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: firstname.lastname@example.org., 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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