Single vs. multi-factor strategies-improving performance through factor-tilts
| Ano de defesa: | 2020 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| 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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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) |
| bitstream.url.fl_str_mv |
https://repositorio.fgv.br/bitstreams/0729ff71-a99d-42ab-b563-9f4b01c85bed/download https://repositorio.fgv.br/bitstreams/bbcada27-8fbf-44fd-a71e-93d0cb245f6f/download https://repositorio.fgv.br/bitstreams/856b4c67-c9c0-44b3-aa67-2d63c258dcb6/download https://repositorio.fgv.br/bitstreams/01b0eafa-7b01-44b2-97b0-77fbeaec04ab/download |
| bitstream.checksum.fl_str_mv |
dfb340242cced38a6cca06c627998fa1 42fd9c0286aad84a8160ef969a0ee9f9 372b347292db9d7be5d6ac4f927f07fd 4d1559b7a9207bbd6371e8a5d592e66d |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV) |
| repository.mail.fl_str_mv |
|
| _version_ |
1827842520116101120 |