Sandwiched Volterra Volatility 模型中的期权定价

IF 1.4 4区 经济学 Q3 BUSINESS, FINANCE SIAM Journal on Financial Mathematics Pub Date : 2024-09-09 DOI:10.1137/22m1521328
Giulia Di Nunno, Yuliya Mishura, Anton Yurchenko-Tytarenko
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引用次数: 0

摘要

SIAM 金融数学期刊》,第 15 卷第 3 期,第 824-882 页,2024 年 9 月。 摘要.我们引入了一个由任意荷尔德连续高斯 Volterra 过程驱动的随机波动性金融市场新模型。该模型的显著特点是波动方程的形式,它确保了解被 "夹 "在事先选定的两个任意霍尔德连续函数之间。我们讨论了该市场上局部马氏计量的结构,研究了价格和波动率的可整性和马利亚文可微分性,并研究了相应概率规律的绝对连续性。此外,我们还利用马利亚文微积分开发了一种具有不连续报酬的期权定价算法。
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Option Pricing in Sandwiched Volterra Volatility Model
SIAM Journal on Financial Mathematics, Volume 15, Issue 3, Page 824-882, September 2024.
Abstract.We introduce a new model of financial market with stochastic volatility driven by an arbitrary Hölder continuous Gaussian Volterra process. The distinguishing feature of the model is the form of the volatility equation, which ensures that the solution is “sandwiched” between two arbitrary Hölder continuous functions chosen in advance. We discuss the structure of local martingale measures on this market, investigate integrability and Malliavin differentiability of prices and volatilities, and study absolute continuity of the corresponding probability laws. Additionally, we utilize Malliavin calculus to develop an algorithm of pricing options with discontinuous payoffs.
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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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