Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization

Finding the optimal weights for a set of ï¬nancial assets is a difï¬cult task. The mix of real world constrains and the uncertainty derived from the fact that process is based on estimates for parameters that likely to be inaccurate, often result in poor results. This paper suggests that a combinati...

Full description

Bibliographic Details
Main Authors: David Quintana, Sandra García-Rodríguez, Silvano Cincotti, Pedro Isasi
Format: Article
Language:English
Published: Springer 2015-09-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868636.pdf
_version_ 1828802230906519552
author David Quintana
Sandra García-Rodríguez
Silvano Cincotti
Pedro Isasi
author_facet David Quintana
Sandra García-Rodríguez
Silvano Cincotti
Pedro Isasi
author_sort David Quintana
collection DOAJ
description Finding the optimal weights for a set of ï¬nancial assets is a difï¬cult task. The mix of real world constrains and the uncertainty derived from the fact that process is based on estimates for parameters that likely to be inaccurate, often result in poor results. This paper suggests that a combination of a ï¬ltering mechanism based on random matrix theory with time-stamped resampled evolutionary multiobjective optimization algorithms enhances the robustness of forecasted efï¬cient frontiers.
first_indexed 2024-12-12T07:00:24Z
format Article
id doaj.art-48a7474dd5c94caa89f828b115eca6fa
institution Directory Open Access Journal
issn 1875-6883
language English
last_indexed 2024-12-12T07:00:24Z
publishDate 2015-09-01
publisher Springer
record_format Article
series International Journal of Computational Intelligence Systems
spelling doaj.art-48a7474dd5c94caa89f828b115eca6fa2022-12-22T00:33:51ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832015-09-018510.1080/18756891.2015.1084707Combining RMT-based filtering with time-stamped resampling for robust portfolio optimizationDavid QuintanaSandra García-RodríguezSilvano CincottiPedro IsasiFinding the optimal weights for a set of ï¬nancial assets is a difï¬cult task. The mix of real world constrains and the uncertainty derived from the fact that process is based on estimates for parameters that likely to be inaccurate, often result in poor results. This paper suggests that a combination of a ï¬ltering mechanism based on random matrix theory with time-stamped resampled evolutionary multiobjective optimization algorithms enhances the robustness of forecasted efï¬cient frontiers.https://www.atlantis-press.com/article/25868636.pdfPortfolio optimizationFilteringRobustnessMulti-objective optimization
spellingShingle David Quintana
Sandra García-Rodríguez
Silvano Cincotti
Pedro Isasi
Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization
International Journal of Computational Intelligence Systems
Portfolio optimization
Filtering
Robustness
Multi-objective optimization
title Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization
title_full Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization
title_fullStr Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization
title_full_unstemmed Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization
title_short Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization
title_sort combining rmt based filtering with time stamped resampling for robust portfolio optimization
topic Portfolio optimization
Filtering
Robustness
Multi-objective optimization
url https://www.atlantis-press.com/article/25868636.pdf
work_keys_str_mv AT davidquintana combiningrmtbasedfilteringwithtimestampedresamplingforrobustportfoliooptimization
AT sandragarciarodriguez combiningrmtbasedfilteringwithtimestampedresamplingforrobustportfoliooptimization
AT silvanocincotti combiningrmtbasedfilteringwithtimestampedresamplingforrobustportfoliooptimization
AT pedroisasi combiningrmtbasedfilteringwithtimestampedresamplingforrobustportfoliooptimization