Portfolio performance under tracking error and benchmark volatility constraints
Descripción del Articulo
Purpose. Using a portfolio comprising liquid global stocks and bonds, this study aims to limit absolute risk to that of a standardised benchmark and determine whether this has a significant impact on expected return in both high volatility period (HV) and low volatility period (LV). Design/methodolo...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad ESAN |
Repositorio: | Revistas - Universidad ESAN |
Lenguaje: | inglés |
OAI Identifier: | oai:ojs.pkp.sfu.ca:article/145 |
Enlace del recurso: | https://revistas.esan.edu.pe/index.php/jefas/article/view/145 |
Nivel de acceso: | acceso abierto |
Materia: | Tracking error Portfolio performance optimisation Active management |
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Revistas - Universidad ESAN |
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Portfolio performance under tracking error and benchmark volatility constraintsHausner, Jan Frederickvan Vuuren, GaryTracking errorPortfolio performance optimisationActive managementPurpose. Using a portfolio comprising liquid global stocks and bonds, this study aims to limit absolute risk to that of a standardised benchmark and determine whether this has a significant impact on expected return in both high volatility period (HV) and low volatility period (LV). Design/methodology/approach. Using a traditional benchmark comprising 40% equity and 60% bonds, a constant tracking error (TE) frontier was constructed and implemented. Portfolio performance for different TE constraints and different economic periods (expansion and contraction) was explored. Findings. Results indicate that during HV, replicating benchmark portfolio risk produces portfolios that outperform both the maximum return (MR) portfolio and the benchmark. MR portfolios outperform those with the same risk as that of the benchmark in LV. The MR portfolio weights assets to obtain the highest return on the TE frontier. During HV, the benchmark replicated risk portfolio obtained a higher absolute risk value than that of the MR portfolio because of an inefficient benchmark. In HV, the benchmark replicated risk portfolio favoured intermediate maturity treasury bills. Originality/value. There is a dearth of literature exploring the performance of active portfolios subject to TE constraints. This work addresses this gap and demonstrates, for the first time, the relative portfolio performance of several standard portfolio choices on the frontier. DOI: https://doi.org/10.1108/JEFAS-06-2019-0099Universidad ESAN2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://revistas.esan.edu.pe/index.php/jefas/article/view/145Journal of Economics, Finance and Administrative Science; Vol. 26 No. 51 (2021): January - June; 94-111Journal of Economics, Finance and Administrative Science; Vol. 26 Núm. 51 (2021): January - June; 94-1112218-06482077-1886reponame:Revistas - Universidad ESANinstname:Universidad ESANinstacron:ESANenghttps://revistas.esan.edu.pe/index.php/jefas/article/view/145/124Copyright (c) 2021 Journal of Economics, Finance and Administrative Sciencehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/1452021-11-17T03:01:11Z |
dc.title.none.fl_str_mv |
Portfolio performance under tracking error and benchmark volatility constraints |
title |
Portfolio performance under tracking error and benchmark volatility constraints |
spellingShingle |
Portfolio performance under tracking error and benchmark volatility constraints Hausner, Jan Frederick Tracking error Portfolio performance optimisation Active management |
title_short |
Portfolio performance under tracking error and benchmark volatility constraints |
title_full |
Portfolio performance under tracking error and benchmark volatility constraints |
title_fullStr |
Portfolio performance under tracking error and benchmark volatility constraints |
title_full_unstemmed |
Portfolio performance under tracking error and benchmark volatility constraints |
title_sort |
Portfolio performance under tracking error and benchmark volatility constraints |
dc.creator.none.fl_str_mv |
Hausner, Jan Frederick van Vuuren, Gary |
author |
Hausner, Jan Frederick |
author_facet |
Hausner, Jan Frederick van Vuuren, Gary |
author_role |
author |
author2 |
van Vuuren, Gary |
author2_role |
author |
dc.subject.none.fl_str_mv |
Tracking error Portfolio performance optimisation Active management |
topic |
Tracking error Portfolio performance optimisation Active management |
description |
Purpose. Using a portfolio comprising liquid global stocks and bonds, this study aims to limit absolute risk to that of a standardised benchmark and determine whether this has a significant impact on expected return in both high volatility period (HV) and low volatility period (LV). Design/methodology/approach. Using a traditional benchmark comprising 40% equity and 60% bonds, a constant tracking error (TE) frontier was constructed and implemented. Portfolio performance for different TE constraints and different economic periods (expansion and contraction) was explored. Findings. Results indicate that during HV, replicating benchmark portfolio risk produces portfolios that outperform both the maximum return (MR) portfolio and the benchmark. MR portfolios outperform those with the same risk as that of the benchmark in LV. The MR portfolio weights assets to obtain the highest return on the TE frontier. During HV, the benchmark replicated risk portfolio obtained a higher absolute risk value than that of the MR portfolio because of an inefficient benchmark. In HV, the benchmark replicated risk portfolio favoured intermediate maturity treasury bills. Originality/value. There is a dearth of literature exploring the performance of active portfolios subject to TE constraints. This work addresses this gap and demonstrates, for the first time, the relative portfolio performance of several standard portfolio choices on the frontier. DOI: https://doi.org/10.1108/JEFAS-06-2019-0099 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/145 |
url |
https://revistas.esan.edu.pe/index.php/jefas/article/view/145 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/145/124 |
dc.rights.none.fl_str_mv |
Copyright (c) 2021 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad ESAN |
publisher.none.fl_str_mv |
Universidad ESAN |
dc.source.none.fl_str_mv |
Journal of Economics, Finance and Administrative Science; Vol. 26 No. 51 (2021): January - June; 94-111 Journal of Economics, Finance and Administrative Science; Vol. 26 Núm. 51 (2021): January - June; 94-111 2218-0648 2077-1886 reponame:Revistas - Universidad ESAN instname:Universidad ESAN instacron:ESAN |
instname_str |
Universidad ESAN |
instacron_str |
ESAN |
institution |
ESAN |
reponame_str |
Revistas - Universidad ESAN |
collection |
Revistas - Universidad ESAN |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
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1846244162393866240 |
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12.783843 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).