Time-Bridge Estimators of Integrated Variance

Economy – Quantitative Finance – Statistical Finance

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

42 pages with 4 figures

Scientific paper

We present a set of log-price integrated variance estimators, equal to the sum of open-high-low-close bridge estimators of spot variances within $n$ subsequent time-step intervals. The main characteristics of some of the introduced estimators is to take into account the information on the occurrence times of the high and low values. The use of the high's and low's of the bridge associated with the original process makes the estimators significantly more efficient that the standard realized variance estimators and its generalizations. Adding the information on the occurrence times of the high and low values improves further the efficiency of the estimators, much above those of the well-known realized variance estimator and those derived from the sum of Garman and Klass spot variance estimators. The exact analytical results are derived for the case where the underlying log-price process is an It\^o stochastic process. Our results suggests more efficient ways to record financial prices at intermediate frequencies.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Time-Bridge Estimators of Integrated Variance does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Time-Bridge Estimators of Integrated Variance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Time-Bridge Estimators of Integrated Variance will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-16277

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.