Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016
The Black-Litterman model (BL) has been offered as an alternative to the classical Markowitz Mean-Variance framework, to structure well-diversified portfolios that incorporate visions from fundamental analysts. We apply this model to stock portfolios in the countries of the Mercado Integrado Latinoa...
- Autores:
-
Luna-Ramírez, Susana
Arango, Diego A.
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/13125
- Acceso en línea:
- http://hdl.handle.net/10784/13125
- Palabra clave:
- Portfolio active management
Black-Litterman Model
MILA
diversification
Fund performance evaluation
portfolio fixed-income hedge
- Rights
- License
- Acceso abierto
id |
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oai_identifier_str |
oai:repository.eafit.edu.co:10784/13125 |
network_acronym_str |
REPOEAFIT2 |
network_name_str |
Repositorio EAFIT |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
title |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
spellingShingle |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 Portfolio active management Black-Litterman Model MILA diversification Fund performance evaluation portfolio fixed-income hedge |
title_short |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
title_full |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
title_fullStr |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
title_full_unstemmed |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
title_sort |
Agrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016 |
dc.creator.fl_str_mv |
Luna-Ramírez, Susana Arango, Diego A. |
dc.contributor.eafitauthor.none.fl_str_mv |
slunara@eafit.edu.co dagudelo@eafit.edu.co |
dc.contributor.author.none.fl_str_mv |
Luna-Ramírez, Susana Arango, Diego A. |
dc.subject.keyword.spa.fl_str_mv |
Portfolio active management Black-Litterman Model MILA diversification Fund performance evaluation portfolio fixed-income hedge |
topic |
Portfolio active management Black-Litterman Model MILA diversification Fund performance evaluation portfolio fixed-income hedge |
description |
The Black-Litterman model (BL) has been offered as an alternative to the classical Markowitz Mean-Variance framework, to structure well-diversified portfolios that incorporate visions from fundamental analysts. We apply this model to stock portfolios in the countries of the Mercado Integrado Latinoamericano (MILA): Colombia, Chile, Mexico and Peru, starting from the constituents of the main stock market indexes. As perspectives, we use the historical analyst ́s recommendations in Bloomberg for the period 2008-2016. We find that portfolios created with BL outperform the main index, both in average return and in alpha, in each of the four countries. Moreover, a regional BL portfolio that combines the four BL country portfolios, outperforms a regional Benchmark, measured in dollars, in each one of three alternatives of Us dollar hedge. |
publishDate |
2018 |
dc.date.available.none.fl_str_mv |
2018-11-10T19:01:11Z |
dc.date.issued.none.fl_str_mv |
2018-11 |
dc.date.accessioned.none.fl_str_mv |
2018-11-10T19:01:11Z |
dc.type.eng.fl_str_mv |
workingPaper info:eu-repo/semantics/workingPaper |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_8042 |
dc.type.local.spa.fl_str_mv |
Documento de trabajo de investigación |
dc.type.hasVersion.eng.fl_str_mv |
draft |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/13125 |
dc.identifier.jel.none.fl_str_mv |
G11 G23 62P05 91G10 97M30 |
url |
http://hdl.handle.net/10784/13125 |
identifier_str_mv |
G11 G23 62P05 91G10 97M30 |
dc.language.iso.eng.fl_str_mv |
spa |
language |
spa |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.publisher.department.spa.fl_str_mv |
Escuela de Economía y Finanzas |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/6c051a6a-3626-4433-9bbf-b8267d753696/download https://repository.eafit.edu.co/bitstreams/94c67533-317c-4b4a-beae-1f1b859c667c/download |
bitstream.checksum.fl_str_mv |
76025f86b095439b7ac65b367055d40c 1c66d9da1af1c7299f814c08c08e31d3 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1814110217593421824 |
spelling |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2018-11-10T19:01:11Z2018-112018-11-10T19:01:11Zhttp://hdl.handle.net/10784/13125G11G2362P0591G1097M30The Black-Litterman model (BL) has been offered as an alternative to the classical Markowitz Mean-Variance framework, to structure well-diversified portfolios that incorporate visions from fundamental analysts. We apply this model to stock portfolios in the countries of the Mercado Integrado Latinoamericano (MILA): Colombia, Chile, Mexico and Peru, starting from the constituents of the main stock market indexes. As perspectives, we use the historical analyst ́s recommendations in Bloomberg for the period 2008-2016. We find that portfolios created with BL outperform the main index, both in average return and in alpha, in each of the four countries. Moreover, a regional BL portfolio that combines the four BL country portfolios, outperforms a regional Benchmark, measured in dollars, in each one of three alternatives of Us dollar hedge.spaUniversidad EAFITEscuela de Economía y FinanzasAgrega valor el modelo Black-Litterman en portafo- lios del Mercado Integrado Latinoamericano (MILA)? Evaluación empírica 2008-2016workingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2Portfolio active managementBlack-Litterman ModelMILAdiversificationFund performance evaluationportfolio fixed-income hedgeslunara@eafit.edu.codagudelo@eafit.edu.coLuna-Ramírez, SusanaArango, Diego A.LICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/6c051a6a-3626-4433-9bbf-b8267d753696/download76025f86b095439b7ac65b367055d40cMD51ORIGINALWP-2018-14-Susana Luna-Ramírez.pdfWP-2018-14-Susana Luna-Ramírez.pdfDocumento de trabajo de investigaciónapplication/pdf946671https://repository.eafit.edu.co/bitstreams/94c67533-317c-4b4a-beae-1f1b859c667c/download1c66d9da1af1c7299f814c08c08e31d3MD5210784/13125oai:repository.eafit.edu.co:10784/131252024-03-05 14:06:06.604open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.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 |