Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18
- Autores
- Swoboda, Carlos; Kaplan, Samuel
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Fil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Fil: Kaplan, Samuel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
The objective of this work is to present a set of analytical tools to characterize the nature of the distribution of monthly returns of the stocks that comprised the Merval index in the period 2002-2018, and at the same time compare the results with those of the US market, where the same analysis will be performed for most of the 30 equities that compose the Dow Jones Industrial Index. A set of univariate normality tests will be resorted to, which include the Jarque - Bera and D’Agostino K squared tests. The coefficients of skewness and kurtosis will be estimated to better gauge the distribution of returns. Afterwards, multivariate normality tests will be performed, particularly in concern with the third and fourth moments of equities’ return distributions, and a Generalized Method of Moments (GMM) based test will be used, allowing for contemporaneous correlation between securities and accounting for its effect on skewness and kurtosis.
Fil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Fil: Kaplan, Samuel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Economía, Econometría - Materia
-
CAPM
Portfolio theory
Normality tests
GMM
Markov switching - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Repositorio
- Institución
- Universidad Nacional de Córdoba
- OAI Identificador
- oai:rdu.unc.edu.ar:11086/549900
Ver los metadatos del registro completo
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Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 Swoboda, CarlosKaplan, SamuelCAPMPortfolio theoryNormality testsGMMMarkov switchingFil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Kaplan, Samuel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.The objective of this work is to present a set of analytical tools to characterize the nature of the distribution of monthly returns of the stocks that comprised the Merval index in the period 2002-2018, and at the same time compare the results with those of the US market, where the same analysis will be performed for most of the 30 equities that compose the Dow Jones Industrial Index. A set of univariate normality tests will be resorted to, which include the Jarque - Bera and D’Agostino K squared tests. The coefficients of skewness and kurtosis will be estimated to better gauge the distribution of returns. Afterwards, multivariate normality tests will be performed, particularly in concern with the third and fourth moments of equities’ return distributions, and a Generalized Method of Moments (GMM) based test will be used, allowing for contemporaneous correlation between securities and accounting for its effect on skewness and kurtosis.Fil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Kaplan, Samuel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Economía, Econometría2019info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf978-987-47318-5-2http://hdl.handle.net/11086/549900enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-18T10:08:58Zoai:rdu.unc.edu.ar:11086/549900Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-18 10:08:58.871Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse |
dc.title.none.fl_str_mv |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
title |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
spellingShingle |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 Swoboda, Carlos CAPM Portfolio theory Normality tests GMM Markov switching |
title_short |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
title_full |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
title_fullStr |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
title_full_unstemmed |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
title_sort |
Stock returns and their distribution: an empirical assessment of the US and Argentina’s stock market for the period 2002/18 |
dc.creator.none.fl_str_mv |
Swoboda, Carlos Kaplan, Samuel |
author |
Swoboda, Carlos |
author_facet |
Swoboda, Carlos Kaplan, Samuel |
author_role |
author |
author2 |
Kaplan, Samuel |
author2_role |
author |
dc.subject.none.fl_str_mv |
CAPM Portfolio theory Normality tests GMM Markov switching |
topic |
CAPM Portfolio theory Normality tests GMM Markov switching |
dc.description.none.fl_txt_mv |
Fil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Fil: Kaplan, Samuel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. The objective of this work is to present a set of analytical tools to characterize the nature of the distribution of monthly returns of the stocks that comprised the Merval index in the period 2002-2018, and at the same time compare the results with those of the US market, where the same analysis will be performed for most of the 30 equities that compose the Dow Jones Industrial Index. A set of univariate normality tests will be resorted to, which include the Jarque - Bera and D’Agostino K squared tests. The coefficients of skewness and kurtosis will be estimated to better gauge the distribution of returns. Afterwards, multivariate normality tests will be performed, particularly in concern with the third and fourth moments of equities’ return distributions, and a Generalized Method of Moments (GMM) based test will be used, allowing for contemporaneous correlation between securities and accounting for its effect on skewness and kurtosis. Fil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Fil: Kaplan, Samuel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Economía, Econometría |
description |
Fil: Swoboda, Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
978-987-47318-5-2 http://hdl.handle.net/11086/549900 |
identifier_str_mv |
978-987-47318-5-2 |
url |
http://hdl.handle.net/11086/549900 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositorio Digital Universitario (UNC) instname:Universidad Nacional de Córdoba instacron:UNC |
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Repositorio Digital Universitario (UNC) |
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Universidad Nacional de Córdoba |
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UNC |
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UNC |
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Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba |
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oca.unc@gmail.com |
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13.000565 |