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Moments for Hawkes Processes with Gamma Decay Kernel Functions

Author

Listed:
  • Lirong Cui

    (Qingdao University)

  • Bei Wu

    (Northwestern Polytechnical University)

  • Juan Yin

    (School of Management & Economics, Beijing Institute of Technology)

Abstract

Hawkes processes have been widely studied, but their many probability properties are still difficult to obtain, including their moments. In the paper, we shall give the moments for two classes of linear Hawkes processes with Gamma decay kernel and compound Gamma decay kernel functions by employing the method proposed by Cui et al. (2020), and the relationship between our results and those obtained by employing Dynkin’s formula is studied. Finally, the computation complexity of numbers of first-order linear differential equations is considered.

Suggested Citation

  • Lirong Cui & Bei Wu & Juan Yin, 2022. "Moments for Hawkes Processes with Gamma Decay Kernel Functions," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 1565-1601, September.
  • Handle: RePEc:spr:metcap:v:24:y:2022:i:3:d:10.1007_s11009-020-09840-8
    DOI: 10.1007/s11009-020-09840-8
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    References listed on IDEAS

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    1. Hainaut, Donatien & Deelstra, Griselda, 2019. "A Bivariate Mutually-Excited Switching Jump Diffusion (BMESJD) for Asset Prices," LIDAM Reprints ISBA 2019025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Donatien Hainaut & Griselda Deelstra, 2019. "A Bivariate Mutually-Excited Switching Jump Diffusion (BMESJD) for Asset Prices," Methodology and Computing in Applied Probability, Springer, vol. 21(4), pages 1337-1375, December.
    3. Zhongping Li & Lirong Cui, 2020. "Numerical method for means of linear Hawkes processes," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(15), pages 3681-3697, August.
    4. Li, Zhongping & Cui, Lirong & Chen, Jianhui, 2018. "Traffic accident modelling via self-exciting point processes," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 312-320.
    5. J. Chen & A. G. Hawkes & E. Scalas & M. Trinh, 2018. "Performance of information criteria for selection of Hawkes process models of financial data," Quantitative Finance, Taylor & Francis Journals, vol. 18(2), pages 225-235, February.
    6. Gabriele Stabile & Giovanni Luca Torrisi, 2010. "Risk Processes with Non-stationary Hawkes Claims Arrivals," Methodology and Computing in Applied Probability, Springer, vol. 12(3), pages 415-429, September.
    7. Mohler, G. O. & Short, M. B. & Brantingham, P. J. & Schoenberg, F. P. & Tita, G. E., 2011. "Self-Exciting Point Process Modeling of Crime," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 100-108.
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