Correlators of Polynomial Processes

IF 1.4 4区 经济学 Q3 BUSINESS, FINANCE SIAM Journal on Financial Mathematics Pub Date : 2019-06-26 DOI:10.1137/21m141556x
F. Benth, Silvia Lavagnini
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引用次数: 4

Abstract

In the setting of polynomial jump-diffusion dynamics, we provide a formula for computing correlators, namely, cross-moments of the process at different time points along its path. The formula involves only linear combinations of the exponential of the so-called generator matrix, extending the well-known moment formula for polynomial processes. The developed framework allows to replace costly simulations with more accurate estimates, and it may be used for increasing the accuracy in financial pricing, such as for path-dependent options or in a stochastic volatility models context.
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多项式过程的相关器
在多项式跳跃-扩散动力学的情况下,我们给出了计算相关系数的公式,即过程在其路径上不同时间点的交叉矩。该公式只涉及所谓的生成矩阵的指数的线性组合,扩展了众所周知的多项式过程的矩公式。开发的框架允许用更准确的估计取代昂贵的模拟,并且可以用于提高金融定价的准确性,例如路径依赖期权或随机波动模型。
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来源期刊
SIAM Journal on Financial Mathematics
SIAM Journal on Financial Mathematics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.30
自引率
10.00%
发文量
52
期刊介绍: SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.
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