MATHEMATICAL METHODS IN ECONOMICS AND FINANCE

The article is devoted to the study of the possibilities of mathematical methods and models that allow solving economic and financial problems. The issues of mathematical modeling in economics, solving financial problems through mathematical methods are considered. The author proves that studying economics using mathematical methods and models is more effective than using only theoretical apparatus. The language of mathematics allows us to substantiate economic phenomena that are important and necessary in economics. The use of mathematical applications to economic and financial issues has led to the introduction of mathematical models in applied mathematics, where the essence of economic relationships has been found. In modern conditions, solving economic problems is impossible without using knowledge in the field of mathematics, which serves as an impetus for the relationship between these two scientific areas. This provides great opportunities for data analysis, forecasting, decisionmaking, and optimization of economic processes. Mathematical models allow describing and predicting economic phenomena such as gross domestic product (GDP) growth, inflation, unemployment, etc. They allow us to understand how various factors affect the economy and what measures can be taken to stimulate or adjust it. Mathematical analysis methods help in data analysis, forecasting, decisionmaking, and process optimization. Mathematical models allow describing and predicting economic phenomena such as gross domestic product (GDP) growth, inflation, unemployment, etc. They allow us to understand how various factors affect the economy, and what measures can be taken to stimulate or adjust it.

Publication Details

Journal
SOFT MEASUREMENTS AND COMPUTING
Published
2025-01-01
DOI
https://doi.org/10.36871/2618-9976.2025.05.009
Primary Topic
Economic Development and Digital Transformation
Type
article
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MATHEMATICAL METHODS IN ECONOMICS AND FINANCE

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SOFT MEASUREMENTS AND COMPUTING
Economic Development and Digital Transformation
article

MATHEMATICAL METHODS IN ECONOMICS AND FINANCE

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Abstract

The article is devoted to the study of the possibilities of mathematical methods and models that allow solving economic and financial problems. The issues of mathematical modeling in economics, solving financial problems through mathematical methods are considered. The author proves that studying economics using mathematical methods and models is more effective than using only theoretical apparatus. The language of mathematics allows us to substantiate economic phenomena that are important and necessary in economics. The use of mathematical applications to economic and financial issues has led to the introduction of mathematical models in applied mathematics, where the essence of economic relationships has been found. In modern conditions, solving economic problems is impossible without using knowledge in the field of mathematics, which serves as an impetus for the relationship between these two scientific areas. This provides great opportunities for data analysis, forecasting, decisionmaking, and optimization of economic processes. Mathematical models allow describing and predicting economic phenomena such as gross domestic product (GDP) growth, inflation, unemployment, etc. They allow us to understand how various factors affect the economy and what measures can be taken to stimulate or adjust it. Mathematical analysis methods help in data analysis, forecasting, decisionmaking, and process optimization. Mathematical models allow describing and predicting economic phenomena such as gross domestic product (GDP) growth, inflation, unemployment, etc. They allow us to understand how various factors affect the economy, and what measures can be taken to stimulate or adjust it.

SOFT MEASUREMENTS AND COMPUTINGVol. 5(90)
Decent work and economic growth
Openalex Percentile: Top 78%
Economic Development and Digital Transformation
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MATHEMATICAL METHODS IN ECONOMICS AND FINANCE · SOFT MEASUREMENTS AND COMPUTING (2025) | TGRS Research Map | TGRS