This chapter invites us to reconsider how we approach monetary variables in financial modeling. While these variables are fundamental to understanding financial behavior, they often present challenges that can complicate analysis and fail to convey meaningful information. Here, we explore an alternative perspective—using ratios and frequencies—to better capture the relationships among monetary variables and the dynamics within financial data. This approach ultimately allows us to quantify the relative importance of various aspects of daily life, offering deeper insights into the priorities and commitments that define a customer's financial behavior.

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  • Saul Rodrigo Alvarez Zapiain

摘要

This chapter invites us to reconsider how we approach monetary variables in financial modeling. While these variables are fundamental to understanding financial behavior, they often present challenges that can complicate analysis and fail to convey meaningful information. Here, we explore an alternative perspective—using ratios and frequencies—to better capture the relationships among monetary variables and the dynamics within financial data. This approach ultimately allows us to quantify the relative importance of various aspects of daily life, offering deeper insights into the priorities and commitments that define a customer's financial behavior.