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Correlators of Polynomial Processes 多项式过程的相关器
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2019-06-26 DOI: 10.1137/21m141556x
F. Benth, Silvia Lavagnini
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.
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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引用次数: 4
Multifactor Approximation of Rough Volatility Models 粗糙波动模型的多因素近似
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2019-01-01 DOI: 10.1137/18m1170236
Eduardo Abi Jaber, Omar El Euch
Rough volatility models are very appealing because of their remarkable fit of both historical and implied volatilities. However, due to the non-Markovian and non-semimartingale nature of the volatility process, there is no simple way to simulate efficiently such models, which makes risk management of derivatives an intricate task. In this paper, we design tractable multi-factor stochastic volatility models approximating rough volatility models and enjoying a Markovian structure. Furthermore, we apply our procedure to the specific case of the rough Heston model. This in turn enables us to derive a numerical method for solving fractional Riccati equations appearing in the characteristic function of the log-price in this setting.
粗糙波动率模型非常有吸引力,因为它们对历史波动率和隐含波动率都有很好的拟合。然而,由于波动过程的非马尔可夫性和非半鞅性,没有简单的方法来有效地模拟这些模型,这使得衍生品的风险管理成为一项复杂的任务。本文设计了可处理的多因素随机波动模型,该模型近似于粗糙波动模型,具有马尔可夫结构。此外,我们将我们的程序应用于粗略赫斯顿模型的具体情况。这反过来又使我们能够推导出一种数值方法来求解在这种情况下对数价格的特征函数中出现的分数阶里卡第方程。
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引用次数: 6
Interest-Rate Modelling and Derivative Pricing 利率模型和衍生品定价
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-15
G. Campolieti, R. Makarov
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引用次数: 0
Mathematics of Compounding 复利数学
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-1
G. Campolieti, R. Makarov
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引用次数: 0
Numerical Applications to Derivative Pricing 衍生品定价的数值应用
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-18
G. Campolieti, R. Makarov
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引用次数: 0
Introduction to Continuous-Time Stochastic Calculus 连续时间随机微积分导论
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-11
G. Campolieti, R. Makarov
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引用次数: 0
Replication and Pricing in the Binomial Tree Model 二项树模型中的复制和定价
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-7
G. Campolieti, R. Makarov
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引用次数: 0
American Options 美国的选择
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-14
G. Campolieti, R. Makarov
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引用次数: 0
Primer on Pricing Risky Securities 风险证券定价入门
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-2
G. Campolieti, R. Makarov
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引用次数: 0
Alternative Models of Asset Price Dynamics 资产价格动态的替代模型
IF 1 4区 经济学 Q3 Mathematics Pub Date : 2018-10-24 DOI: 10.1201/9781315373768-16
G. Campolieti, R. Makarov
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引用次数: 0
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SIAM Journal on Financial Mathematics
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