Publicação

Factor-based investing - insights from investing in the Euronext 100 index

Ver documento

Detalhes bibliográficos
Resumo:Within this work, performance of factor-based investing is assessed using the Euronext 100 index in the years from 2002 to 2018. First, single-factor portfolios are constructed using momentum, size, value, betting-against-beta and short-term reversals strategies. The performance of these portfolios is quite patchy. Only the momentum factor proofed itself successful in achieving abnormal returns with and without industry adjustments. Further, multi-factor portfolios are evaluated. The industry adjusted multi-factor portfolio performed really well especially when combined with the market portfolio. The portfolios based on regression-based return forecasts perform well with and without industry adjustments. Analog to the multi-factor model these good performances still benefit from combining these portfolios with the market. An investor would suffer from transaction costs if he traded on these strategies. To account for these costs an estimate is introduced based on the trading activity of the portfolios and the bidask spreads in the stock market. However, the performance correction based on these estimates does only harm the portfolios slightly and does not eliminate the usefulness of the portfolios. As a result, the paper concludes that factor-based long-short portfolios can serve as a nice tool for investors to increase their portfolio performance especially if combined with the market portfolio.
Autores principais:Schnell, Felix
Assunto:Factor investing Long-short portfolios Return forecasting Transaction cost estimate
Ano:2019
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
_version_ 1868983658900094976
author Schnell, Felix
author_facet Schnell, Felix
author_role author
contributor_name_str_mv Boons, Martijn
RUN
country_str PT
creators_json_txt [{\"Person.name\":\"Schnell, Felix\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Boons, Martijn
RUN
datacite.creators.creator.creatorName.fl_str_mv Schnell, Felix
datacite.date.Accepted.fl_str_mv 2019-01-24T00:00:00Z
datacite.date.available.fl_str_mv 2019-04-29T14:48:53Z
datacite.date.embargoed.fl_str_mv 2019-04-29T14:48:53Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Factor investing
Long-short portfolios
Return forecasting
Transaction cost estimate
datacite.titles.title.fl_str_mv Factor-based investing - insights from investing in the Euronext 100 index
dc.contributor.none.fl_str_mv Boons, Martijn
RUN
dc.creator.none.fl_str_mv Schnell, Felix
dc.date.Accepted.fl_str_mv 2019-01-24T00:00:00Z
dc.date.available.fl_str_mv 2019-04-29T14:48:53Z
dc.date.embargoed.fl_str_mv 2019-04-29T14:48:53Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10362/67984
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Factor investing
Long-short portfolios
Return forecasting
Transaction cost estimate
dc.title.fl_str_mv Factor-based investing - insights from investing in the Euronext 100 index
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Within this work, performance of factor-based investing is assessed using the Euronext 100 index in the years from 2002 to 2018. First, single-factor portfolios are constructed using momentum, size, value, betting-against-beta and short-term reversals strategies. The performance of these portfolios is quite patchy. Only the momentum factor proofed itself successful in achieving abnormal returns with and without industry adjustments. Further, multi-factor portfolios are evaluated. The industry adjusted multi-factor portfolio performed really well especially when combined with the market portfolio. The portfolios based on regression-based return forecasts perform well with and without industry adjustments. Analog to the multi-factor model these good performances still benefit from combining these portfolios with the market. An investor would suffer from transaction costs if he traded on these strategies. To account for these costs an estimate is introduced based on the trading activity of the portfolios and the bidask spreads in the stock market. However, the performance correction based on these estimates does only harm the portfolios slightly and does not eliminate the usefulness of the portfolios. As a result, the paper concludes that factor-based long-short portfolios can serve as a nice tool for investors to increase their portfolio performance especially if combined with the market portfolio.
dirty 0
eu_rights_str_mv openAccess
format masterThesis
fulltext.url.fl_str_mv https://run.unl.pt/bitstreams/45dfead3-0aaa-419d-ad71-e6361c49f117/download
id run_fd528b2eb78f6dbfdabd6fbe38d0b4e2
identifier.url.fl_str_mv http://hdl.handle.net/10362/67984
inst_facet_str urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa
instacron_str unl
institution Universidade Nova de Lisboa
instname_str Universidade Nova de Lisboa
language eng
network_acronym_str run
network_name_str Repositório Institucional da UNL
oai_identifier_str oai:run.unl.pt:10362/67984
organization_str_mv urn:organizationAcronym:unl
person_str_mv Schnell, Felix
publishDate 2019
repo_facet_str urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL
reponame_str Repositório Institucional da UNL
repository_id_str urn:repositoryAcronym:run
service_str_mv urn:repositoryAcronym:run
spelling engpt_PTWithin this work, performance of factor-based investing is assessed using the Euronext 100 index in the years from 2002 to 2018. First, single-factor portfolios are constructed using momentum, size, value, betting-against-beta and short-term reversals strategies. The performance of these portfolios is quite patchy. Only the momentum factor proofed itself successful in achieving abnormal returns with and without industry adjustments. Further, multi-factor portfolios are evaluated. The industry adjusted multi-factor portfolio performed really well especially when combined with the market portfolio. The portfolios based on regression-based return forecasts perform well with and without industry adjustments. Analog to the multi-factor model these good performances still benefit from combining these portfolios with the market. An investor would suffer from transaction costs if he traded on these strategies. To account for these costs an estimate is introduced based on the trading activity of the portfolios and the bidask spreads in the stock market. However, the performance correction based on these estimates does only harm the portfolios slightly and does not eliminate the usefulness of the portfolios. As a result, the paper concludes that factor-based long-short portfolios can serve as a nice tool for investors to increase their portfolio performance especially if combined with the market portfolio.application/pdfpt_PTFactor-based investing - insights from investing in the Euronext 100 indexSchnell, FelixBoons, MartijnHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2022235232019-04-29T14:48:53Z2019-01-242019-01-24T00:00:00ZHandlehttp://hdl.handle.net/10362/67984http://purl.org/coar/access_right/c_abf2open accessFactor investingLong-short portfoliosReturn forecastingTransaction cost estimate407457 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/45dfead3-0aaa-419d-ad71-e6361c49f117/download
spellingShingle Factor-based investing - insights from investing in the Euronext 100 index
Schnell, Felix
Factor investing
Long-short portfolios
Return forecasting
Transaction cost estimate
status SINGLETON
subject.fl_str_mv Factor investing
Long-short portfolios
Return forecasting
Transaction cost estimate
title Factor-based investing - insights from investing in the Euronext 100 index
title_full Factor-based investing - insights from investing in the Euronext 100 index
title_fullStr Factor-based investing - insights from investing in the Euronext 100 index
title_full_unstemmed Factor-based investing - insights from investing in the Euronext 100 index
title_short Factor-based investing - insights from investing in the Euronext 100 index
title_sort Factor-based investing - insights from investing in the Euronext 100 index
topic Factor investing
Long-short portfolios
Return forecasting
Transaction cost estimate
topic_facet Factor investing
Long-short portfolios
Return forecasting
Transaction cost estimate
url http://hdl.handle.net/10362/67984
visible 1