Geometric ergodicity of affine processes on cones

被引:11
作者
Mayerhofer, Eberhard [1 ]
Stelzer, Robert [2 ]
Vestweber, Johanna [2 ]
机构
[1] Univ Limerick, Dept Math & Stat, Limerick V94 T9PX, Ireland
[2] Ulm Univ, Inst Math Finance, Helmholtzstr 18, D-89075 Ulm, Germany
基金
爱尔兰科学基金会;
关键词
Affine process; Geometric ergodicity; Feller process; Foster-Lyapunov drift condition; Harris recurrence; Wishart process; MAXIMUM-LIKELIHOOD-ESTIMATION; STOCHASTIC VOLATILITY MODELS; MARKOVIAN PROCESSES; WISHART PROCESSES; TERM STRUCTURE; MOMENTS; STABILITY; DISTRIBUTIONS; STATIONARITY; OPTIONS;
D O I
10.1016/j.spa.2019.11.012
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For affine processes on finite-dimensional cones, we give criteria for geometric ergodicity - that is exponentially fast convergence to a unique stationary distribution. Ergodic results include both the existence of exponential moments of the limiting distribution, where we exploit the crucial affine property, and finite moments, where we invoke the polynomial property of affine semigroups. Furthermore, we elaborate sufficient conditions for aperiodicity and irreducibility. Our results are applicable to Wishart processes with jumps on the positive semidefinite matrices, continuous-time branching processes with immigration in high dimensions, and classical term-structure models for credit and interest rate risk. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:4141 / 4173
页数:33
相关论文
共 84 条
  • [1] Alfonsi A, 2015, B & SS BOCC SPR SER, V6, DOI 10.1007/978-3-319-05221-2
  • [2] Maximum likelihood estimation for Wishart processes
    Alfonsi, Aurelien
    Kebaier, Ahmed
    Rey, Clement
    [J]. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2016, 126 (11) : 3243 - 3282
  • [3] [Anonymous], 2018, TECH REP
  • [4] [Anonymous], PROBAB MATH STAT
  • [5] [Anonymous], 2006, CAMBRIDGE STUDIES AD, DOI DOI 10.1063/1.2357413
  • [6] [Anonymous], TECH REP
  • [7] [Anonymous], 1948, USP MAT NAUK
  • [8] [Anonymous], MODERN METHODS MULTI
  • [9] [Anonymous], 2009, MARKOV PROCESSES CHA
  • [10] [Anonymous], 2010, WORKING PAPER