Estimation of Tempered Stable L\'{e}vy Models of Infinite Variation

التفاصيل البيبلوغرافية
العنوان: Estimation of Tempered Stable L\'{e}vy Models of Infinite Variation
المؤلفون: Figueroa-López, José E., Gong, Ruoting, Han, Yuchen
سنة النشر: 2021
المجموعة: Quantitative Finance
Statistics
مصطلحات موضوعية: Economics - Econometrics, Quantitative Finance - Statistical Finance, Statistics - Methodology
الوصف: We propose a new method for the estimation of a semiparametric tempered stable L\'{e}vy model. The estimation procedure combines iteratively an approximate semiparametric method of moment estimator, Truncated Realized Quadratic Variations (TRQV), and a newly found small-time high-order approximation for the optimal threshold of the TRQV of tempered stable processes. The method is tested via simulations to estimate the volatility and the Blumenthal-Getoor index of the generalized CGMY model as well as the integrated volatility of a Heston-type model with CGMY jumps. The method outperforms other efficient alternatives proposed in the literature when working with a L\'evy process (i.e., the volatility is constant), or when the index of jump intensity $Y$ is larger than $3/2$ in the presence of stochastic volatility.
Comment: 33 pages
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2101.00565
رقم الأكسشن: edsarx.2101.00565
قاعدة البيانات: arXiv