A Bayesian analysis of hop price fluctuations

This paper quantifies the correlation between U.S. season average prices for hops with U.S. hop stocks and U.S. hop hectarage. The Hop Equilibrium Ratio, a measure of the supply/demand relationship for U.S. hops, was introduced. Through the Bayesian inference method, the authors used these data to c...

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Bibliographic Details
Main Authors: Douglas MacKinnon, Martin Pavlovič
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2020-12-01
Series:Agricultural Economics (AGRICECON)
Subjects:
Online Access:https://agricecon.agriculturejournals.cz/artkey/age-202012-0002_a-bayesian-analysis-of-hop-price-fluctuations.php
Description
Summary:This paper quantifies the correlation between U.S. season average prices for hops with U.S. hop stocks and U.S. hop hectarage. The Hop Equilibrium Ratio, a measure of the supply/demand relationship for U.S. hops, was introduced. Through the Bayesian inference method, the authors used these data to calculate the effect an incremental change to one metric had on the probability of directional changes of future U.S. season average prices (SAP). Between 2010 and 2020, the dominance of proprietary varieties created unprecedented cartel-like powers offering opportunities for supply- and price-management. Research results will enable more accurate forecasting and greater price stability in the hop industry.
ISSN:0139-570X
1805-9295