Can Spanned Term Structure Factors Drive Stochastic Yield Volatility?
Jens Christensen,
Jose Lopez and
Glenn Rudebusch
No 2014-3, Working Paper Series from Federal Reserve Bank of San Francisco
Abstract:
The ability of the usual factors from empirical arbitrage-free representations of the term structure?that is, spanned factors?to account for interest rate volatility dynamics has been much debated. We examine this issue with a comprehensive set of new arbitrage-free term structure specifications that allow for spanned stochastic volatility to be linked to one or more of the yield curve factors. Using U.S. Treasury yields, we find that much realized stochastic volatility cannot be associated with spanned term structure factors. However, a simulation study reveals that the usual realized volatility metric is misleading when yields contain plausible measurement noise. We argue that other metrics should be used to validate stochastic volatility models.
Keywords: arbitrage-free Nelson-Siegel model; term structure modeling; interest rate risk; model validation (search for similar items in EconPapers)
JEL-codes: C51 C52 E43 G12 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2014-01-16
New Economics Papers: this item is included in nep-mac, nep-ore and nep-sog
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.frbsf.org/economic-research/files/wp2014-03.pdf Full text (application/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:fip:fedfwp:2014-03
Ordering information: This working paper can be ordered from
DOI: 10.24148/wp2014-03
Access Statistics for this paper
More papers in Working Paper Series from Federal Reserve Bank of San Francisco Contact information at EDIRC.
Bibliographic data for series maintained by Federal Reserve Bank of San Francisco Research Library ().