Simulating Price Interactions by Mining Multivariate Financial Time Series
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/10400.26/6797 |
Resumo: | This position paper proposes a framework based on a feature clustering method using Emergent Self-Organizing Maps over streaming data (Ubi-SOM) and Ramex-Forum – a sequence pattern mining model for financial time series modeling based on observed instantaneous and long term relations over market data. The proposed framework aims at producing realistic monte-carlo based simulations of an entire portfolio behavior over distinct market scenarios, obtained from models generated by these two approaches. |
id |
RCAP_b4d6502f2094a94f078e6204be5825d5 |
---|---|
oai_identifier_str |
oai:comum.rcaap.pt:10400.26/6797 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Simulating Price Interactions by Mining Multivariate Financial Time SeriesSOMUbiquitous environmentsEmergent Self-Organizing MapsUbiSOMThis position paper proposes a framework based on a feature clustering method using Emergent Self-Organizing Maps over streaming data (Ubi-SOM) and Ramex-Forum – a sequence pattern mining model for financial time series modeling based on observed instantaneous and long term relations over market data. The proposed framework aims at producing realistic monte-carlo based simulations of an entire portfolio behavior over distinct market scenarios, obtained from models generated by these two approaches.Repositório ComumSilva, BrunoCavique, LuisMarques, Nuno2014-10-09T10:45:45Z2014-08-032014-08-03T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.26/6797enginfo: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:RCAAP2025-05-02T16:26:34Zoai:comum.rcaap.pt:10400.26/6797Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:52:11.041018Repositórios 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 |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
title |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
spellingShingle |
Simulating Price Interactions by Mining Multivariate Financial Time Series Silva, Bruno SOM Ubiquitous environments Emergent Self-Organizing Maps UbiSOM |
title_short |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
title_full |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
title_fullStr |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
title_full_unstemmed |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
title_sort |
Simulating Price Interactions by Mining Multivariate Financial Time Series |
author |
Silva, Bruno |
author_facet |
Silva, Bruno Cavique, Luis Marques, Nuno |
author_role |
author |
author2 |
Cavique, Luis Marques, Nuno |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Silva, Bruno Cavique, Luis Marques, Nuno |
dc.subject.por.fl_str_mv |
SOM Ubiquitous environments Emergent Self-Organizing Maps UbiSOM |
topic |
SOM Ubiquitous environments Emergent Self-Organizing Maps UbiSOM |
description |
This position paper proposes a framework based on a feature clustering method using Emergent Self-Organizing Maps over streaming data (Ubi-SOM) and Ramex-Forum – a sequence pattern mining model for financial time series modeling based on observed instantaneous and long term relations over market data. The proposed framework aims at producing realistic monte-carlo based simulations of an entire portfolio behavior over distinct market scenarios, obtained from models generated by these two approaches. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-10-09T10:45:45Z 2014-08-03 2014-08-03T00:00:00Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/6797 |
url |
http://hdl.handle.net/10400.26/6797 |
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.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833602812845490176 |