Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries

Detalhes bibliográficos
Autor(a) principal: Castro,Andressa Monteiro de
Data de Publicação: 2016
Outros Autores: Issler,João Victor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Economia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402016000400419
Resumo: Using the theoretical framework of Lettau & Ludvigson (2001), we perform an empirical investigation on how widespread is the predictability of cay-a modified consumption-wealth ratio-once we consider a set of important countries from a global perspective. We chose to work with the set of G7 countries, which represent more than 64% of net global wealth and 46% of global GDP at market exchange rates. We evaluate the forecasting performance of cay using a paneldata approach, since applying cointegration and other time-series techniques is now standard practice in the panel-data literature. Hence, we generalize Lettau and Ludvigson's tests for a panel of important countries. We employ macroeconomic and financial quarterly data for the group of G7 countries, forming an unbalanced panel. For most countries, data is available from the early 1990s until 2014Q1, but for the U.S. economy it is available from 1981Q1 through 2014Q1. Results of an exhaustive empirical investigation are overwhelmingly in favor of the predictive power of cay in forecasting future stock returns and excess returns.
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spelling Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 CountriesConsumption-Wealth RatioStock ReturnsUnbalanced PanelCointegrating ResidualUsing the theoretical framework of Lettau & Ludvigson (2001), we perform an empirical investigation on how widespread is the predictability of cay-a modified consumption-wealth ratio-once we consider a set of important countries from a global perspective. We chose to work with the set of G7 countries, which represent more than 64% of net global wealth and 46% of global GDP at market exchange rates. We evaluate the forecasting performance of cay using a paneldata approach, since applying cointegration and other time-series techniques is now standard practice in the panel-data literature. Hence, we generalize Lettau and Ludvigson's tests for a panel of important countries. We employ macroeconomic and financial quarterly data for the group of G7 countries, forming an unbalanced panel. For most countries, data is available from the early 1990s until 2014Q1, but for the U.S. economy it is available from 1981Q1 through 2014Q1. Results of an exhaustive empirical investigation are overwhelmingly in favor of the predictive power of cay in forecasting future stock returns and excess returns.Fundação Getúlio Vargas2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402016000400419Revista Brasileira de Economia v.70 n.4 2016reponame:Revista Brasileira de Economia (Online)instname:Fundação Getulio Vargas (FGV)instacron:FGV10.5935/0034-7140.20160022info:eu-repo/semantics/openAccessCastro,Andressa Monteiro deIssler,João Victoreng2017-01-12T00:00:00Zoai:scielo:S0034-71402016000400419Revistahttp://bibliotecadigital.fgv.br/ojs/index.php/rbe/issue/archivehttps://old.scielo.br/oai/scielo-oai.php||rbe@fgv.br1806-91340034-7140opendoar:2017-01-12T00:00Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV)false
dc.title.none.fl_str_mv Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
title Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
spellingShingle Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
Castro,Andressa Monteiro de
Consumption-Wealth Ratio
Stock Returns
Unbalanced Panel
Cointegrating Residual
title_short Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
title_full Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
title_fullStr Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
title_full_unstemmed Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
title_sort Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries
author Castro,Andressa Monteiro de
author_facet Castro,Andressa Monteiro de
Issler,João Victor
author_role author
author2 Issler,João Victor
author2_role author
dc.contributor.author.fl_str_mv Castro,Andressa Monteiro de
Issler,João Victor
dc.subject.por.fl_str_mv Consumption-Wealth Ratio
Stock Returns
Unbalanced Panel
Cointegrating Residual
topic Consumption-Wealth Ratio
Stock Returns
Unbalanced Panel
Cointegrating Residual
description Using the theoretical framework of Lettau & Ludvigson (2001), we perform an empirical investigation on how widespread is the predictability of cay-a modified consumption-wealth ratio-once we consider a set of important countries from a global perspective. We chose to work with the set of G7 countries, which represent more than 64% of net global wealth and 46% of global GDP at market exchange rates. We evaluate the forecasting performance of cay using a paneldata approach, since applying cointegration and other time-series techniques is now standard practice in the panel-data literature. Hence, we generalize Lettau and Ludvigson's tests for a panel of important countries. We employ macroeconomic and financial quarterly data for the group of G7 countries, forming an unbalanced panel. For most countries, data is available from the early 1990s until 2014Q1, but for the U.S. economy it is available from 1981Q1 through 2014Q1. Results of an exhaustive empirical investigation are overwhelmingly in favor of the predictive power of cay in forecasting future stock returns and excess returns.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402016000400419
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402016000400419
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/0034-7140.20160022
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Getúlio Vargas
publisher.none.fl_str_mv Fundação Getúlio Vargas
dc.source.none.fl_str_mv Revista Brasileira de Economia v.70 n.4 2016
reponame:Revista Brasileira de Economia (Online)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Revista Brasileira de Economia (Online)
collection Revista Brasileira de Economia (Online)
repository.name.fl_str_mv Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv ||rbe@fgv.br
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