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Article . 2019
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Article . 2018 . Peer-reviewed
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SIAM Journal on Financial Mathematics
Article . 2019 . Peer-reviewed
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Should Commodity Investors Follow Commodities' Prices?

Should commodity investors follow commodities' prices?
Authors: Paolo Guasoni; Antonella Tolomeo; Gu Wang 0002;

Should Commodity Investors Follow Commodities' Prices?

Abstract

Summary: Most institutional investors gain access to commodities through diversified index funds, even though mean-reverting prices and low correlation among commodities' returns suggest that two-fund separation does not hold for commodities. In contrast to demand for stocks and bonds, we find that, on average, demand for commodities is largely insensitive to risk aversion, with intertemporal hedging demand playing a major role for more risk averse investors. Comparing the optimal strategies of investors who observe only the index to those of investors who observe all commodities, we find that information on commodity prices leads to significant welfare gains, even if trading is confined to the index only.

Country
Italy
Keywords

portfolio choice, Portfolio theory, long run, Commodities; Filtering; Intertemporal hedging; Long run; Portfolio choice, commodities, filtering, intertemporal hedging

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    popularity
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    influence
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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!
6
Top 10%
Average
Average
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