. 2 PP. 16-23, (2026)
Although research on digital banking monetization with financial performance is growing, few studies have focused on the sustainability of bank earnings through the perspective of digital revenue models. The purpose of this study is to examine the role of digital banking monetization and platform transaction income in achieving earnings sustainability in responding to the digital banking transformation. Collected banking data were subjected to a detailed regression analysis to estimate the conditional probability that a bank has a sustainable earnings structure, given the presence of one or more of its digital banking services. In order to analyze digital monetization and earnings sustainability while also including selection-related factors, certain financial indicators and control variables were combined with the dataset set defined by the sample selection process, which resulted in the Heckman selection model. The results show that banks’ favorable perceptions of the profitability of their digital banking services show digital monetization positively influences the formation of their earnings stability through the mediating effect of digital transaction income toward interest income diversification, fee-based revenues, and platform service charges. The results also show the positive impact of digital transaction revenues and platform service income on earnings stability during the digital banking expansion period. Moreover, understanding the contribution of digital banking monetization for earnings sustainability in relation to the platform-based model of banking is a contribution to financial research that may help future banks achieve faster digital transformation.
Read MoreDoi: https://doi.org/10.54216/JIER.030204
Vol. 3 Issue. 2 PP. 24-34, (2026)