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Forecasting monthly LME Copper returns

Authors: Lervik, Nils; Thorsell, Philip;

Forecasting monthly LME Copper returns

Abstract

We evaluate if monthly LOCADY returns on the London Metal Exchange can be accurately predicted one, two and three months ahead. In total ten models are constructed using time-varying parameters and bandwidth optimization. The models are evaluated against one another using the following pseudo-out-of sample test statistics: Diebold and Mariano (1995), Clark and West (2006), Giacomini and White (2006) and the Campbell and Thompson (2008) out-of-sample R2. The test statistics generated are inconsistent. A few models are able to generate positive out-of-sample R2 values for one and two month predictions. No model significantly outperforms a random walk for the three step ahead prediction.

MSc in Finance

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Sweden
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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