A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss

This study contributes to research on the nonparametric evaluation of German trade forecasts. To this end, I compute random classification and regression forests to analyze the optimality of annual German export and import growth forecasts from 1970 to 2017. A forecast is considered as optimal if a...

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Main Author: Christoph Behrens
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Economies
Subjects:
Online Access:https://www.mdpi.com/2227-7099/7/3/93
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author Christoph Behrens
author_facet Christoph Behrens
author_sort Christoph Behrens
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description This study contributes to research on the nonparametric evaluation of German trade forecasts. To this end, I compute random classification and regression forests to analyze the optimality of annual German export and import growth forecasts from 1970 to 2017. A forecast is considered as optimal if a set of predictors, which models the information set of a forecaster at the time of forecast formation, has no explanatory power for the corresponding (sign of the) forecast error. I analyze trade forecasts of four major German economic research institutes, a collaboration of German economic research institutes, and one international forecaster. For trade forecasts with a horizon of half-a-year, I cannot reject forecast optimality for all but one forecaster. In the case of a forecast horizon of one year, forecast optimality is rejected in more cases if the underlying loss function is assumed to be quadratic. Allowing for a flexible loss function results in more favorable assessment of forecast optimality.
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spelling doaj.art-da9479c91cd84544b5ddd0a6cbaa9f6c2022-12-22T01:56:29ZengMDPI AGEconomies2227-70992019-09-01739310.3390/economies7030093economies7030093A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible LossChristoph Behrens0Department of Economics, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, GermanyThis study contributes to research on the nonparametric evaluation of German trade forecasts. To this end, I compute random classification and regression forests to analyze the optimality of annual German export and import growth forecasts from 1970 to 2017. A forecast is considered as optimal if a set of predictors, which models the information set of a forecaster at the time of forecast formation, has no explanatory power for the corresponding (sign of the) forecast error. I analyze trade forecasts of four major German economic research institutes, a collaboration of German economic research institutes, and one international forecaster. For trade forecasts with a horizon of half-a-year, I cannot reject forecast optimality for all but one forecaster. In the case of a forecast horizon of one year, forecast optimality is rejected in more cases if the underlying loss function is assumed to be quadratic. Allowing for a flexible loss function results in more favorable assessment of forecast optimality.https://www.mdpi.com/2227-7099/7/3/93trade forecastsGerman economic research institutesforecast optimalityflexible lossrandom forests
spellingShingle Christoph Behrens
A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss
Economies
trade forecasts
German economic research institutes
forecast optimality
flexible loss
random forests
title A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss
title_full A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss
title_fullStr A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss
title_full_unstemmed A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss
title_short A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss
title_sort nonparametric evaluation of the optimality of german export and import growth forecasts under flexible loss
topic trade forecasts
German economic research institutes
forecast optimality
flexible loss
random forests
url https://www.mdpi.com/2227-7099/7/3/93
work_keys_str_mv AT christophbehrens anonparametricevaluationoftheoptimalityofgermanexportandimportgrowthforecastsunderflexibleloss
AT christophbehrens nonparametricevaluationoftheoptimalityofgermanexportandimportgrowthforecastsunderflexibleloss