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Frontiers of Mathematics in China

ISSN 1673-3452

ISSN 1673-3576(Online)

CN 11-5739/O1

Postal Subscription Code 80-964

2018 Impact Factor: 0.565

Front. Math. China    2019, Vol. 14 Issue (6) : 1281-1302    https://doi.org/10.1007/s11464-019-0801-9
RESEARCH ARTICLE
Least squares estimator of Ornstein-Uhlenbeck processes driven by fractional Lévy processes with periodic mean
Guangjun SHEN1, Qian YU2(), Yunmeng LI1
1. Department of Mathematics, Anhui Normal University, Wuhu 241000, China
2. School of Statistics, East China Normal University, Shanghai 200241, China
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Abstract

We deal with the least squares estimator for the drift parameters of an Ornstein-Uhlenbeck process with periodic mean function driven by fractional Lévy process. For this estimator, we obtain consistency and the asymptotic distribution. Compared with fractional Ornstein-Uhlenbeck and Ornstein-Uhlenbeck driven by Lévy process, they can be regarded both as a Lévy generalization of fractional Brownian motion and a fractional generaliza- tion of Lévy process.

Keywords Least squares estimator      Ornstein-Uhlenbeck processes      fractional Lévy processes      asymptotic distribution     
Corresponding Author(s): Qian YU   
Issue Date: 07 January 2020
 Cite this article:   
Guangjun SHEN,Qian YU,Yunmeng LI. Least squares estimator of Ornstein-Uhlenbeck processes driven by fractional Lévy processes with periodic mean[J]. Front. Math. China, 2019, 14(6): 1281-1302.
 URL:  
https://academic.hep.com.cn/fmc/EN/10.1007/s11464-019-0801-9
https://academic.hep.com.cn/fmc/EN/Y2019/V14/I6/1281
1 S Bajja, K Es-Sebaiy, L Viitasaari. Least squares estimator of fractional Ornstein Uhlenbeck processes with periodic mean. J Korean Statist Soc, 2017, 46: 608–622
https://doi.org/10.1016/j.jkss.2017.06.002
2 A Benassi, S Cohen, J Istas. Identification and properties of real harmonizable fractional Lévy motions. Bernoulli, 2002, 8: 97–115
3 A Benassi, S Cohen, J Istas. On roughness indices for fractional fields. Bernoulli, 2004, 10: 357–373
https://doi.org/10.3150/bj/1082380223
4 C Bender, R Knobloch, P Oberacker. Maximal inequalities for fractional Lévy and related processes. Stoch Anal Appl, 2015, 33: 701–714
https://doi.org/10.1080/07362994.2015.1036167
5 C Bender, A Lindner, M Schicks. Finite variation of fractional Lévy processes. J Theoret Probab, 2002, 25: 594–612
https://doi.org/10.1007/s10959-010-0339-y
6 B Bercu, F Proïa, N Savy. On Ornstein-Uhlenbeck driven by Ornstein-Uhlenbeck processes. Statist Probab Lett, 2014, 85: 36–44
https://doi.org/10.1016/j.spl.2013.11.002
7 P J Brockwell, R A Davis, Y Yang. Estimation for non-negative Lévy-driven Ornstein- Uhlenbeck processes. J Appl Probab, 2007, 44: 977–989
https://doi.org/10.1017/S0021900200003673
8 A Brouste, S M Iacus. Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package. Comput Statist, 2013, 28: 1529–1547
https://doi.org/10.1007/s00180-012-0365-6
9 P Cheridito, H Kawaguchi, M Maejima. Fractional Ornstein-Uhlenbeck processes. Electron J Probab, 2003, 8: 1–14
https://doi.org/10.1214/EJP.v8-125
10 A Dasgupta, G Kallianpur. Multiple fractional integrals. Probab Theory Related Fields, 1999, 115: 505–525
https://doi.org/10.1007/s004400050247
11 H Dehling, B Franke, J H C Woerner. Estimating drift parameters in a fractional Ornstein Uhlenbeck process with periodic mean. Stat Inference Stoch Process, 2017, 20: 1–14
https://doi.org/10.1007/s11203-016-9136-2
12 S Engelke, J H C Woerner. A unifying approach to fractional Lévy processes. Stoch Dyn, 2013, 13: 1250017 (19 pp)
https://doi.org/10.1142/S0219493712500177
13 K Es-Sebaiy, F Viens. Parameter estimation for SDEs related to stationary Gaussian processes. arXiv: 1501.04970
14 H Fink, C Klüppelberg. Fractional Lévy-driven Ornstein-Uhlenbeck processes and stochastic differential equations. Bernoulli, 2011, 17: 484–506
https://doi.org/10.3150/10-BEJ281
15 B Franke, T Kott. Parameter estimation for the drift of a time-inhomogeneous jump diffusion process. Stat Neerl, 2013, 67: 145–168
