分位数的商品价格

Q4 Mathematics
Marilena Furno
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引用次数: 0

摘要

商品价格的平稳性提供了良好的可预测性和有效的政策干预。在分位数上的分析表明,价格在较低的分位数上是平稳的,而在较高的分位数上则不是。大宗商品价格的非平稳性通常与美国汇率系列的行为有关。分位数回归估计显示各分位数的系数变化。这表明该系列中存在异方差。一旦对包括汇率在内的异方差进行校正,整个序列的平稳性保持不变。这一发现削弱了汇率导致大宗商品价格持续上涨的说法。价格-汇率相关性反映了它们共同的异方差。在清洗/均方差序列中,相关性下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Commodity prices at the quantiles
Abstract Commodity price stationarity grants good predictability and effective policy intervention. The analysis at the quantiles shows that prices are stationary at the lower but not at the higher quantiles. The non-stationarity of commodity prices is often related to the behavior of the US exchange rate series. Quantile regression estimates show changing coefficients across quantiles. This signals the presence of heteroscedasticity in the series. Stationarity holds throughout once the series are corrected for heteroscedasticity, exchange rate included. This finding weakens the claim that exchange rates cause persistence in commodity prices. The price-exchange rate correlation mirrors their common heteroscedasticity. The correlation declines in the cleaned/homoscedastic series.
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