Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)

<p>In recent years there has been a considerable development in modelling&nbsp;non-linearities and asymmetries in economic and financial variables. The aim of this work is to compare the forecasting performance of different models for the returns of some of the most traded exchange rates i...

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Main Authors: Gianna Boero, Emanuela Marrocu
Format: Article
Language:Italian
Published: Associazione Economia civile 2012-04-01
Series:Moneta e Credito
Subjects:
Online Access:http://ojs.uniroma1.it/index.php/monetaecredito/article/view/9805
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spelling doaj-437c78a7f7b74dfb964130a8d497f9dd2020-11-24T20:53:57ZitaAssociazione Economia civileMoneta e Credito2037-36512012-04-01532129799Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)Gianna BoeroEmanuela Marrocu<p>In recent years there has been a considerable development in modelling&nbsp;non-linearities and asymmetries in economic and financial variables. The aim of this work is to compare the forecasting performance of different models for the returns of some of the most traded exchange rates in terms of the US dollar, namely the French franc (FF/$), the German mark (DM/$) and the Japanese yen (Y/$. We compare the relative performance of some nonlinear models and contrast them with their linear counterparts. Although we find evidence of some forecasting gains from nonlinear models, the results are sensitive to the forecast horizon and to the metric adopted to measure the forecasting accuracy. The use of data at different frequencies allows us to evaluate the possible effects of temporal aggregation.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p><strong>JEL Codes:</strong> F31, F37, C53</p><p><strong>Keywords:</strong> Exchange Rates, Forecasting, Modeling</p>http://ojs.uniroma1.it/index.php/monetaecredito/article/view/9805Exchange Rates, Forecasting, Modeling
collection DOAJ
language Italian
format Article
sources DOAJ
author Gianna Boero
Emanuela Marrocu
spellingShingle Gianna Boero
Emanuela Marrocu
Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)
Moneta e Credito
Exchange Rates, Forecasting, Modeling
author_facet Gianna Boero
Emanuela Marrocu
author_sort Gianna Boero
title Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)
title_short Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)
title_full Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)
title_fullStr Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)
title_full_unstemmed Modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (The Performance of Nonlinear Exchange Rate Models: A Forecasting Comparison with Data at Different Frequencies)
title_sort modelli non lineari per i tassi di cambio: un confronto previsivo con dati a diversa frequenza (the performance of nonlinear exchange rate models: a forecasting comparison with data at different frequencies)
publisher Associazione Economia civile
series Moneta e Credito
issn 2037-3651
publishDate 2012-04-01
description <p>In recent years there has been a considerable development in modelling&nbsp;non-linearities and asymmetries in economic and financial variables. The aim of this work is to compare the forecasting performance of different models for the returns of some of the most traded exchange rates in terms of the US dollar, namely the French franc (FF/$), the German mark (DM/$) and the Japanese yen (Y/$. We compare the relative performance of some nonlinear models and contrast them with their linear counterparts. Although we find evidence of some forecasting gains from nonlinear models, the results are sensitive to the forecast horizon and to the metric adopted to measure the forecasting accuracy. The use of data at different frequencies allows us to evaluate the possible effects of temporal aggregation.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p><strong>JEL Codes:</strong> F31, F37, C53</p><p><strong>Keywords:</strong> Exchange Rates, Forecasting, Modeling</p>
topic Exchange Rates, Forecasting, Modeling
url http://ojs.uniroma1.it/index.php/monetaecredito/article/view/9805
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