dc.contributorBayes Rodríguez, Cristian Luis
dc.creatorLengua Lafosse, Patricia
dc.date2015-07-17T15:34:04Z
dc.date2015-07-17T15:34:04Z
dc.date2015
dc.date2015-07-17
dc.identifierhttp://hdl.handle.net/20.500.12404/6167
dc.descriptionThis paper represents empirical studies of stochastic volatility (SV) models for daily stocks returns data of a set of Latin American countries (Argentina, Brazil, Chile, Mexico and Peru) for the sample period 1996:01-2013:12. We estimate SV models incorporating both leverage effects and skewed heavy-tailed disturbances taking into account the GH Skew Student’s t-distribution using the Bayesian estimation method proposed by Nakajima and Omori (2012). A model comparison between the competing SV models with symmetric Student´s t-disturbances is provided using the log marginal likelihoods in the empirical study. A prior sensitivity analysis is also provided. The results suggest that there are leverage effects in all indices considered but there is not enough evidence for Peru, and skewed heavy-tailed disturbances is confirmed only for Argentina, symmetric heavy-tailed disturbances for Mexico, Brazil and Chile, and symmetric Normal disturbances for Peru. Furthermore, we find that the GH Skew Student s t-disturbance distribution in the SV model is successful in describing the distribution of the daily stock return data for Peru, Argentina and Brazil over the traditional symmetric Student´s t-disturbance distribution.
dc.languageeng
dc.publisherPontificia Universidad Católica del Perú
dc.publisherPE
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Perú
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/2.5/pe/
dc.subjectEstadística bayesiana
dc.subjectAnálisis estocástico
dc.subjectBolsa de Valores
dc.subjecthttps://purl.org/pe-repo/ocde/ford#1.01.03
dc.titleAn empirical application of stochastic volatility models to Latin-American stock returns using GH skew student's t-distribution
dc.typeinfo:eu-repo/semantics/masterThesis


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