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Rice, irrigation and downside risk: a quantile analysis of risk exposure and mitigation on Korean farms
Author(s) -
Kyeongsu Kim,
JeanPaul Chavas,
Bradford L. Barham,
Jeremy D. Foltz
Publication year - 2014
Publication title -
european review of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.4
H-Index - 60
eISSN - 1464-3618
pISSN - 0165-1587
DOI - 10.1093/erae/jbt041
Subject(s) - downside risk , quantile , exploit , risk management , econometrics , valuation (finance) , quantile regression , economics , computer science , financial economics , finance , portfolio , computer security
This article develops a quantile moment approach to evaluate risk exposure and to illustrate risk valuation, and then applies it to examine the relative importance of downside risk and risk mitigation options associated with a highly controlled but stochastic production system on Korean farms. The econometric approach exploits a rich panel dataset to develop consistent and robust econometric estimates of the quantile moments needed to decompose and analyse risk outcomes. The results show that about 90 per cent of the cost of risk on Korean farms comes from exposure to downside risk. We also examine how management factors can help to mitigate risk exposure outcomes.

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