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SCIENTIFIC ANALYSIS OF RESEARCH ON FINANCIAL PLANNING
Jamshid Pardayev

This article analyzes scientific research conducted in the field of financial planning and highlights their theoretical and practical aspects. The role of financial planning in economic processes, its tasks at the strategic and tactical levels, and its impact on the financial stability of enterprises were analyzed on a scientific basis. Also, based on the experience of foreign countries, modern methods of financial planning, including budgeting, financial modeling, scenario analysis, and risk management, were studied. The results of the analysis show that financial planning is an important management tool that ensures economic growth and stability. Its effectiveness is directly related to the use of a correct information base, advanced accounting methods, and international standards.

09/29/2025
  • PDF (Uzbek)
170-179 192 72
THE ROLE OF NEURAL NETWORKS IN ECONOMETRIC MODELING AND FINANCIAL DECISION-MAKING
Shoxrux Mirzayev

This article examines the transformative role of neural networks in econometrics and financial decision-making, emphasizing their influence on personal finance, automation, healthcare, transportation, and human-computer interaction. Neural networks, inspired by the structure of the human brain, have the potential to revolutionize these sectors by enhancing efficiency, accuracy, and decision-making capabilities. In personal finance, they can optimize budgeting, savings, and expenditure management through automated models such as the McCulloch-Pitts neuron. In healthcare, neural networks improve diagnostic capabilities and enable predictive treatment. The article also highlights the applications of neural networks in econometrics to analyze financial patterns, detect fraud, and manage risks more effectively. However, it also addresses the ethical concerns related to data privacy, security, and biases in algorithmic decision-making, stressing the importance of responsible development. Ultimately, it concludes that, despite the challenges, the benefits of integrating neural networks into econometric models and financial systems are substantial and indispensable for modern advancements.

11/29/2024
  • PDF
185-190 169 69
WAYS TO IMPROVE FINANCIAL INJECTIONS INTO ISLAMIC FINANCE
Sherbek Saipnazarov

In the article, aimed at determining the role of Islamic financial engineering in economic development and macroeconomic indicators, it is the disclosure of the role of the Islamic financial system and other financial systems in the economic activity of countries through modeling.

06/27/2023
  • PDF (Uzbek)
271-275 168 65
ECONOMETRIC MODELING OF FINANCIAL STABILITY INDICATORS OF BANKS
Nilufar Sharipova

The article analyzes the indicators of financial stability of banks and the econometric relationship between the national economy. Based on the correlation of the gross domestic product of the country and the indicators of financial stability of banks, an econometric model is formed and the corresponding conclusions are given.

09/07/2023
  • PDF (Uzbek)
239-245 204 128
APPLICATION OF PROBABILITY THEORY IN ECONOMICS
Jakhongir Kuljanov, Shakhnoza Samandarova

This article discusses the application of probability theory in economics. Probability theory is an important tool for accounting for uncertainties and assessing risks in various economic processes. The article provides detailed information on the application of this theory in risk management, insurance and investment, market analysis and game theory. With the help of probability theory, the possibilities of preliminary assessment of economic events and making optimal decisions are studied. This article shows the importance of using probability theory in economic analysis and decision making.

08/30/2024
  • PDF (Uzbek)
109-115 268 89
GREEN INNOVATION AND DIGITIZATION: A CATALYST FOR SUSTAINABLE DEVELOPMENT IN UZBEKISTAN
Gabriel Ayodeji

The increasing global focus on sustainable development has prompted a growing interest in understanding the roles of green innovation and digitization in fostering economic, environmental, and social sustainability, particularly within emerging economies like Uzbekistan.This study employs Structural Equation Modeling (SEM) to investigate the pivotal roles of green innovation and digitization in fostering sustainable development within the context of Uzbekistan, emblematic of challenges and opportunities for emerging economies. Through a comprehensive conceptual analysis, the research assesses the impact of these initiatives on economic growth, environmental conservation, and social equity. The findings reveal significant contributions of green innovation and digitization to sustainable development, manifested in heightened economic efficiency, reduced environmental degradation, and enhanced social well-being. Emphasizing the indispensability of institutional support, financial incentives, and stakeholder engagement, the study underscores the imperative for effective adoption and integration of sustainable practices and technologies.

07/31/2024
  • PDF
39-54 206 93
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