Tobias Bienek, Griselda Deelstra, Andreas Lichtenstern, Rudi Zagst
{"title":"定价与风险管理的多曲线HJM因子模型","authors":"Tobias Bienek, Griselda Deelstra, Andreas Lichtenstern, Rudi Zagst","doi":"10.1080/14697688.2023.2251179","DOIUrl":null,"url":null,"abstract":"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 lnP6mS 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.","PeriodicalId":20747,"journal":{"name":"Quantitative Finance","volume":"175 1","pages":"0"},"PeriodicalIF":1.5000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-curve HJM factor model for pricing and risk management\",\"authors\":\"Tobias Bienek, Griselda Deelstra, Andreas Lichtenstern, Rudi Zagst\",\"doi\":\"10.1080/14697688.2023.2251179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 lnP6mS 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.\",\"PeriodicalId\":20747,\"journal\":{\"name\":\"Quantitative Finance\",\"volume\":\"175 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/14697688.2023.2251179\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/14697688.2023.2251179","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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 lnP6mS 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.
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.