The weak convergence order of two Euler-type discretization schemes for the log-Heston model

被引:3
作者
Mickel, Annalena [1 ,2 ]
Neuenkirch, Andreas [1 ]
机构
[1] Univ Mannheim, Math Inst, B6, 26, D-68131 Mannheim, Germany
[2] Univ Mannheim, DFG Res Training Grp 1953, B6, 26, D-68131 Mannheim, Germany
关键词
Heston model; CIR process; discretization schemes for SDEs; Kolmogorov PDE; Euler scheme; nonstandard assumptions; INGERSOLL-ROSS PROCESSES; STOCHASTIC VOLATILITY; NUMERICAL SCHEMES; JUMP-DIFFUSION; SIMULATION; RATES; CIR;
D O I
10.1093/imanum/drac069
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study the weak convergence order of two Euler-type discretizations of the log-Heston Model where we use symmetrization and absorption, respectively, to prevent the discretization of the underlying CIR process from becoming negative. If the Feller index nu of the CIR process satisfies nu > 1, we establish weak convergence order one, while for nu <= 1, we obtain weak convergence order nu-? for ?> 0 arbitrarily small. We illustrate our theoretical findings by several numerical examples.
引用
收藏
页码:3326 / 3356
页数:31
相关论文
共 39 条
[1]   APPROXIMATING STOCHASTIC VOLATILITY BY RECOMBINANT TREES [J].
Akyildirim, Erdinc ;
Dolinsky, Yan ;
Soner, H. Mete .
ANNALS OF APPLIED PROBABILITY, 2014, 24 (05) :2176-2205
[2]   On the discretization schemes for the CIR (and Bessel squared) processes [J].
Alfonsi, Aurelien .
MONTE CARLO METHODS AND APPLICATIONS, 2005, 11 (04) :355-384
[3]   HIGH ORDER DISCRETIZATION SCHEMES FOR THE CIR PROCESS: APPLICATION TO AFFINE TERM STRUCTURE AND HESTON MODELS [J].
Alfonsi, Aurelien .
MATHEMATICS OF COMPUTATION, 2010, 79 (269) :209-237
[4]  
Altmayer M., 2015, THESIS MANNHEIM
[5]   Discretising the Heston model: an analysis of the weak convergence rate [J].
Altmayer, Martin ;
Neuenkirch, Andreas .
IMA JOURNAL OF NUMERICAL ANALYSIS, 2017, 37 (04) :1930-1960
[6]  
ANDERSEN L., 2008, J. Comput. Finance, V11, P1, DOI [DOI 10.21314/JCF.2008.189, 10.21314/JCF.2008.189]
[7]   Moment explosions in stochastic volatility models [J].
Andersen, Leif B. G. ;
Piterbarg, Vladimir V. .
FINANCE AND STOCHASTICS, 2007, 11 (01) :29-50
[8]  
[Anonymous], 2008, ESAIM: Probability and Statistics, DOI DOI 10.1051/PS:2007030
[9]  
[Anonymous], 2001, TANIGUCHI C MATH NAR, DOI [DOI 10.2969/ASPM/03110147, 10.2969/aspm/03110147]
[10]  
[Anonymous], 2007, The Journal of Computational Finance, DOI [10.21314/jcf.2007.166, DOI 10.21314/JCF.2007.166]