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CIR paths stay positive and do not explode under the Feller condition

Statement

Assume AC and the Brownian conventions of Locally Lipschitz Itô SDE on an open state domain. Let κ,θ,σ>0, let x0>0 be deterministic, and suppose 2κθ≥σ2. Then the CIR SDE dXt=κ(θ−Xt)dt+σXt dWt,X0=x0, has a unique global strong solution on every finite horizon. Its paths remain strictly positive and finite, and for every finite p≥1, sup⁡0≤t≤TEXtp<∞. No negative-moment bound or strong numerical convergence rate is asserted.

Facts & Assumptions

Given: AC; the local SDE definition on U=(0,∞); positive κ,θ,σ,x0 with 2κθ≥σ2; and the Lamperti equation supplier.

[F1]

For Z=X, the local Lamperti equation is dZ=(a/Z−κZ/2)dt+σdW/2, where a=(4κθ−σ2)/8>0. CIR Lamperti equation and unique positive implicit root

[F2]

Locally Lipschitz coefficients on an open domain have a unique local strong solution up to exit from compact subsets. Local strong existence and uniqueness up to exit for locally Lipschitz SDEs

[F3]

Itô's formula gives the generator Lf=qf′+12c2f′′ for dZ=q(Z)dt+c dW. Multidimensional Ito formula for Brownian-driven processes

[F4]

Stopping an Itô integral gives the integral of the stopped predictable integrand; for finite energy this integral is square-integrable, has mean zero, and satisfies the Itô isometry. Stopping an Ito integral Ito isometry and linearity in predictable L2

[F5]

For 0<ε<R, choose an exhaustion set Kn with [ε,R]⊂int⁡Kn. The local stopped solution Z(n) is continuous and adapted on [0,T]. Its first exit from (ε,R) is a stopping time: the event of exit by t is determined by the minimum and maximum on [0,t], measurable by rational-time approximation and the stopping-time definition. Because [ε,R]⊂int⁡Kn, this exit agrees with τε∧τR before the exhaustion exit. Local strong existence and uniqueness up to exit for locally Lipschitz SDEs The rationals embed densely in the reals Continuous-time stopping times and stopped sigma-algebras

[F6]

If u(t)≤A+∫0tBu(s)ds with nonnegative continuous u, then u(t)≤AeBt. Gronwall's integral inequality with variable and constant coefficients

[F7]

For 0<ε<R and g∈C2((0,∞)), a smooth cutoff with support in [ε/2,2R]⊂(0,∞) and equal to 1 on [ε,R] gives a global C2 extension g~ by setting g~=χg on (0,∞) and 0 elsewhere. Explicitly, use χ(z)=η((z−ε/2)/(ε/2))η((2R−z)/R), where ρ(u)=e−1/u for u>0, ρ(u)=0 for u≤0, and η(u)=ρ(u)/(ρ(u)+ρ(1−u)). On a stopped path in [ε,R], g~ and its first two derivatives agree with those of g.

[F8]

Dominated convergence gives continuity of t↦EVp(Zt∧τε,R) because the stopped path is continuous and Vp is bounded on [ε,R]. Dominated convergence

[F9]

Tonelli's theorem interchanges expectation and time integration for nonnegative measurable functions. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product

[F10]

Fatou's lemma passes uniform bounds for stopped nonnegative moments to the almost-sure limit. Fatou's lemma

[A1]

AC is inherited from the local Brownian and Itô interfaces. The Axiom of Choice

Proof

Given: The hypotheses and suppliers in the Statement and Facts.

1.1F1F2givenalgebra

Put z0=x0 and q(z)=a/z−κz/2 on U=(0,∞), with constant diffusion c=σ/2. The function q is C1, hence bounded and Lipschitz on every compact subset of U; c is constant, and z0>0 is deterministic with finite second moment. Apply [F2] directly to these coefficients and initial value to obtain the unique maximal local solution Z of dZ=q(Z)dt+c dW. This construction uses the local theorem for the displayed transformed coefficients; it does not reverse [F1], which only transforms a pre-existing CIR solution. Put δ=8aσ2=4κθσ2−1. The Feller inequality gives δ≥1.

