Monte Carlo simulation for Barndorff-Nielsen and Shephard model under change of measure

被引:3
作者
Arai, Takuji [1 ]
Imai, Yuto [2 ]
机构
[1] Keio Univ, Dept Econ, 2-15-45 Mita,Minato Ku, Tokyo 1088345, Japan
[2] Nishogakusha Univ, Fac Int Polit & Econ, 6-16 Sanbancho,Chiyoda Ku, Tokyo 1028336, Japan
关键词
Barndorff-Nielsen and Shephard model; Stochastic volatility model; Minimal martingale measure; Monte Carlo simulation; OPTION;
D O I
10.1016/j.matcom.2023.11.029
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Barndorff-Nielsen and Shephard (BNS) model is a representative jump-type stochastic volatility model. Still, no method exists to compute option prices numerically for the non martingale case with infinite active jumps. In this paper, selecting the minimal martingale measure (MMM) as a representative martingale measure, we develop two simulation methods for the BNS model under the MMM. The first method simulates the asset price at maturity and the Radon-Nikodym density of the MMM separately. On the other hand, the second method directly computes the asset price distribution under the MMM. In addition, we implement some numerical experiments to evaluate the performance of our simulation methods.
引用
收藏
页码:223 / 234
页数:12
相关论文
共 12 条
[1]   Deep learning-based option pricing for Barndorff-Nielsen and Shephard model [J].
Arai, Takuji .
INTERNATIONAL JOURNAL OF FINANCIAL ENGINEERING, 2023, 10 (03)
[2]   Local risk-minimization for Barndorff-Nielsen and Shephard models [J].
Arai, Takuji ;
Imai, Yuto ;
Suzuki, Ryoichi .
FINANCE AND STOCHASTICS, 2017, 21 (02) :551-592
[3]   Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics [J].
Barndorff-Nielsen, OE ;
Shephard, N .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2001, 63 :167-207
[4]  
Barndorff-Nielsen OE, 2001, LEVY PROCESSES: THEORY AND APPLICATIONS, P283
[5]  
Di Nunno G, 2009, UNIVERSITEXT, P1
[6]  
Glasserman P, 2004, Monte Carlo methods in financial engineering, V53
[7]   Pricing arithmetic Asian option under a two-factor stochastic volatility model with jumps [J].
Mehrdoust, Farshid ;
Saber, Naghmeh .
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2015, 85 (18) :3811-3819
[8]  
Nicolato E, 2003, MATH FINANC, V13, P445
[9]   Exact simulation of Ornstein-Uhlenbeck tempered stable processes [J].
Qu, Yan ;
Dassios, Angelos ;
Zhao, Hongbiao .
JOURNAL OF APPLIED PROBABILITY, 2021, 58 (02) :347-371
[10]   Fast simulation of tempered stable Ornstein-Uhlenbeck processes [J].
Sabino, Piergiacomo ;
Petroni, Nicola Cufaro .
COMPUTATIONAL STATISTICS, 2022, 37 (05) :2517-2551