Long-range dependence in returns and volatility of Central European Stock Indices
AbstractIn the paper, we research on the presence of long-range dependence in returns and volatility of Hungarian (BUX), Czech (PX) and Polish (WIG) stock indices between years 1997 and 2009 with a use of classical and modified rescaled range and rescaled variance analyses. Moving block bootstrap with pre-whitening and post-blackening is used for a construc- tion of confidence intervals for the hypothesis testing. We show that there is no significant long-range dependence in returns of all examined indices. However, significant long-range dependence is detected in volatility of all three indices. The results for returns are contradictory with several stud- ies which claim that developing markets are persistent. However, majority of these studies either do not use the confidence intervals at all or only the ones based on standard normal distribution. Therefore, the results of such studies should be reexamined and reinterpreted.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by The Czech Econometric Society in its journal Bulletin of the Czech Econometric Society.
Volume (Year): 17 (2010)
Issue (Month): 27 ()
long-range dependence; bootstrapping; rescaled range analysis; rescaled variance analysis;
Other versions of this item:
- Ladislav Kristoufek, 2010. "Long-range dependence in returns and volatility of Central European Stock Indices," Working Papers IES 2010/03, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2010.
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Ladislav Kristoufek, 2013. "Testing power-law cross-correlations: Rescaled covariance test," Papers 1307.4727, arXiv.org, revised Aug 2013.
- Ladislav Kristoufek, 2013.
"Mixed-correlated ARFIMA processes for power-law cross-correlations,"
1307.6046, arXiv.org, revised Aug 2013.
- Kristoufek, Ladislav, 2013. "Mixed-correlated ARFIMA processes for power-law cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6484-6493.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jozef Barunik).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.