TY - JOUR
T1 - Stationary and Nonstationary Behaviour of the Term Structure
T2 - A Nonparametric Characterization
AU - Bowsher, Clive G.
AU - Meeks, Roland
PY - 2013
Y1 - 2013
N2 - 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 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.
AB - 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 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.
KW - expectations hypothesis
KW - integration
KW - long rate
KW - stationarity and nonstationarity
KW - term structure of interest rates
KW - vector autoregression
UR - http://www.scopus.com/inward/record.url?scp=84873979931&partnerID=8YFLogxK
U2 - 10.1080/1350486X.2012.666120
DO - 10.1080/1350486X.2012.666120
M3 - Article
SN - 1350-486X
VL - 20
SP - 137
EP - 166
JO - Applied Mathematical Finance
JF - Applied Mathematical Finance
IS - 2
ER -