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Evaluating multivariate volatility forecasts

  • Adam Clements



  • Mark Doolan



  • Stan Hurn



  • Ralf Becker


    (University of Manchester)

The performance of techniques for evaluating univariate volatility forecasts are well understood. In the multivariate setting however, the efficacy of the evaluation techniques is not developed. Multivariate forecasts are often evaluated within an economic application such as portfolio optimisation context. This paper aims to evaluate the efficacy of such techniques, along with traditional statistical based methods. It is found that utility based methods perform poorly in terms of identifying optimal forecasts whereas statistical methods are more effective.

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Paper provided by National Centre for Econometric Research in its series NCER Working Paper Series with number 41.

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Length: 29
Date of creation: 23 Feb 2009
Date of revision: 25 Nov 2009
Handle: RePEc:qut:auncer:2009_50
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