Publication: Fractalidad implícita en el comercio internacional
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Lagunas Puls, Sergio
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Universidad Pablo de Olavide
Abstract
El objetivo de este trabajo es determinar si las operaciones de comercio internacional, despachadas por las aduanas marítimas de México, presentan características fractales con memoria de largo plazo. Para estimar el exponente de Hurst (H), se empleó el método de rango escalado (R/S) aplicado a 1,700 datos agrupados por cada aduana del país, considerando como hipótesis que se presenta memoria de largo plazo cuando H sea igual o mayor a 0.5 y menor o igual a 1. Los resultados permiten afirmar que sí existe memoria de largo plazo, con lo cual las autoridades podrían administrar más eficientemente los recursos asignados a las aduanas marítimas del país
In this paper, the objective is to determine whether international trade operations, cleared by maritime customs in Mexico, present fractal characteristics with long term memory. To estimate the Hurst exponent (H), the scaled rank method (R/S) was applied to 1,700 data grouped by each customs office in the country, considering as a hypotheses that long-term memory is present when H is equal or greater than 0.5 and less than or equal to 1. The results allow affirming that long-term memory does exist, with which the authorities could manage more efficiently the resources assigned to the country's maritime customs offices.
In this paper, the objective is to determine whether international trade operations, cleared by maritime customs in Mexico, present fractal characteristics with long term memory. To estimate the Hurst exponent (H), the scaled rank method (R/S) was applied to 1,700 data grouped by each customs office in the country, considering as a hypotheses that long-term memory is present when H is equal or greater than 0.5 and less than or equal to 1. The results allow affirming that long-term memory does exist, with which the authorities could manage more efficiently the resources assigned to the country's maritime customs offices.
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Revista de métodos cuantitativos para la economía y la empresa, ISSN-e 1886-516X, Vol. 33, 2022, págs. 226-241




