Portfolio performance under tracking error and benchmark volatility constraints

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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...

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Detalles Bibliográficos
Autores: Hausner, Jan Frederick, van Vuuren, Gary
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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spelling 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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