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Commodity Return Predictability

Authors: Regina Hammerschmid;

Commodity Return Predictability

Abstract

The futures curve of an aggregate commodity portfolio is time-varying and changes from upward (contango) to downward sloping (backwardation) which implies negative or positive expected returns. The basis arises as a natural fundamental to predict commodity returns. However, the empirical evidence on the aggregate portfolio level is very weak. I construct a factor based on different forward rates along the futures curve and find that commodity returns are predictable. Economic fundamentals, such as industrial production or global trade, positively predict aggregate commodity returns and used jointly with this forward rates factor significantly improve overall predictability in- and out-of-sample. I find evidence that expected aggregate commodity returns are procyclical. When economic activity is high, the commodity yield curve tends to be inverted and expected returns are high.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
4
Average
Average
Top 10%
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