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Examining the relationship between time and factor anomaly returns

Bibliographic Details
Main Author: Kokkonen, Joni
Publication Date: 2019
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.14/29043
Summary: By examining the return characteristics of 10 different, long minus short, accounting-based anomaly portfolios, we find that a portfolio that rebalances daily, based on either 10-K or 10-Q releases, is optimal when transaction costs are low (around 2% or less) and the anomalies are robust, with a 4.5% annualized return differential being created versus a yearly rebalance. However, when that is not the case, we find that a yearly rebalancing is best. Furthermore, we determine that no other common rebalancing periods (such as weekly) should be used as they consistently fail to outperform either the daily or yearly ones. We also find a significant clustering of anomaly returns around the release of 10-K and 10-Q financial statements, primarily up to 15 days, corroborating theories connecting news releases to anomaly returns. Nonetheless, we find anomaly returns to still be consistently present up to 365 days after a financial statement release, opposing the idea of fast market responses to information and large clustering. Overall, there appears to be a connection between anomaly returns and time considerations that warrants further study.
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spelling Examining the relationship between time and factor anomaly returnsRebalancingFactor investingAnomaliesAbnormal returnsMarket efficiencyRebalanceamentoInvestimento factoresAnomaliasRetornos anormaisEficiência de mercadoBy examining the return characteristics of 10 different, long minus short, accounting-based anomaly portfolios, we find that a portfolio that rebalances daily, based on either 10-K or 10-Q releases, is optimal when transaction costs are low (around 2% or less) and the anomalies are robust, with a 4.5% annualized return differential being created versus a yearly rebalance. However, when that is not the case, we find that a yearly rebalancing is best. Furthermore, we determine that no other common rebalancing periods (such as weekly) should be used as they consistently fail to outperform either the daily or yearly ones. We also find a significant clustering of anomaly returns around the release of 10-K and 10-Q financial statements, primarily up to 15 days, corroborating theories connecting news releases to anomaly returns. Nonetheless, we find anomaly returns to still be consistently present up to 365 days after a financial statement release, opposing the idea of fast market responses to information and large clustering. Overall, there appears to be a connection between anomaly returns and time considerations that warrants further study.Romeiro, Paulo Alexandre Mendes RamosVeritatiKokkonen, Joni2020-01-02T13:07:14Z2019-05-092019-05-09T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/29043urn:tid:202270530enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-13T11:23:03Zoai:repositorio.ucp.pt:10400.14/29043Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:41:34.785548Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Examining the relationship between time and factor anomaly returns
title Examining the relationship between time and factor anomaly returns
spellingShingle Examining the relationship between time and factor anomaly returns
Kokkonen, Joni
Rebalancing
Factor investing
Anomalies
Abnormal returns
Market efficiency
Rebalanceamento
Investimento factores
Anomalias
Retornos anormais
Eficiência de mercado
title_short Examining the relationship between time and factor anomaly returns
title_full Examining the relationship between time and factor anomaly returns
title_fullStr Examining the relationship between time and factor anomaly returns
title_full_unstemmed Examining the relationship between time and factor anomaly returns
title_sort Examining the relationship between time and factor anomaly returns
author Kokkonen, Joni
author_facet Kokkonen, Joni
author_role author
dc.contributor.none.fl_str_mv Romeiro, Paulo Alexandre Mendes Ramos
Veritati
dc.contributor.author.fl_str_mv Kokkonen, Joni
dc.subject.por.fl_str_mv Rebalancing
Factor investing
Anomalies
Abnormal returns
Market efficiency
Rebalanceamento
Investimento factores
Anomalias
Retornos anormais
Eficiência de mercado
topic Rebalancing
Factor investing
Anomalies
Abnormal returns
Market efficiency
Rebalanceamento
Investimento factores
Anomalias
Retornos anormais
Eficiência de mercado
description By examining the return characteristics of 10 different, long minus short, accounting-based anomaly portfolios, we find that a portfolio that rebalances daily, based on either 10-K or 10-Q releases, is optimal when transaction costs are low (around 2% or less) and the anomalies are robust, with a 4.5% annualized return differential being created versus a yearly rebalance. However, when that is not the case, we find that a yearly rebalancing is best. Furthermore, we determine that no other common rebalancing periods (such as weekly) should be used as they consistently fail to outperform either the daily or yearly ones. We also find a significant clustering of anomaly returns around the release of 10-K and 10-Q financial statements, primarily up to 15 days, corroborating theories connecting news releases to anomaly returns. Nonetheless, we find anomaly returns to still be consistently present up to 365 days after a financial statement release, opposing the idea of fast market responses to information and large clustering. Overall, there appears to be a connection between anomaly returns and time considerations that warrants further study.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-09
2019-05-09T00:00:00Z
2020-01-02T13:07:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/29043
urn:tid:202270530
url http://hdl.handle.net/10400.14/29043
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dc.language.iso.fl_str_mv eng
language eng
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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