https://doi.org/10.1111/j.1467-9574.2012.00537.x
16 Y Hu, D Nualart. Parameter estimation for fractional Ornstein-Uhlenbeck processes. Statist Probab Lett, 2010, 80: 1030–1038
https://doi.org/10.1016/j.spl.2010.02.018
17 Y Hu, D Nualart, H Zhou. Drift parameter estimation for nonlinear stochastic differential equations driven by fractional Brownian motion. Stochastics, 2019, 91: 1067–1091
https://doi.org/10.1080/17442508.2018.1563606
18 H Jiang, X Dong. Parameter estimation for the non-stationary Ornstein-Uhlenbeck process with linear drift. Statist Papers, 2015, 56: 257–268
https://doi.org/10.1007/s00362-014-0580-z
19 M Kleptsyna, A Le Breton. Statistical analysis of the fractional Ornstein-Uhlenbeck type process. Stat Inference Stoch Process, 2002, 5: 229–248
https://doi.org/10.1023/A:1021220818545
20 C Lacaux. Real harmonizable multifractional Lévy motions. Ann Inst Henri Poincaré Probab Stat, 2004, 40: 259–277
https://doi.org/10.1016/S0246-0203(03)00064-5
21 Z Lin, Z Cheng. Existence and joint continuity of local time of multiparameter fractional Lévy processes. Appl Math Mech (English Ed), 2009, 30: 381–390
https://doi.org/10.1007/s10483-009-0312-y
22 H Long. Least squares estimator for discretely observed Ornstein-Uhlenbeck processes with small Lévy noises. Statist Probab Lett, 2009, 79: 2076–2085
https://doi.org/10.1016/j.spl.2009.06.018
23 H Long, C Ma, Y Shimizu. Least squares estimators for stochastic differential equations driven by small Lévy noises. Stochastic Process Appl, 2017, 127: 1475–1495
https://doi.org/10.1016/j.spa.2016.08.006
24 H Long, Y Shimizu, W Sun. Least squares estimators for discretely observed stochastic processes driven by small Lévy noises. J Multivariate Anal, 2013, 116: 422–439
https://doi.org/10.1016/j.jmva.2013.01.012
25 C Ma. A note on “Least squares estimator for discretely observed Ornstein-Uhlenbeck processes with small Lévy noises.” Statist Probab Lett, 2010, 80: 1528–1531
https://doi.org/10.1016/j.spl.2010.06.006
26 C Ma, X Yang. Small noise fluctuations of the CIR model driven by α-stable noises. Statist Probab Lett, 2014, 94: 1–11
27 B B Mandelbrot, J W Van Ness. Fractional Brownian motions, fractional noises and applications. SIAM Rev, 1968, 10: 422–437
https://doi.org/10.1137/1010093
28 X Mao, C Yuan. Stochastic Differential Equations with Markovian Switching. London: Imperial College Press, 2006
https://doi.org/10.1142/p473
29 T Marquardt. Fractional Lévy processes with an application to long memory moving average processes. Bernoulli, 2006, 12: 1009–1126
https://doi.org/10.3150/bj/1165269152
30 B E Onsy, K Es-Sebaiy, F Viens. Parameter estimation for a partially observed Ornstein-Uhlenbeck process with long-memory noise. Stochastics, 2017, 89: 431–468
https://doi.org/10.1080/17442508.2016.1248967
31 G Samorodnitsky, M Taqqu. Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Varice. New York: Champman & Hall, 1994
32 K Sato. Lévy processes and infinitely divisible distributions. Cambridge: Cambridge Univ Press, 1999
33 G Shen, Y Li, Z Gao. Parameter estimation for Ornstein–Uhlenbeck processes driven by fractional Lévy process. J Inequal Appl, 2018, 356: 1–14
https://doi.org/10.1186/s13660-018-1951-0
34 G Shen, Q Yu. Least squares estimator for Ornstein-Uhlenbeck processes driven by fractional Lévy processes from discrete observations. Statist Papers,
https://doi.org/10.1007/s00362-017-0918-4
35 H Tikanmäki, Y Mishura. Fractional Lévy processes as a result of compact interval integral transformation. Stoch Anal Appl, 2011, 29: 1081–1101
https://doi.org/10.1080/07362994.2011.610172
36 W Xiao, W Zhang, W Xu. Parameter estimation for fractional Ornstein-Uhlenbeck processes at discrete observation. Appl Math Model, 2011, 35: 4196–4207
https://doi.org/10.1016/j.apm.2011.02.047
[1] SU Zishan, SU Chun, HU Zhishui. Asymptotic distributions of standardized Ψ-sums for a class of distributions[J]. Front. Math. China, 2007, 2(4): 613-622.
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