Measuring Market Risk Of The Cattle Feeding Margin: An Application Of Value-At-Risk Analysis
AbstractVaR gives a prediction of potential portfolio losses, with a certain level of confidence, that may be encountered over a specified time period due to adverse price movements in the portfolio's assets. For example, a VaR of 1 million dollars at the 95% level of confidence implies that overall portfolio losses should not exceed 1 million dollars more than 5% of the time over a given holding period. This research examines the effectiveness of VaR measures, developed using alternative estimation techniques, in predicting large losses in the cattle feeding margin. Results show that several estimation techniques, both parametric and non-parametric, provide well calibrated VaR estimates such that violations (losses exceed the VaR estimate) are commensurate with the desired level of confidence. In particular, estimates developed using JP Morgan's Risk Metrics methodology seem promising.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1999 Annual meeting, August 8-11, Nashville, TN with number 21628.
Date of creation: 1999
Date of revision:
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Value-at-Risk; Cattle Feeding; Volatility; Livestock Production/Industries; Risk and Uncertainty;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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