定价与风险管理的多曲线HJM因子模型

IF 1.5 4区 经济学 Q3 BUSINESS, FINANCE Quantitative Finance Pub Date : 2023-09-19 DOI:10.1080/14697688.2023.2251179
Tobias Bienek, Griselda Deelstra, Andreas Lichtenstern, Rudi Zagst
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引用次数: 0

摘要

摘要本文受HJM方法和仿射因子方法的启发,提出了一种基于乘性相对价差的历史概率下的多曲线模型,该模型蕴涵了正有序价差。我们特别关注δi-XIBOR相对(瞬时)远期利率和适当的XIBOR HJM漂移约束,并描述了不同测度变化(包括正向测度)下不同远期利率和价差的动态变化。我们引入了一个显式模型,它既满足XIBOR - HJM漂移约束,又满足正扩散和有序扩散的性质。我们展示了这个衍生品定价模型的灵活性,通过关注基于不同期限的期货价格的期权和期权的价格。我们一方面根据限额价格对模型进行校准。另一方面,我们利用卡尔曼滤波方法在历史概率下对模型中的扩展曲线进行估计。数值结果表明,该模型具有良好的性能。关键词:XIBOR率;多收益曲线;乘法价差;仿射过程;jel分类:E43G12致谢感谢匿名审稿人提出的宝贵意见和建议。披露声明作者未报告潜在的利益冲突。注1:根据Konikov和McClelland (Citation2020)和相关的SSRN-id6073版本,也可以使用一些通常的“冻结”方法和傅里叶反演技术推导出互换价格的近似准显式表达式在图3中,自δ1等于6个月以来,一直使用ln (P6mS和s6m)表示法。griselda Deelstra感谢欧盟研究与创新地平线2020框架计划(H2020-MSCA-ITN-2018,项目813261,EID ABC-EU-XVA)以及ARC资助IAPAS的支持。
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A multi-curve HJM factor model for pricing and risk management
AbstractIn this paper, we introduce a multi-curve model under the historical probability based upon multiplicative relative spreads, inspired by the HJM and affine factor approaches, which implies positive and ordered spreads. In particular, we focus upon δi-XIBOR relative (instantaneous) forward rates and appropriate XIBOR HJM drift constraints, and we describe the dynamics of the different forward rates and spreads under different measure changes (including forward measures). We introduce an explicit model satisfying both the XIBOR HJM drift constraints as well as the property of positive and ordered spreads. We demonstrate the flexibility of this model for derivative pricing by focusing upon the price of a caplet and of options with a payoff based upon XIBOR forward prices with different tenors. We perform on one hand a calibration of the model based upon cap prices. On the other hand, we do an estimation of a spread curve in our proposed model under the historical probability by using a Kalman filter approach. Numerical results are included, and they confirm that the model performs very well.Keywords: XIBOR rateMultiple yield curvesMultiplicative spreadAffine processesJEL Classifications: E43G12 AcknowledgmentsThe authors would like to thank the anonymous referees for their useful comments and suggestions.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Following the lines of Konikov and McClelland (Citation2020) and the related SSRN-id6073 version, approximate quasi-explicit expressions for swaption prices can also be derived using some usual ‘freezing’ methods and Fourier inversion techniques.2 In figure 3, the notation ln⁡P6mS and s6m has been used since δ1 equals 6 months.Additional informationFundingGriselda Deelstra acknowledges support from the EU Framework Program for Research and Innovation Horizon 2020 (H2020-MSCA-ITN-2018, Project 813261, EID ABC-EU-XVA), as well as of the ARC grant IAPAS.
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来源期刊
Quantitative Finance
Quantitative Finance 社会科学-数学跨学科应用
CiteScore
3.20
自引率
7.70%
发文量
102
审稿时长
4-8 weeks
期刊介绍: The frontiers of finance are shifting rapidly, driven in part by the increasing use of quantitative methods in the field. Quantitative Finance welcomes original research articles that reflect the dynamism of this area. The journal provides an interdisciplinary forum for presenting both theoretical and empirical approaches and offers rapid publication of original new work with high standards of quality. The readership is broad, embracing researchers and practitioners across a range of specialisms and within a variety of organizations. All articles should aim to be of interest to this broad readership.
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