1.2F3F4F5F7givenalgebra

Define s(z)=∫1zu−δexp⁡ ⁣(2κu2σ2)du,z>0. Then s′′(z)/s′(z)=−δ/z+4κz/σ2, and direct substitution gives Ls(z)=s′(z)(az−κ2z+σ28(−δz+4κzσ2))=0. Fix 0<ε<z0<R, define τε=inf⁡{t<ζ:Zt≤ε} and τR=inf⁡{t<ζ:Zt≥R} (with inf⁡∅=∞), and set τε,R=τε∧τR∧T. By [F5], this interval-exit time is a stopping time. Extend s globally by [F7] and apply [F3] to the stopped process. The stopped stochastic integrand is bounded and has finite energy, so [F4] gives Es(ZT∧τε,R)=s(z0). On Aε,R={τε≤T, τε<τR} the stopped value is s(ε); on its complement it is at most s(R). Therefore P(Aε,R)≤s(R)−s(z0)s(R)−s(ε). Since s′(z)=z−δexp⁡(2κz2/σ2) and δ≥1, s(ε)→−∞ as ε↓0. Thus, for each fixed upper level R, the probability of reaching arbitrarily small positive levels before R by time T is zero. Taking a countable union over integer R>z0 excludes lower-boundary termination on paths bounded above; lower-boundary termination can therefore remain only on paths with unbounded upper excursions by time T.

2.1F2F3F4step 1.2givenalgebra

For V(z)=z2, the global Itô formula gives LV(z)=2zq(z)+c2=κθ−κz2≤κθ. For 0<ε<z0<R, stop at τε,R as above. The stopped stochastic integral has mean zero by [F4], so the pathwise generator bound gives EZT∧τε,R2≤z02+κθT. On the event of hitting R before ε by time T, the stopped value is R, hence R2P(τR≤T, τR<τε)≤z02+κθT. For fixed R, as ε↓0 these upper-exit events increase to {τR≤T}: on every path that reaches R by T, the positive continuous path up to its first hit has a positive minimum. Thus P(τR≤T)≤(z02+κθT)/R2, and letting R→∞ rules out upper escape by time T. A local solution cannot terminate while remaining in a compact subset of (0,∞), by [F2]. Step 1.2 excludes lower-boundary termination on bounded paths, and this estimate excludes paths with unbounded upper excursions; hence Z is global and strictly positive on [0,T].

3.1F1F2F3step 2.1givenalgebra

Set X=Z2. Applying [F3] to the global C2 function z↦z2 gives dXt=(2Ztq(Zt)+c2)dt+2cZt dWt=κ(θ−Xt)dt+σXt dWt, since 2a+c2=κθ and 2c=σ. Thus the CIR equation has a global positive strong solution. If X~ is any other positive local strong CIR solution with initial value x0, [F1] makes X~ a local solution of the same q,c equation; local uniqueness in [F2] makes it equal to Z up to every compact exit, so X~=X.

4.1A1F3F4F6F7F8F9F10step 2.1step 3.1givenalgebra∎

For any p≥1, let Vp(z)=z2p on (0,∞). For each 0<ε<z0<R, use [F7] to extend Vp to a global C2 function agreeing on [ε,R], and apply [F3] to the stopped process. Its generator on the stopped path is LVp(z)=(2pa+p(2p−1)σ24)z2p−2−pκz2p≤Cp(1+z2p). The stopped stochastic integral has mean zero by [F4]. For fixed ε,R, dominated convergence [F8] makes u(t)=EVp(Zt∧τε,R) continuous, and Tonelli [F9] justifies the expectation of its time-integrated generator. Gronwall [F6] gives sup⁡0<ε<z0<Rsup⁡t≤TEVp(Zt∧τε,R)≤Cp,T(1+z02p). Since Z is global, continuous and strictly positive on [0,T], these stopping times equal T eventually along any sequence ε↓0, R↑∞ on almost every path. Fatou's lemma [F10] then yields sup⁡t≤TEZt2p<∞, and X=Z2 gives the claimed CIR moment bound. AC is exactly [A1].

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