Central bank research hub - Papers by Antonio Carlos Figueiredo Pinto
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Research hub papers by author Antonio Carlos Figueiredo PintoenPredicting Exchange Rate Volatility in Brazil: an approach using quantile autoregression
http://www.bcb.gov.br/pec/wps/ingl/wps466.pdf
Central Bank of Brazil Working Papers by Alessandra Pasqualina Viola, Marcelo Cabus Klotzle, Antonio Carlos Figueiredo Pinto and Wagner Piazza GaglianonePredicting Exchange Rate Volatility in Brazil: an approach using quantile autoregression2017-11-07T12:30:08ZWe apply quantile regression in some of its new formulations to analyze exchange rate volatility. We use the conditional autoregressive value at risk (CAViaR) model of Engle and Manganelli (2004), which applies autoregressive functions to quantile regression to estimate volatility. That model has proved effective when compared to others for various purposes. We not only compare the forecasting power of models based on quantile regression with some models of the GARCH family, but also examine the behavior of the exchange rate along its conditional distribution and its consequent volatility. When applying CAViaR in the whole distribution, our results show differentiation of the angular coefficients for each quantile interval of the distribution for the asymmetric CAViaR model. With respect to the exchange rate volatility, we build forecasts from 60 models and use two models as reference to apply the predictive ability test of Giacomini and White (2006). The results indicate that the prediction of the asymmetric CAViaR model with quantile interval of (1, 99) is better than (or equal to) 66% of the models and worse than 34%. In turn, the other benchmark model, the GARCH (1,1), is worse than 71% of the models, better than 13%, and equal in forecasting precision to 16% of the modelsPredicting Exchange Rate Volatility in Brazil: an approach using quantile autoregressionFull texthttp://www.bcb.gov.br/pec/wps/ingl/wps466.pdfMarcelo Cabus KlotzleAntonio Carlos Figueiredo PintoAlessandra Pasqualina ViolaWagner P. GaglianoneAlessandra Pasqualina Viola, Marcelo Cabus Klotzle, Antonio Carlos Figueiredo Pinto and Wagner Piazza Gaglianone2017-11Central Bank of Brazil Working PapersC14C22C53F31G17Estimating the Credibility of Brazilian Monetary Policy using Forward Measures and a State-Space Model
http://www.bcb.gov.br/pec/wps/ingl/wps463.pdf
Central Bank of Brazil Working Papers by Flávio de Freitas Val, Wagner Piazza Gaglianone, Marcelo Cabus Klotzle and Antonio Carlos Figueiredo PintoEstimating the Credibility of Brazilian Monetary Policy using Forward Measures and a State-Space Model2017-09-30T17:36:59ZEstimating the Credibility of Brazilian Monetary Policy using Forward Measures and a State-Space ModelFull texthttp://www.bcb.gov.br/pec/wps/ingl/wps463.pdfFlávio de Freitas ValMarcelo Cabus KlotzleAntonio Carlos Figueiredo PintoWagner P. GaglianoneFlávio de Freitas Val, Wagner Piazza Gaglianone, Marcelo Cabus Klotzle and Antonio Carlos Figueiredo Pinto2017-09Central Bank of Brazil Working PapersE4E5