Obtaining and Predicting the Bounds of Realized Correlations
Swiss Journal of Economics and Statistics (SJES), 2014, vol. 150, issue III, 191-226
This paper argues that the inherent data problems make precise point identification of realized correlation difficult but identification bounds in the spirit of Manski (1995) can be derived. These identification bounds allow for a more robust approach to inference especially when the realized correlation is used for estimating other risk measures. We forecast the identification bounds using the HAR model of Corsi (2003) using data during the year of onset of the credit crisis and find that the bounds provide good predictive coverage of the realized correlation for both 1- and 10-step forecasts even in volatile periods.
Keywords: High frequency data; realized covariance; partial identification; Bounds (search for similar items in EconPapers)
JEL-codes: C14 C18 C58 G17 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ses:arsjes:2014-iii-2
Access Statistics for this article
Swiss Journal of Economics and Statistics (SJES) is currently edited by Rafael Lalive
More articles in Swiss Journal of Economics and Statistics (SJES) from Swiss Society of Economics and Statistics (SSES) Contact information at EDIRC.
Bibliographic data for series maintained by Peter Steiner ().