2016
DOI: 10.1007/s00181-015-1053-5
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Fluctuations of the real exchange rate, real interest rates, and the dynamics of the price of gold in a small open economy

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 15 publications
(7 citation statements)
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“…Alternatively, a quantile-based loss function (check function) could be used to evaluate the forecast errors implied by the quantile-based approach. This quantiles-based loss function is asymmetric (except in the special case where the conditional median is being analyzed) and accounts for the fact that the quantileregression model adjusts forecasts of stock returns upward or downward depending on the quantile under scrutiny [48][49][50]. In this paper, we use the standard quadratic loss function, which has been used in recent research in a quantile-regression context [51], because using the MSFE for both approaches ensures that the results for the forecast evaluations are comparable across the two different approaches.…”
Section: Forecasting Resultsmentioning
confidence: 99%
“…Alternatively, a quantile-based loss function (check function) could be used to evaluate the forecast errors implied by the quantile-based approach. This quantiles-based loss function is asymmetric (except in the special case where the conditional median is being analyzed) and accounts for the fact that the quantileregression model adjusts forecasts of stock returns upward or downward depending on the quantile under scrutiny [48][49][50]. In this paper, we use the standard quadratic loss function, which has been used in recent research in a quantile-regression context [51], because using the MSFE for both approaches ensures that the results for the forecast evaluations are comparable across the two different approaches.…”
Section: Forecasting Resultsmentioning
confidence: 99%
“…To assess the fit of the various predictive regression models, we used a relative performance statistic (see also Koenker and Machado 1999 ; Pierdzioch et al. 2014 , 2016 ). The relative performance RP is given by: where denotes the prediction error implied by the benchmark model and denotes the prediction error implied by the rival model.…”
Section: Methodsmentioning
confidence: 99%
“…In Equation ( 5), we simplify the notation by letting the matrix X t denote the predictors of the HAQR-RV model. In order to evaluate forecasts for the various quantiles of the conditional distribution of RV, we use an out-of-sample relative loss criterion [43,44]. The out-of-sample relative-loss criterion, R o , is defined as:…”
Section: The Har-rv Modelmentioning
confidence: 99%