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Multivariate asymmetric loss functions of the European Central Bank

机译:欧洲央行的多变量不对称损失职能

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This study investigates asymmetric loss functions in the forecasts of real output growth and inflation published by the European Central Bank (ECB). In contrast to previous studies that examined each variable independently, this study evaluates the ECB forecasts in a multivariate framework, which accommodates the interaction of forecast errors of different forecast variables. The empirical results indicate that ECB is likely to produce under-predicted real output growth and over-predicted inflation forecasts for the current year. For the next-year forecast, ECB produces unbiased inflation forecast by applying multivariate framework, while the forecast of real output growth is over-predicted. Those forecasts are rational under multivariate asymmetric loss functions. Our results suggest that ECB attempts to maintain its credibility by providing unbiased inflation forecasts, and thus, puts first priority on price stabilization for medium term.
机译:本研究调查了欧洲中央银行(欧洲央行)公布的实际产出增长和通货膨胀预测中的不对称损失功能。 与先前的研究相比,该研究评估了多元框架中的ECB预测,该预测的预测变量的预测误差的相互作用。 经验结果表明,欧洲央行可能会在本年度的预测实际产出增长和过度预测的通胀预测中产生。 对于下一年的预测,欧洲央行通过应用多元框架产生无偏见的通胀预测,而实际产出增长预测过度预测。 这些预测在多变量不对称损失功能下是合理的。 我们的研究结果表明,欧洲央行试图通过提供无偏见的通胀预测来维持其可信度,从而对中期价格稳定进行首要任务。

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