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Commodity currencies and commodity prices : an empirical analysis of the relationship between commodity currency exchange rates and commodity prices

机译:商品货币与商品价格:商品货币汇率与商品价格之间关系的实证分析

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摘要

It is a well-documented fact that changes in exchange rates are very difficult to explain usingmacroeconomic fundamentals such as, money supply, real income, interest rate, tradebalance and bond supply. Forecasting models based on macroeconomic variables, tend to dono better than a random walk model in out-of-sample exercises. This phenomenon is knownas the Meese and Rogoff puzzle. We re-examine this puzzle by employing commodity pricesas an alternative variable.We find that changes in commodity prices have power in explaining fluctuations incommodity currency exchange rates both in-sample and out-of-sample. This relationship islinear in nature and strongest at the daily frequency. The relationship is present for all fourstudied economies and does not weaken when the GBP is used instead of USD as a basecurrency. The observed relationship is also robust to using either the recursive or rollingestimation scheme.We also find that controlling for asymmetries in changes in commodity prices does not leadto any significant improvements in the performance of the commodity driven exchange ratemodel. The observed relationship, however, disappears when the lagged commodity pricechange is used as the predictor instead of the realized change.
机译:一个有据可查的事实是,使用宏观经济基本面,例如货币供应,实际收入,利率,贸易平衡和债券供应,很难解释汇率的变化。在样本外活动中,基于宏观经济变量的预测模型往往比随机游走模型更好。这种现象称为Meese和Rogoff难题。我们通过使用商品价格作为替代变量来重新审视这个难题。我们发现商品价格的变化可以解释样本内和样本外商品货币汇率的波动。这种关系本质上是线性的,并且在每天的频率上最强。在所有四个研究的经济体中都存在这种关系,当使用英镑而不是美元作为基本货币时,这种关系不会减弱。观察到的关系对于使用递归或滚动估计方案也很稳健。我们还发现,控制商品价格变化的不对称性不会导致商品驱动汇率模型的性能有任何显着改善。但是,当将滞后的商品价格变化用作预测变量而不是实现的变化时,观察到的关系消失。

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