Single vs. multi-factor strategies-improving performance through factor-tilts

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Wieckert, Jonas
Orientador(a): Schiozer, Rafael Felipe
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Inglês:
Link de acesso: https://hdl.handle.net/10438/30002
Resumo: This study compares the risk-adjusted performance of 10 single-factor (smart beta) and 75 multi-factor (advanced beta) portfolios over the period of 1992 to 2019. The emphasis is set on testing the performance changes achieved through illiquidity-tilts and ESG-tilts. Illiquidity-tilted multi-factor portfolios outperformed both single-factor portfolios and the general market. ESG-tilted portfolios only significantly outperformed in the subperiod after 2007. I attribute the lack of outperformance before 2007 to the limited ESG data availability, which substantially restricted the investable universe for ESG-based funds. The difference in the risk-adjusted performance between single- and multi-factor portfolios across all simulated portfolios was statistically significant. However, the benefits of further diversification diminished with the number of factors a portfolio was already tilted towards. The two portfolios with the highest Sharpe Ratios were tilted towards four factors. However, in general, little to no improvement could be observed beyond three factor-tilts. Robustness tests showed that the benefits of adding a factor-tilt was greater the more specialised the initial portfolio was. In the main part of the thesis, the portfolios were value-weighted and used a breakpoint of 0.8. However, the performance improvements, through additional factor tilts was stronger for equal-weighted portfolios and portfolios with a higher breakpoint. Overall, the results of this thesis show a superior risk-adjusted performance for advanced beta funds than for smart beta funds.
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spelling Wieckert, JonasEscolas::EAESPSampaio, Joelson OliveiraGabrielli, Marcio FernandesSchiozer, Rafael Felipe2021-01-11T13:57:46Z2021-01-11T13:57:46Z2020-12-06https://hdl.handle.net/10438/30002This study compares the risk-adjusted performance of 10 single-factor (smart beta) and 75 multi-factor (advanced beta) portfolios over the period of 1992 to 2019. The emphasis is set on testing the performance changes achieved through illiquidity-tilts and ESG-tilts. Illiquidity-tilted multi-factor portfolios outperformed both single-factor portfolios and the general market. ESG-tilted portfolios only significantly outperformed in the subperiod after 2007. I attribute the lack of outperformance before 2007 to the limited ESG data availability, which substantially restricted the investable universe for ESG-based funds. The difference in the risk-adjusted performance between single- and multi-factor portfolios across all simulated portfolios was statistically significant. However, the benefits of further diversification diminished with the number of factors a portfolio was already tilted towards. The two portfolios with the highest Sharpe Ratios were tilted towards four factors. However, in general, little to no improvement could be observed beyond three factor-tilts. Robustness tests showed that the benefits of adding a factor-tilt was greater the more specialised the initial portfolio was. In the main part of the thesis, the portfolios were value-weighted and used a breakpoint of 0.8. However, the performance improvements, through additional factor tilts was stronger for equal-weighted portfolios and portfolios with a higher breakpoint. Overall, the results of this thesis show a superior risk-adjusted performance for advanced beta funds than for smart beta funds.Este estudo compara o desempenho ajustado ao risco de 10 carteiras de fator único (smart beta) e 75 carteiras de fator múltiplo (advanced beta) durante o período de 1992 a 2019. A ênfase é colocada em testar as mudanças de desempenho alcançadas através de illiquidity-tilts e ESG-tilts. As carteiras de multi-fator de illiquidity superaram o desempenho tanto das carteiras de fator único quanto do mercado em geral. As carteiras com ESG só tiveram um desempenho significativamente melhor do que o desempenho no subperíodo após 2007. Atribuo a falta de desempenho antes de 2007 à limitada disponibilidade de dados da ESG, o que restringiu substancialmente o universo de investimento para fundos baseados na ESG. A diferença no desempenho ajustado ao risco entre as carteiras de um e vários fatores em todas as carteiras simuladas foi estatisticamente significativa. Entretanto, os benefícios de uma maior diversificação diminuíram com o número de fatores para os quais uma carteira já estava inclinada. As duas carteiras com os maiores Sharpe Ratios foram inclinadas para quatro fatores. Entretanto, em geral, pouca ou nenhuma melhoria pôde ser observada além de três fatores -tilts. Testes de robustez mostraram que os benefícios de adicionar um fator-tilha era maior quanto mais especializada era a carteira inicial. Na parte principal da tese, as carteiras foram ponderadas pelo valor e usaram um ponto de quebra de 0,8. No