Academic Journal
The rough Hawkes Heston stochastic volatility model
| العنوان: | The rough Hawkes Heston stochastic volatility model |
|---|---|
| المؤلفون: | Bondi, Alessandro, Pulido, Sergio, Scotti, Simone |
| المساهمون: | Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE), Laboratoire de Mathématiques et Modélisation d'Evry (LaMME), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), The research of Sergio Pulido benefited from the financial support of the chairs "Deep finance & Statistics" and "Machine Learning & systematic methods in finance" of École Polytechnique. Sergio Pulido and Simone Scotti acknowledge support by the Europlace Institute of Finance (EIF) and the Labex Louis Bachelier, research project: "The impact of information on financial markets". |
| المصدر: | ISSN: 0960-1627. |
| بيانات النشر: | CCSD Wiley |
| سنة النشر: | 2024 |
| المجموعة: | Institut National de la Recherche Agronomique: ProdINRA |
| مصطلحات موضوعية: | Stochastic volatility, Rough volatility, Hawkes processes, Jump clusters, Leverage effect, affine Volterra processes, VIX, joint calibration of S&, P 500 and VIX smiles, JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation Modeling, JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates, JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G13 - Contingent Pricing • Futures Pricing, [QFIN.PR]Quantitative Finance [q-fin]/Pricing of Securities [q-fin.PR], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [QFIN.CP]Quantitative Finance [q-fin]/Computational Finance [q-fin.CP] |
| الوصف: | International audience ; We study an extension of the Heston stochastic volatility model that incorporates rough volatility and jump clustering phenomena. In our model, named the rough Hawkes Heston stochastic volatility model, the spot variance is a rough Hawkes-type process proportional to the intensity process of the jump component appearing in the dynamics of the spot variance itself and the log returns. The model belongs to the class of affine Volterra models. In particular, the Fourier-Laplace transform of the log returns and the square of the volatility index can be computed explicitly in terms of solutions of deterministic Riccati-Volterra equations, which can be efficiently approximated using a multi-factor approximation technique. We calibrate a parsimonious specification of our model characterized by a power kernel and an exponential law for the jumps. We show that our parsimonious setup is able to simultaneously capture, with a high precision, the behavior of the implied volatility smile for both S&P 500 and VIX options. In particular, we observe that in our setting the usual shift in the implied volatility of VIX options is explained by a very low value of the power in the kernel. Our findings demonstrate the relevance, under an affine framework, of rough volatility and self-exciting jumps in order to capture the joint evolution of the S&P 500 and VIX. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| الاتاحة: | https://hal.science/hal-03827332 https://hal.science/hal-03827332v1/document https://hal.science/hal-03827332v1/file/roughHeston_jumps_Oct_20_2022_SSRN.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.3D6F6016 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |