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Measuring Market Risk Of The Cattle Feeding Margin: An Application Of Value-At-Risk Analysis

  • Manfredo, Mark R.
  • Leuthold, Raymond M.
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    VaR 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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    File URL: http://purl.umn.edu/21628
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    Paper 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.

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    Date of creation: 1999
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    Handle: RePEc:ags:aaea99:21628
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    1. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Economic Policy Review, Federal Reserve Bank of New York, issue Apr, pages 39-69.
    2. Jose A. Lopez, 1997. "Regulatory evaluation of value-at-risk models," Research Paper 9710, Federal Reserve Bank of New York.
    3. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    4. Ted C. Schroeder & Marvin L. Hayenga, 1988. "Comparison of selective hedging and options strategies in cattle feedlot risk management," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(2), pages 141-156, 04.
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