## Abstract This paper examines the estimation and forecasting performance of rangeβbased volatility estimators for stocks, with twoβscales realized volatility as the benchmark. There is evidence that the daily rangeβbased estimators provide an efficient and lowβbias alternative to the returnβbased
β¦ LIBER β¦
Evaluating and improving GARCH-based volatility forecasts with range-based estimators
β Scribed by Hung, Jui-Cheng; Lou, Tien-Wei; Wang, Yi-Hsien; Lee, Jun-De
- Book ID
- 125837216
- Publisher
- Taylor and Francis Group
- Year
- 2013
- Tongue
- English
- Weight
- 147 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0003-6846
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