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Autori principali: Pinheiro, Mario R., Pinheiro, Mario J.
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2504.06286
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author Pinheiro, Mario R.
Pinheiro, Mario J.
author_facet Pinheiro, Mario R.
Pinheiro, Mario J.
contents The proposed framework introduces a novel multidimensional representation of money using tensor analysis, enabling a more granular examination of economic interactions and capital flow. By treating money as a multidimensional entity, this approach allows for detailed tracking and modeling of sectoral, temporal, and agent-based dynamics. This enhanced perspective facilitates the design of adaptive economic policies that can effectively respond to evolving macroeconomic conditions, ensuring resilience and inclusivity in financial systems. Furthermore, the tensor-based modeling framework bridges traditional economic analyses with advanced computational techniques, offering a robust foundation for algorithmic governance and data-driven decision-making in complex economies.
format Preprint
id arxiv_https___arxiv_org_abs_2504_06286
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Money as a Tensor
Pinheiro, Mario R.
Pinheiro, Mario J.
General Finance
The proposed framework introduces a novel multidimensional representation of money using tensor analysis, enabling a more granular examination of economic interactions and capital flow. By treating money as a multidimensional entity, this approach allows for detailed tracking and modeling of sectoral, temporal, and agent-based dynamics. This enhanced perspective facilitates the design of adaptive economic policies that can effectively respond to evolving macroeconomic conditions, ensuring resilience and inclusivity in financial systems. Furthermore, the tensor-based modeling framework bridges traditional economic analyses with advanced computational techniques, offering a robust foundation for algorithmic governance and data-driven decision-making in complex economies.
title Money as a Tensor
topic General Finance
url https://arxiv.org/abs/2504.06286