Commodity risk in European dairy firms

Guillaume Bagnarosa, Mark Cummins, Michael Dowling, Fearghal Kearney

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We apply a multivariate mixed-data sampling (MIDAS) conditional quantile regression technique to understand the dairy commodity exposure of European dairy firms. Leveraging a theoretically sound hedonic dairy pricing framework, we show our approach is able to identify both market and operational risk. Profit margins for butter and milk price are particularly important for operational performance. Additional tests are provided, including an application of MIDAS quantile on a period of amplified dairy market risk. Our approach thus allows dairy firms to gain new perspectives on the significant risks posed by the current structure of dairy production in Europe.
Original languageEnglish
Pages (from-to)151-181
Number of pages31
JournalEuropean Review of Agricultural Economics
Issue number1
Early online date16 Nov 2021
Publication statusPublished - 02 Jan 2022


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