TY - JOUR

T1 - Stationary and Nonstationary Behaviour of the Term Structure: A Nonparametric Characterization

AU - Meeks, Roland

AU - Bowsher, Clive G.

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.

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 -