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Stationary and Nonstationary Behaviour of the Term Structure: A Nonparametric Characterization

Meeks, Roland; Bowsher, Clive G.

Description

We provide simple nonparametric conditions for the order of integration of the term structure of zero-coupon yields. A principal benchmark model studied is one with a limiting yield and limiting term premium, and in which the logarithmic expectations theory (ET) holds. By considering a yield curve with a complete term structure of bond maturities, a linear vector autoregressive process is constructed that provides an arbitrarily accurate representation of the yield curve as its cross-sectional...[Show more]

dc.contributor.authorMeeks, Roland
dc.contributor.authorBowsher, Clive G.
dc.date.accessioned2015-12-13T22:38:15Z
dc.identifier.issn1350-486X
dc.identifier.urihttp://hdl.handle.net/1885/77467
dc.description.abstractWe provide simple nonparametric conditions for the order of integration of the term structure of zero-coupon yields. A principal benchmark model studied is one with a limiting yield and limiting term premium, and in which the logarithmic expectations theory (ET) holds. By considering a yield curve with a complete term structure of bond maturities, a linear vector autoregressive process is constructed that provides an arbitrarily accurate representation of the yield curve as its cross-sectional dimension goes to infinity. We use this to provide parsimonious conditions for the integration order of interest rates in terms of the cross-sectional rate of convergence of the innovations to yields, vt(n), as n → ∞. The yield curve is stationary if and only if converges a.s., or equivalently the innovations (shocks) to the logarithm of the bond prices converge a.s. Otherwise yields are nonstationary and I(1) in the benchmark model, an integration order greater than 1 being ruled out by the a.s. convergence of vt(n), as n → ∞. A necessary but not sufficient condition for stationarity is that the limiting yield is constant over time. Our results therefore imply the need usually to adopt an I(1) framework when using the ET. We provide ET-consistent yield curve forecasts, new means to evaluate the ET and insight into connections between the dynamics and the long maturity end of the term structure.
dc.publisherChapman & Hall
dc.sourceApplied Mathematical Finance
dc.subjectKeywords: expectations hypothesis; integration; long rate; stationarity and nonstationarity; term structure of interest rates; vector autoregression
dc.titleStationary and Nonstationary Behaviour of the Term Structure: A Nonparametric Characterization
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume20
dc.date.issued2013
local.identifier.absfor010200 - APPLIED MATHEMATICS
local.identifier.ariespublicationf5625xPUB6328
local.type.statusPublished Version
local.contributor.affiliationMeeks, Roland, College of Asia and the Pacific, ANU
local.contributor.affiliationBowsher, Clive G., University of Bristol
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage137
local.bibliographicCitation.lastpage166
local.identifier.doi10.1080/1350486X.2012.666120
dc.date.updated2016-02-24T09:28:35Z
local.identifier.scopusID2-s2.0-84873979931
CollectionsANU Research Publications

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