Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading
Author | : Karim Bannouh |
Publisher | : |
Total Pages | : 0 |
Release | : 2012 |
ISBN-10 | : OCLC:1375246447 |
ISBN-13 | : |
Rating | : 4/5 (47 Downloads) |
Download or read book Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading written by Karim Bannouh and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce a heuristic bias-adjustment for the transaction price-based realized range estimator of daily volatility in the presence of bid-ask bounce and non-trading. The adjustment is an extension of the estimator proposed in Christensen et al. (2009). We relax the assumption that all intra-day high (low) transaction prices are at the ask (bid) quote. Using data-based simulations we obtain estimates of the probability that a given intraday range is (upward or downward) biased or not, which we use for a more refined bias-adjustment of the realized range estimator. Both Monte Carlo simulations and an empirical application involving a liquid and a relatively illiquid S&P500 constituent demonstrate that ex post measures and ex ante forecasts based on the heuristically adjusted realized range compare favorably to existing bias-adjusted (two time scales) realized range and (two time scales) realized variance estimators.