Converting 1-Day Volatility to h-Day Volatitlity: Scaling by Root-h is Worse Than You Think
Francis Diebold,
Andrew Hickman,
Atsushi Inoue and
Til Schuermann
Center for Financial Institutions Working Papers from Wharton School Center for Financial Institutions, University of Pennsylvania
Abstract:
We show that the common practice of converting 1-day volatility estimates to h-day estimates by scaling by the sqaure root of h is inappropriate and produces overestimates of the variability of long-horizon volatility. We conclude that volatility models are best tailored to tasks: if interest centers on long-horizon volatility, then a long-horizon volatility model should be used. Economic considerations, however, confound even that prescription and point to important directions for future research.
Date: 1997-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://fic.wharton.upenn.edu/fic/papers/97/9734.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://fic.wharton.upenn.edu/fic/papers/97/9734.pdf [301 Moved Permanently]--> https://wifpr.wharton.upenn.edu/fic/papers/97/9734.pdf)
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:wop:pennin:97-34
Access Statistics for this paper
More papers in Center for Financial Institutions Working Papers from Wharton School Center for Financial Institutions, University of Pennsylvania Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().