## Abstract This study evaluates the forecasting performance of extreme‐value volatility estimators for the equity‐based Nifty Index using two‐scale realized volatility. This benchmark mitigates the effect of microstructure noise in the realized volatility. Extreme‐value estimates with relatively s
A comparative study of alternative extreme-value volatility estimators
✍ Scribed by Turan G. Bali; David Weinbaum
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 147 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0270-7314
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✦ Synopsis
Recent advances in econometric methodology and newly available sources of data are used to examine empirically the performance of the various extreme-value volatility estimators that have been proposed over the past two decades. Overwhelming support is found for the use of extreme-value estimators when computing daily volatility measures across all assets: Daily extreme-value volatility estimators are both less biased and substantially more efficient than the traditional close-to-close estimator. In the case of weekly and monthly measures, the results still suggest that extreme-value estimators are appropriate, but the evidence is more mixed.
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We thank the editor, Robert Webb, and an anonymous referee for their helpful comments. We also thank Thorben Lubnau, Tyge-F. Kummer, and the participants of the 2nd International Finance Conference of the Indian Institute of Management, Calcutta for their suggestions.
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