entanto, as melhorias de desempenho, através de inclinações adicionais de fatores, foram mais fortes para carteiras ponderadas por igual e carteiras com um ponto de quebra mais alto. No geral, os resultados desta tese mostram um desempenho ajustado ao risco superior para fundos advanced beta do que para fundos smart beta.engMulti-factorAdvanced betaSmart betaESG-investingLiquidity investingFactor-tiltsAdministração de empresasInvestimentos - AdministraçãoAdministração de risco financeiroDesempenhoSingle vs. multi-factor strategies-improving performance through factor-tiltsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVLICENSElicense.txtlicense.txttext/plain; charset=utf-84707https://repositorio.fgv.br/bitstreams/0729ff71-a99d-42ab-b563-9f4b01c85bed/downloaddfb340242cced38a6cca06c627998fa1MD54TEXTMaster_Thesis_Jonas_Wieckert_FGV.pdf.txtMaster_Thesis_Jonas_Wieckert_FGV.pdf.txtExtracted 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dc.title.eng.fl_str_mv Single vs. multi-factor strategies-improving performance through factor-tilts
title Single vs. multi-factor strategies-improving performance through factor-tilts
spellingShingle Single vs. multi-factor strategies-improving performance through factor-tilts
Wieckert, Jonas
Multi-factor
Advanced beta
Smart beta
ESG-investing
Liquidity investing
Factor-tilts
Administração de empresas
Investimentos - Administração
Administração de risco financeiro
Desempenho
title_short Single vs. multi-factor strategies-improving performance through factor-tilts
title_full Single vs. multi-factor strategies-improving performance through factor-tilts
title_fullStr Single vs. multi-factor strategies-improving performance through factor-tilts
title_full_unstemmed Single vs. multi-factor strategies-improving performance through factor-tilts
title_sort Single vs. multi-factor strategies-improving performance through factor-tilts
author Wieckert, Jonas
author_facet Wieckert, Jonas
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EAESP
dc.contributor.member.none.fl_str_mv Sampaio, Joelson Oliveira
Gabrielli, Marcio Fernandes
dc.contributor.author.fl_str_mv Wieckert, Jonas
dc.contributor.advisor1.fl_str_mv Schiozer, Rafael Felipe
contributor_str_mv Schiozer, Rafael Felipe
dc.subject.eng.fl_str_mv Multi-factor
Advanced beta
Smart beta
ESG-investing
Liquidity investing
Factor-tilts
topic Multi-factor
Advanced beta
Smart beta
ESG-investing
Liquidity investing
Factor-tilts
Administração de empresas
Investimentos - Administração
Administração de risco financeiro
Desempenho
dc.subject.area.por.fl_str_mv Administração de empresas
dc.subject.bibliodata.por.fl_str_mv Investimentos - Administração
Administração de risco financeiro
Desempenho
description This study compares the risk-adjusted performance of 10 single-factor (smart beta) and 75 multi-factor (advanced beta) portfolios over the period of 1992 to 2019. The emphasis is set on testing the performance changes achieved through illiquidity-tilts and ESG-tilts. Illiquidity-tilted multi-factor portfolios outperformed both single-factor portfolios and the general market. ESG-tilted portfolios only significantly outperformed in the subperiod after 2007. I attribute the lack of outperformance before 2007 to the limited ESG data availability, which substantially restricted the investable universe for ESG-based funds. The difference in the risk-adjusted performance between single- and multi-factor portfolios across all simulated portfolios was statistically significant. However, the benefits of further diversification diminished with the number of factors a portfolio was already tilted towards. The two portfolios with the highest Sharpe Ratios were tilted towards four factors. However, in general, little to no improvement could be observed beyond three factor-tilts. Robustness tests showed that the benefits of adding a factor-tilt was greater the more specialised the initial portfolio was. In the main part of the thesis, the portfolios were value-weighted and used a breakpoint of 0.8. However, the performance improvements, through additional factor tilts was stronger for equal-weighted portfolios and portfolios with a higher breakpoint. Overall, the results of this thesis show a superior risk-adjusted performance for advanced beta funds than for smart beta funds.
publishDate 2020
dc.date.issued.fl_str_mv 2020-12-06
dc.date.accessioned.fl_str_mv 2021-01-11T13:57:46Z
dc.date.available.fl_str_mv 2021-01-11T13:57:46Z
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 https://hdl.handle.net/10438/30002
url https://hdl.handle.net/10438/30002
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
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https://repositorio.fgv.br/bitstreams/856b4c67-c9c0-44b3-aa67-2d63c258dcb6/download
https://repositorio.fgv.br/bitstreams/01b0eafa-7b01-44b2-97b0-77fbeaec04ab/download
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bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
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repository.name.fl_str_mv Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv
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