dc.creatorAbanto-Valle, Carlos
dc.creatorRodríguez, Gabriel
dc.creatorGarrafa-Aragón, Hernán
dc.date2021-05-05T20:21:59Z
dc.date2021-05-05T20:21:59Z
dc.date2020-02
dc.date.accessioned2023-03-09T04:52:45Z
dc.date.available2023-03-09T04:52:45Z
dc.identifierhttp://repositorio.pucp.edu.pe/index/handle/123456789/176222
dc.identifierhttp://doi.org/10.18800/2079-8474.0481
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6013857
dc.descriptionDocumento de trabajo; 481
dc.descriptionUsing a Stochastic Volatility in Mean (SVM) model, we perform an empirical study of live Latin American indexes in order to see the impact of the volatility in the mean of the returns. We use MCMC Hamiltonian dynamics. The results indicate that volatility has a negative impact on returns suggesting that the volatility feedback effect is stronger than the effect related to the expected volatility. This result is clear and opposite to the finding of Koopman and Uspensky (2002). The other countries present negative values but the upper tail of the intervals are near to the zero value.
dc.formatapplication/pdf
dc.languageeng
dc.publisherPontificia Universidad Católica del Perú. Departamento de Economía
dc.publisherPE
dc.relationurn:issn:2079-8466
dc.relationurn:issn:2079-8474
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.subjectStock Latin American Markets
dc.subjectStochastic Volatility in Mean
dc.subjectFeed-Back Effect
dc.subjectHamiltonian Monte Carlo
dc.subjectMarkov Chain Monte Carlo
dc.subjectRiemannian Manifold Hamiltonian Monte Carlo
dc.subjectNon Linear State Space Models
dc.subjecthttp://purl.org/pe-repo/ocde/ford#5.02.00
dc.titleStochastic Volatility in Mean. Empirical Evidence from Stock Latin American Markets
dc.typeinfo:eu-repo/semantics/workingPaper
dc.typeDocumento de trabajo


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