Wavelet Transforms and Commodity Prices
AbstractTraders in commodity markets may have different time horizons. This paper uses a scale analysis to investigate heterogeneous trading in such markets. Estimates are presented for price correlations by scale and long memory in the volatility of commodity prices. Wavelet variance is estimated using non-decimated wavelet transforms. Wavelets have the potential to be a useful tool for scale analysis in economics.
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Bibliographic InfoArticle provided by De Gruyter in its journal Studies in Nonlinear Dynamics & Econometrics.
Volume (Year): 9 (2005)
Issue (Month): 1 (March)
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Web page: http://www.degruyter.com
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