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Forecasting output growth tail risk using quantile regression framework

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Detalhes bibliográficos
Resumo:This thesis examines which financial indicator is the most accurate to model and predict the tail risk of output growth in the euro area. The CISS is more informative than other indicators that only focus on specific segment of the financial market. To capture the tail distribution information, the thesis implements quantile regression, capturing determined quantile of the output growth distribution. The forecast produced with the quantile regression for the 10th and the 5th quantile outperformed the standard OLS model in terms of forecasting evaluation metrics in predicting the 2008 output growth downfall, concluding that the quantile specification, combined with the CISS as financial indicator, improves the modeling and forecasting accuracy of tail risk output growth in the euro area.
Autores principais:Quattrini, Filippo
Assunto:Quantile regression Growth at risk Macro-financial linkages Time series
Ano:2023
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:This thesis examines which financial indicator is the most accurate to model and predict the tail risk of output growth in the euro area. The CISS is more informative than other indicators that only focus on specific segment of the financial market. To capture the tail distribution information, the thesis implements quantile regression, capturing determined quantile of the output growth distribution. The forecast produced with the quantile regression for the 10th and the 5th quantile outperformed the standard OLS model in terms of forecasting evaluation metrics in predicting the 2008 output growth downfall, concluding that the quantile specification, combined with the CISS as financial indicator, improves the modeling and forecasting accuracy of tail risk output growth in the euro area.