Range-Based Covariance Estimation Using High-Frequency Data: The Realized Co-Range -super-
AbstractWe introduce the realized co-range, a novel estimator of the daily covariance between asset returns based on intraday high--low price ranges. In an ideal world, the co-range is five times more efficient than the realized covariance, which uses cross-products of intraday returns, when sampling at the same frequency. In Monte Carlo simulations, we find that for plausible levels of bid--ask bounce, infrequent trading and nonsynchronous trading, the realized co-range still improves upon the realized covariance. In a volatility timing strategy for S&P500, bond and gold futures, we find that the co-range estimates are less noisy, which results in lower transaction costs and higher Sharpe ratios. Copyright The Author 2009. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: email@example.com., Oxford University Press.
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Bibliographic InfoArticle provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.
Volume (Year): 7 (2009)
Issue (Month): 4 (Fall)
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- Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2013. "Stylized Facts and Dynamic Modeling of High-frequency Data on Precious Metals," Working Papers on Finance, University of St. Gallen, School of Finance 1318, University of St. Gallen, School of Finance.
- Boudt, Kris & Cornelissen, Jonathan & Croux, Christophe, 2012. "Jump robust daily covariance estimation by disentangling variance and correlation components," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 56(11), pages 2993-3005.
- Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2014. "Precious Metals Under the Microscope: A High-Frequency Analysis," Working Papers on Finance, University of St. Gallen, School of Finance 1409, University of St. Gallen, School of Finance.
- Vortelinos, Dimitrios I., 2010. "The properties of realized correlation: Evidence from the French, German and Greek equity markets," The Quarterly Review of Economics and Finance, Elsevier, Elsevier, vol. 50(3), pages 273-290, August.
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