author_facet Gaio, Luiz Eduardo
Pimenta Júnior, Tabajara
Lima, Fabiano Guasti
Passos, Ivan Carlin
Stefanelli, Nelson Oliveira
Gaio, Luiz Eduardo
Pimenta Júnior, Tabajara
Lima, Fabiano Guasti
Passos, Ivan Carlin
Stefanelli, Nelson Oliveira
author Gaio, Luiz Eduardo
Pimenta Júnior, Tabajara
Lima, Fabiano Guasti
Passos, Ivan Carlin
Stefanelli, Nelson Oliveira
spellingShingle Gaio, Luiz Eduardo
Pimenta Júnior, Tabajara
Lima, Fabiano Guasti
Passos, Ivan Carlin
Stefanelli, Nelson Oliveira
International Journal of Managerial Finance
Value-at-risk performance in emerging and developed countries
Finance
Business, Management and Accounting (miscellaneous)
author_sort gaio, luiz eduardo
spelling Gaio, Luiz Eduardo Pimenta Júnior, Tabajara Lima, Fabiano Guasti Passos, Ivan Carlin Stefanelli, Nelson Oliveira 1743-9132 Emerald Finance Business, Management and Accounting (miscellaneous) http://dx.doi.org/10.1108/ijmf-10-2017-0244 <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to evaluate the predictive capacity of market risk estimation models in times of financial crises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.</jats:p> </jats:sec> Value-at-risk performance in emerging and developed countries International Journal of Managerial Finance
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title Value-at-risk performance in emerging and developed countries
title_unstemmed Value-at-risk performance in emerging and developed countries
title_full Value-at-risk performance in emerging and developed countries
title_fullStr Value-at-risk performance in emerging and developed countries
title_full_unstemmed Value-at-risk performance in emerging and developed countries
title_short Value-at-risk performance in emerging and developed countries
title_sort value-at-risk performance in emerging and developed countries
topic Finance
Business, Management and Accounting (miscellaneous)
url http://dx.doi.org/10.1108/ijmf-10-2017-0244
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description <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to evaluate the predictive capacity of market risk estimation models in times of financial crises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.</jats:p> </jats:sec>
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author Gaio, Luiz Eduardo, Pimenta Júnior, Tabajara, Lima, Fabiano Guasti, Passos, Ivan Carlin, Stefanelli, Nelson Oliveira
author_facet Gaio, Luiz Eduardo, Pimenta Júnior, Tabajara, Lima, Fabiano Guasti, Passos, Ivan Carlin, Stefanelli, Nelson Oliveira, Gaio, Luiz Eduardo, Pimenta Júnior, Tabajara, Lima, Fabiano Guasti, Passos, Ivan Carlin, Stefanelli, Nelson Oliveira
author_sort gaio, luiz eduardo
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description <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to evaluate the predictive capacity of market risk estimation models in times of financial crises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.</jats:p> </jats:sec>
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spelling Gaio, Luiz Eduardo Pimenta Júnior, Tabajara Lima, Fabiano Guasti Passos, Ivan Carlin Stefanelli, Nelson Oliveira 1743-9132 Emerald Finance Business, Management and Accounting (miscellaneous) http://dx.doi.org/10.1108/ijmf-10-2017-0244 <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to evaluate the predictive capacity of market risk estimation models in times of financial crises.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.</jats:p> </jats:sec> Value-at-risk performance in emerging and developed countries International Journal of Managerial Finance
spellingShingle Gaio, Luiz Eduardo, Pimenta Júnior, Tabajara, Lima, Fabiano Guasti, Passos, Ivan Carlin, Stefanelli, Nelson Oliveira, International Journal of Managerial Finance, Value-at-risk performance in emerging and developed countries, Finance, Business, Management and Accounting (miscellaneous)
title Value-at-risk performance in emerging and developed countries
title_full Value-at-risk performance in emerging and developed countries
title_fullStr Value-at-risk performance in emerging and developed countries
title_full_unstemmed Value-at-risk performance in emerging and developed countries
title_short Value-at-risk performance in emerging and developed countries
title_sort value-at-risk performance in emerging and developed countries
title_unstemmed Value-at-risk performance in emerging and developed countries
topic Finance, Business, Management and Accounting (miscellaneous)
url http://dx.doi.org/10.1108/ijmf-10-2017-0244