Funções afim como ferramenta para análise e previsão: uma aplicação didática em cotações euro-dólar

Abstract

This study explores mathematical modeling through linear functions, focusing on their application for forecasting Euro-Dollar exchange rates. The research aims to bridge a gap by developing an approach that integrates concepts of mathematical modeling, particularly linear functions, to analyze and predict fluctuations in Euro-Dollar currency pair quotes. Since mathematical modeling is an essential tool for understanding complex phenomena and linear functions provide a flexible framework for representing linear relationships between variables, this study emphasizes the application of these functions in the analysis of historical Euro-Dollar exchange rate data, with the goal of predicting future trends. The methodology employed follows quantitative guidelines, employing statistical techniques to fit linear function models to historical data. Additionally, the inclusion of an educational application is considered to facilitate the understanding of these concepts, promoting an educationally effective approach. The results obtained demonstrate the utility of modeling with linear functions in forecasting Euro-Dollar exchange rates, providing valuable insights for financial analysts and researchers. The contribution of this study not only lies in the practical application of these mathematical tools, but also in the emphasis on education, promoting a deeper and more accessible understanding of the complexities of exchange rate quotes. This work aims to provide a solid foundation for future research at the intersection of mathematical modeling, linear functions, and forecasting in financial contexts, contributing to the advancement of knowledge in this specific area.