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Estimación del riesgo sistemático de las acciones del ipecu y aplicación de modelos de heteroscedasticidad condicional autorregresiva

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dc.contributor.author Hidalgo Andrade, Juan Eduardo
dc.contributor.author Gonzaga Gonzaga, David
dc.contributor.author Aguilera Chuchuca, Alex
dc.contributor.author Tobalina Ditto, Constantino Francisco
dc.date.accessioned 2009-05-05
dc.date.available 2009-05-05
dc.date.issued 2009-05-05
dc.identifier.uri http://www.dspace.espol.edu.ec/handle/123456789/4928
dc.description.abstract The objective of this paper is estímate both the asset’s sistematic risk from IPECU and the relation between self returns and market returns measured by the 􀟚 parameter form the classical CAPM model. The origina lestimations was regressed by Ordinary Least Squares giving good outcomes about the 􀟚 significance. Afterwards in order to describe effectively the economic behavior of financial market, we use th Box-Jenkins and Engle’s methodology well kown as Autorregresive Conditional Heteroskedasticity Model, which consists in leaving the homoskedasticity assumption and explain the series’s disturbances based on its lagged and after introduce the estimated disturnaces’s volatitily in the expression that explainthe stock’s returns. In analysis regression we find that companies’s returns could be modelated using an ARCH process being the Cervezería Nacional the company which shows the best results in the risk estimation and the description of the behavior of its returns.The objective of this paper is estímate both the asset’s sistematic risk from IPECU and the relation between self returns and market returns measured by the 􀟚 parameter form the classical CAPM model. The origina lestimations was regressed by Ordinary Least Squares giving good outcomes about the 􀟚 significance. Afterwards in order to describe effectively the economic behavior of financial market, we use th Box-Jenkins and Engle’s methodology well kown as Autorregresive Conditional Heteroskedasticity Model, which consists in leaving the homoskedasticity assumption and explain the series’s disturbances based on its lagged and after introduce the estimated disturnaces’s volatitily in the expression that explainthe stock’s returns. In analysis regression we find that companies’s returns could be modelated using an ARCH process being the Cervezería Nacional the company which shows the best results in the risk estimation and the description of the behavior of its returns. en
dc.language.iso spa en
dc.rights openAccess
dc.subject RIESGO SISTEMATICO en
dc.subject MODELOS ARCH en
dc.title Estimación del riesgo sistemático de las acciones del ipecu y aplicación de modelos de heteroscedasticidad condicional autorregresiva en
dc.type Article en


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