Information in the Yield Curve: A Macro-Finance Approach

dc.contributor.authorDewachter, Hans
dc.contributor.authorIania, Leonardo
dc.contributor.authorLyrio, Marco Túlio Pereira
dc.coverage.cidadeSão Paulopt_BR
dc.coverage.paisBrasilpt_BR
dc.creatorDewachter, Hans
dc.creatorIania, Leonardo
dc.creatorLyrio, Marco Túlio Pereira
dc.date.accessioned2023-07-17T19:22:12Z
dc.date.available2023-07-17T19:22:12Z
dc.date.issued2011
dc.description.abstractThis paper uses an affine term structure model that incorporates macroeconomic and financial factors to study the term premium in the U.S. bond market. The results corroborate the known rejection of the expectation hypothesis and indicate that one factor, closely related to the Cochrane and Piazzesi (2005) factor (the CP factor), is responsible for most of then variation in bond premia. Furthermore, the model-implied bond premia are able to explain around 32% and 40% of the variability of one- and two-year excess returns and their out-of-sample performance is comparable to the one obtained with the CP factor. The model is also used to decompose yield spreads into an expectations and a term premium componente in order to forecast GDP growth and ináation. Although this decomposition does not seem important to forecast GDP growth it is crucial to forecast ináation for most forecasting horizons. Also, the inclusion of control variables such as the short-term interest rate and lagged variables does not drive out the predictive power of the yield spread decomposition.
dc.description.otherThis paper uses an a¢ ne term structure model that incorporates macroeconomic and Önancial factors to study the term premium in the U.S. bond market. The results corroborate the known rejection of the expectation hypothesis and indicate that one factor, closely related to the Cochrane and Piazzesi (2005) factor (the CP factor), is responsible for most of the variation in bond premia. Furthermore, the model-implied bond premia are able to explain around 32% and 40% of the variability of one- and two-year excess returns and their outof-sample performance is comparable to the one obtained with the CP factor. The model is also used to decompose yield spreads into an expectations and a term premium component in order to forecast GDP growth and ináation. Although this decomposition does not seem important to forecast GDP growth it is crucial to forecast ináation for most forecasting horizons. Also, the inclusion of control variables such as the short-term interest rate and lagged variables does not drive out the predictive power of the yield spread decomposition.pt_BR
dc.format.extent44 p.pt_BR
dc.format.mediumDigitalpt_BR
dc.identifier.issueBEWP 132/2011
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/5837
dc.language.isoInglêspt_BR
dc.publisherInsperpt_BR
dc.relation.ispartofseriesInsper Working Paperpt_BR
dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITORpt_BR
dc.subject.keywordsMacro-Önance modelpt_BR
dc.subject.keywordsTerm structurept_BR
dc.subject.keywordsForecastingpt_BR
dc.titleInformation in the Yield Curve: A Macro-Finance Approachpt_BR
dc.typeworking paper
dspace.entity.typePublication
local.subject.cnpqCiências Sociais Aplicadaspt_BR
local.typeWorking Paperpt_BR

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