EconPapers    
Economics at your fingertips  
 

Optimally sampled realized range-based volatility estimators

Dimitrios Vortelinos ()

Research in International Business and Finance, 2014, vol. 30, issue C, 34-50

Abstract: Range-based volatility estimators are analyzed in both daily and intraday sampling frequency and are also compared to the realized volatility estimator. The family of realized range-based estimators is extended as three range-based estimators are introduced. These three realized Parkinson range-based estimators are estimated in an optimal sampling frequency. Empirical analysis concerns three major US spot equity indices. The descriptive statistics and the long-memory estimations are compared between the daily and realized range-based estimators, and across each group as well. The realized range-based estimators are also compared in terms of the properties of the jump components of volatility. Moreover, the relevant effects of jumps on volatility are assessed by the use of the class of Heterogeneous Autoregressive (HAR) models.

Keywords: Range; Realized volatility; Optimal sampling frequency; Long memory; Jumps; Heterogeneity (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S027553191300024X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:30:y:2014:i:c:p:34-50

DOI: 10.1016/j.ribaf.2013.05.002

Access Statistics for this article

Research in International Business and Finance is currently edited by T. Lagoarde Segot

More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:riibaf:v:30:y:2014:i:c:p:34-50