Volatility Forecasting and Value-at-Risk: An Application to Cattle Feeding
Manfredo, Mark Ronald
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https://hdl.handle.net/2142/83029
Description
Title
Volatility Forecasting and Value-at-Risk: An Application to Cattle Feeding
Author(s)
Manfredo, Mark Ronald
Issue Date
1999
Doctoral Committee Chair(s)
Leuthold, Raymond M.
Department of Study
Agricultural Economics
Discipline
Agricultural Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Finance
Language
eng
Abstract
Based on mean-squared error criteria, the overall conclusion of the volatility forecasting exercise mirrors that found in the literature: performance of any volatility forecast is both data and horizon specific. However, composite techniques, especially simple composites that combine both conditional time series and implied volatility forecasts, perform well here. Interestingly, correlations, not volatility forecasts, were found to be the dominant factor influencing various Value-at-Risk measures ability to forecast large losses in the cattle feeding margin. Variances and correlations developed using the JP Morgan's Risk Metrics method with a decay factor of 0.97 provided superior Value-at-Risk estimates among other well calibrated specifications. This research is one of the few known empirical applications of composite volatility forecasting and the first known application of Value-at-Risk in the context of agriculture.
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