| 金融领域的随机建模与基于软件R的Monte Carlo模拟(4):随机微分方程模型 |
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| 引用本文： | 毛学荣,李晓月.金融领域的随机建模与基于软件R的Monte Carlo模拟(4):随机微分方程模型[J].南京气象学院学报,2015,7(4):313-322. |
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| 作者姓名： | 毛学荣 李晓月 |
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| 作者单位： | 斯特莱斯克莱德大学 数学系, 格拉斯哥, G1 1XT, 英国;东北师范大学 数学与统计学院, 长春, 130024 |
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| 基金项目： | 国家自然科学基金(11171056,11171081) |
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| 摘 要： | 主要研究线性随机微分方程模型,为此定义Itô随机微积分,建立Itô公式.鉴于研究的重点是利用R软件进行数值模拟,所以详细讨论了过去10多年来随机微分方程数值解的研究.
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| 关 键 词： | Monte Carlo 模拟 Euler-Maruyama方法 Backward Euler方法 Split-Step Backward Euler方法 随机Theta方法 |
| 收稿时间： | 2014/9/13 0:00:00 |
Stochastic Modelling in Financeand Monte Carlo Simulations with R Part D:Stochastic Differential Equation Model |
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| MAO Xuerong and LI Xiaoyue.Stochastic Modelling in Financeand Monte Carlo Simulations with R Part D:Stochastic Differential Equation Model[J].Journal of Nanjing Institute of Meteorology,2015,7(4):313-322. |
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| Authors: | MAO Xuerong and LI Xiaoyue |
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| Institution: | Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XT, Scotland, UK;School of Mathematics and Statistics, Northeast Normal University, Changchun 130024 |
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| Abstract: | The key aim of this serial is to study various stochastic models in finance with emphasise on the Monte Carlo simulations with R for these models.In this paper, we will study the linear stochastic differential equation (SDE) model for the asset price.We will define the It calculus and establish the It\hat\hboxo formula.Moreover, as the Monte Carlo simulations with R is our keytopic in this serial, we will review the developments of numerical solutionsin order to highlight this very popular area in the study of SDEs. |
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| Keywords: | Monte Carlo simulations Euler-Maruyama method Backward Euler method Split-Step Backward Euler method stochastic Theta method |
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