Working paper
Multivariate High-Frequency-Based Volatility (HEAVY) Models.
- Abstract:
- This paper introduces a new class of multivariate volatility models that utilizes high-frequency data. We discuss the models' dynamics and highlight their differences from multivariate GARCH models. We also discuss their covariance targeting speci cation and provide closed-form formulas for multi-step forecasts. Estimation and inference strategies are outlined. Empirical results suggest that the HEAVY model outperforms the multivariate GARCH model out-of-sample, with the gains being particularly signi cant at short forecast horizons. Forecast gains are obtained for both forecast variances and correlations.
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(Preview, pdf, 812.7KB, Terms of use)
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Authors
- Publisher:
- Nuffield College (University of Oxford)
- Series:
- Nuffield College Economics Working Papers
- Publication date:
- 2011-02-18
- Language:
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English
- UUID:
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uuid:269707c6-bb6c-4da3-9911-a640a3c183ca
- Local pid:
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oai:economics.ouls.ox.ac.uk:15025
- Deposit date:
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2011-08-16
- ARK identifier:
Terms of use
- Copyright date:
- 2011
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