An analysis of the yield spread as a predictor of inflation in Brazil: evidence from
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UCB |
Texto Completo: | http://twingo.ucb.br:8080/jspui/handle/10869/630 https://repositorio.ucb.br:9443/jspui/handle/123456789/7793 |
Resumo: | In the present paper we apply multiresolution decomposition in order to test if the Brazilian yield spread has informational content in the prediction of inflation. Additionally, we investigate the effect of the implementation of inflation targeting regime over this relation. The results suggest that the predictive power of the spread varies across time patterns. Inasmuch, the results indicate that the implementation of the inflation target regime was a sine qua non condition for a substantial increase in the predictive power of inflation. Overall, results suggest that wavelets transformations may be very useful in the building of forecasts of important financial variables. |
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Tabak, Benjamin MirandaFeitosa, Mateus Araujo2016-10-10T03:52:41Z2016-10-10T03:52:41Z2009TABAK, Benjamin Miranda; FEITOSA, Mateus Araujo. An analysis of the yield spread as a predictor of inflation in Brazil: evidence from a wavelets approach. Expert Systems with Applications, v. 36, n. 3, p. 7129-7134, 2009.http://twingo.ucb.br:8080/jspui/handle/10869/630https://repositorio.ucb.br:9443/jspui/handle/123456789/7793In the present paper we apply multiresolution decomposition in order to test if the Brazilian yield spread has informational content in the prediction of inflation. Additionally, we investigate the effect of the implementation of inflation targeting regime over this relation. The results suggest that the predictive power of the spread varies across time patterns. Inasmuch, the results indicate that the implementation of the inflation target regime was a sine qua non condition for a substantial increase in the predictive power of inflation. Overall, results suggest that wavelets transformations may be very useful in the building of forecasts of important financial variables.Made available in DSpace on 2016-10-10T03:52:41Z (GMT). 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dc.title.pt_BR.fl_str_mv |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
title |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
spellingShingle |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from Tabak, Benjamin Miranda Interest rates Forecasts Multiresolution analysis Wavelets Yield spread Term structure of interest rates |
title_short |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
title_full |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
title_fullStr |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
title_full_unstemmed |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
title_sort |
An analysis of the yield spread as a predictor of inflation in Brazil: evidence from |
author |
Tabak, Benjamin Miranda |
author_facet |
Tabak, Benjamin Miranda Feitosa, Mateus Araujo |
author_role |
author |
author2 |
Feitosa, Mateus Araujo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Tabak, Benjamin Miranda Feitosa, Mateus Araujo |
dc.subject.por.fl_str_mv |
Interest rates Forecasts Multiresolution analysis Wavelets Yield spread Term structure of interest rates |
topic |
Interest rates Forecasts Multiresolution analysis Wavelets Yield spread Term structure of interest rates |
dc.description.abstract.por.fl_txt_mv |
In the present paper we apply multiresolution decomposition in order to test if the Brazilian yield spread has informational content in the prediction of inflation. Additionally, we investigate the effect of the implementation of inflation targeting regime over this relation. The results suggest that the predictive power of the spread varies across time patterns. Inasmuch, the results indicate that the implementation of the inflation target regime was a sine qua non condition for a substantial increase in the predictive power of inflation. Overall, results suggest that wavelets transformations may be very useful in the building of forecasts of important financial variables. |
dc.description.version.pt_BR.fl_txt_mv |
Sim |
dc.description.status.pt_BR.fl_txt_mv |
Publicado |
description |
In the present paper we apply multiresolution decomposition in order to test if the Brazilian yield spread has informational content in the prediction of inflation. Additionally, we investigate the effect of the implementation of inflation targeting regime over this relation. The results suggest that the predictive power of the spread varies across time patterns. Inasmuch, the results indicate that the implementation of the inflation target regime was a sine qua non condition for a substantial increase in the predictive power of inflation. Overall, results suggest that wavelets transformations may be very useful in the building of forecasts of important financial variables. |
publishDate |
2009 |
dc.date.issued.fl_str_mv |
2009 |
dc.date.accessioned.fl_str_mv |
2016-10-10T03:52:41Z |
dc.date.available.fl_str_mv |
2016-10-10T03:52:41Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
status_str |
publishedVersion |
format |
article |
dc.identifier.citation.fl_str_mv |
TABAK, Benjamin Miranda; FEITOSA, Mateus Araujo. An analysis of the yield spread as a predictor of inflation in Brazil: evidence from a wavelets approach. Expert Systems with Applications, v. 36, n. 3, p. 7129-7134, 2009. |
dc.identifier.uri.fl_str_mv |
http://twingo.ucb.br:8080/jspui/handle/10869/630 https://repositorio.ucb.br:9443/jspui/handle/123456789/7793 |
identifier_str_mv |
TABAK, Benjamin Miranda; FEITOSA, Mateus Araujo. An analysis of the yield spread as a predictor of inflation in Brazil: evidence from a wavelets approach. Expert Systems with Applications, v. 36, n. 3, p. 7129-7134, 2009. |
url |
http://twingo.ucb.br:8080/jspui/handle/10869/630 https://repositorio.ucb.br:9443/jspui/handle/123456789/7793 |
dc.language.iso.fl_str_mv |
eng |
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Repositório Institucional da UCB |
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