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Modelación estocástica multifactorial de los precios futuros de commodities agrícolas y su estimación mediante el filtro de Kalman

Authors: Fainé Reuss, Francisco Ignacio;

Modelación estocástica multifactorial de los precios futuros de commodities agrícolas y su estimación mediante el filtro de Kalman

Abstract

Tesis (Magíster en Ciencias de la Ingeniería)--Pontificia Universidad Católica de Chile, 2010 ; El objetivo de esta investigación es proponer y estimar un modelo dinámico que, sólo a partir de la información de precios, permita explicar el comportamiento estocástico de los precios futuros de commodities agrícolas, los que al ser producidos sólo en ciertos períodos del año, presentan un comportamiento más complejo que el de otros commodities con patrón estacional. En particular, utilizando un enfoque multifactorial (Cortázar & Naranjo, 2006) y la metodología de la estimación conjunta propuesta por Cortázar, Milla & Severino (2008), el modelo intra-commodity propuesto considera que los precios son explicados por un conjunto de factores comunes a todos los contratos disponibles (es decir, independiente del período de oferta en que vencen), y otros factores que individualmente explican las diferencias de precios entre los contratos que vencen en distintos períodos de oferta. Usando el filtro de Kalman para estimar los parámetros, el modelo logra un buen ajuste cuando es aplicado a los precios futuros de maíz y trigo transados en Chicago Board of Trade (CBOT), en comparación con otros modelos desarrollados en la literatura.

Country
Chile
Keywords

330, Filtración kalman, Mercado a futuros, Economía, Productos agrícolas

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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