Risk premia and seasonality in commodity futures
Constantino Hevia,
Ivan Petrella and
Martin Sola
No 591, Bank of England working papers from Bank of England
Abstract:
We develop and estimate a multifactor affine model of commodity futures that allows for stochastic variations in seasonality. We show conditions under which the yield curve and the cost-of-carry curve adopt augmented Nelson and Siegel functional forms. This restricted version of the model is parsimonious, does not suffer from identification problems, and matches well the yield curve and futures curve over time. We estimate the model using heating oil futures prices over the period 1984–2012. We find strong evidence of stochastic seasonality in the data. We analyse risk premia in futures markets and discuss two traditional theories of commodity futures: the theory of storage and the theory of normal backwardation. The data strongly supports the theory of storage.
Keywords: Commodity futures; Nelson and Siegel; seasonality; risk premium; theory of storage (search for similar items in EconPapers)
JEL-codes: E43 G13 Q02 Q40 (search for similar items in EconPapers)
Pages: 68 pages
Date: 2016-04-15
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.bankofengland.co.uk/-/media/boe/files/ ... C6341EE98F0001E41298 Full text (application/pdf)
Related works:
Journal Article: Risk premia and seasonality in commodity futures (2018) 
Working Paper: Risk Premia and Seasonality in Commodity Futures (2016) 
Working Paper: Risk Premia and Seasonality in Commodity Futures (2016) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boe:boeewp:0591
Access Statistics for this paper
More papers in Bank of England working papers from Bank of England Bank of England, Threadneedle Street, London, EC2R 8AH. Contact information at EDIRC.
Bibliographic data for series maintained by Digital Media Team ().