Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040
The objective of this study is to analyze through a neural network model the intraday performance of the Mexican peso -US dollar exchange rate as a function of the behavior of the currencies of both emerging and developed countries, among which are the South African rand (USDZAR), Turkish lira (USDT...
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| Materyal Türü: | article |
| Dil: | spa |
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2020
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| Online Erişim: | http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625 |
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| _version_ | 1859075420908945408 |
|---|---|
| author | Morales Castro , Arturo |
| author2 | Ramírez Reyes , Eliseo Jiménez Zamudio, Ricardo |
| author2_role | author author |
| author_facet | Morales Castro , Arturo Ramírez Reyes , Eliseo Jiménez Zamudio, Ricardo |
| author_role | author |
| collection | Revista Universidad Laica Vicente Rocafuerte |
| dc.creator.none.fl_str_mv | Morales Castro , Arturo Ramírez Reyes , Eliseo Jiménez Zamudio, Ricardo |
| dc.date.none.fl_str_mv | 2020-01-30 |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625 10.62325/10.62325/yachana.v9.n1.2020.625 |
| dc.language.none.fl_str_mv | spa |
| dc.publisher.none.fl_str_mv | Universidad Laica VICENTE ROCAFUERTE de Guayaquil |
| dc.relation.none.fl_str_mv | http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625/363 http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625/364 |
| dc.rights.none.fl_str_mv | Derechos de autor 2020 Yachana Revista Científica http://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | Yachana ; Vol. 9 No. 1: Enero-Junio 2020 Yachana ; Vol. 9 Núm. 1: Enero-Junio 2020 2528-8148 1390-7778 reponame:Revista Universidad Laica Vicente Rocafuerte instname:Universidad Laica Vicente Rocafuerte instacron:ULVR |
| dc.subject.none.fl_str_mv | Tipo de cambio, Redes Neuronales, divisas xchange rate, Neural Networks, currencies |
| dc.title.none.fl_str_mv | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | The objective of this study is to analyze through a neural network model the intraday performance of the Mexican peso -US dollar exchange rate as a function of the behavior of the currencies of both emerging and developed countries, among which are the South African rand (USDZAR), Turkish lira (USDTRY), Russian rouble (USDRUB), Polish zloty (USDPLN), Czech crown (USDCZK), euro (EURUSD), Swedish krona (USDSEK), Norwegian krone (USDNOK), Swiss franc (USDCHF), Canadian dollar (USDCAD), pound sterling (GBPUSD), Japanese yen (USDJPY) and the Brazilian real currency (USDBRL), in the period from July 2018 to January 2019 to identify which of the variables analysed has the greatest impact on the behaviour of the peso exchange rate in the selected period. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | REVULVR_a040fefc0fc1a3ed868b70c1934b40cd |
| identifier_str_mv | 10.62325/10.62325/yachana.v9.n1.2020.625 |
| instacron_str | ULVR |
| institution | ULVR |
| instname_str | Universidad Laica Vicente Rocafuerte |
| language | spa |
| network_acronym_str | REVULVR |
| network_name_str | Revista Universidad Laica Vicente Rocafuerte |
| oai_identifier_str | oai:ojs.pkp.sfu.ca:article/625 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | Universidad Laica VICENTE ROCAFUERTE de Guayaquil |
| reponame_str | Revista Universidad Laica Vicente Rocafuerte |
| repository.mail.fl_str_mv | . |
| repository.name.fl_str_mv | Revista Universidad Laica Vicente Rocafuerte - Universidad Laica Vicente Rocafuerte |
| repository_id_str | 0 |
| rights_invalid_str_mv | Derechos de autor 2020 Yachana Revista Científica http://creativecommons.org/licenses/by-nc-sa/4.0 |
| spelling | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040Morales Castro , Arturo Ramírez Reyes , Eliseo Jiménez Zamudio, RicardoTipo de cambio, Redes Neuronales, divisasxchange rate, Neural Networks, currenciesThe objective of this study is to analyze through a neural network model the intraday performance of the Mexican peso -US dollar exchange rate as a function of the behavior of the currencies of both emerging and developed countries, among which are the South African rand (USDZAR), Turkish lira (USDTRY), Russian rouble (USDRUB), Polish zloty (USDPLN), Czech crown (USDCZK), euro (EURUSD), Swedish krona (USDSEK), Norwegian krone (USDNOK), Swiss franc (USDCHF), Canadian dollar (USDCAD), pound sterling (GBPUSD), Japanese yen (USDJPY) and the Brazilian real currency (USDBRL), in the period from July 2018 to January 2019 to identify which of the variables analysed has the greatest impact on the behaviour of the peso exchange rate in the selected period.El objetivo de este estudio es analizar mediante un modelo de redes neuronales, el rendimiento intradía del tipo de cambio peso mexicano – dólar estadounidense en función del comportamiento de las divisas tanto de países emergentes como desarrollados, dentro de los cuales se encuentran rand sudafricano (USDZAR), lira turca (USDTRY), rublo ruso (USDRUB), zloty polaco (USDPLN), corona checa (USDCZK), euro (EURUSD), corona sueca (USDSEK), corona noruega (USDNOK), franco suizo (USDCHF), dólar canadiense (USDCAD), libra esterlina (GBPUSD), yen japonés (USDJPY) y el real brasileño (USDBRL), en el periodo de julio de 2018 a enero de 2019 para identificar cuál de las variables analizadas tiene un mayor impacto en el comportamiento del tipo de cambio peso en el periodo seleccionado.Universidad Laica VICENTE ROCAFUERTE de Guayaquil2020-01-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://revistas.ulvr.edu.ec/index.php/yachana/article/view/62510.62325/10.62325/yachana.v9.n1.2020.625Yachana ; Vol. 9 No. 1: Enero-Junio 2020Yachana ; Vol. 9 Núm. 1: Enero-Junio 20202528-81481390-7778reponame:Revista Universidad Laica Vicente Rocafuerteinstname:Universidad Laica Vicente Rocafuerteinstacron:ULVRspahttp://revistas.ulvr.edu.ec/index.php/yachana/article/view/625/363http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625/364Derechos de autor 2020 Yachana Revista Científicahttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccess2020-11-27T20:06:23Zoai:ojs.pkp.sfu.ca:article/625Institucionalhttp://revistas.ulvr.edu.ec/Universidad privadahttps://www.ulvr.edu.ec/..Ecuador.2528-81481390-7778opendoar:02020-11-27T20:06:23Revista Universidad Laica Vicente Rocafuerte - Universidad Laica Vicente Rocafuertefalse |
| spellingShingle | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 Morales Castro , Arturo Tipo de cambio, Redes Neuronales, divisas xchange rate, Neural Networks, currencies |
| status_str | publishedVersion |
| title | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| title_full | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| title_fullStr | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| title_full_unstemmed | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| title_short | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| title_sort | Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040 |
| topic | Tipo de cambio, Redes Neuronales, divisas xchange rate, Neural Networks, currencies |
| url | http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625 |