Log in

Moderate Deviations for the Parameter Estimation in the Fractional Ornstein-Uhlenbeck Process with \(H \in (0,{1 \over 2})\)

  • Published:
Acta Mathematicae Applicatae Sinica, English Series Aims and scope Submit manuscript

Abstract

In this paper, we study the asymptotic properties for estimators of two parameters in the drift function in the ergodic fractional Ornstein-Uhlenbeck process with Hurst index \(H \in (0,{1 \over 2})\). The Cramér-type moderate deviations, as well as the moderation deviations with explicit rate function can be obtained. The main methods consist of the deviation inequalities and Cramér-type moderate deviations for multiple Wiener-Itô integrals, as well as the asymptotic analysis techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Aït-Sahalia, Y., Mancini, L. Out of sample forecasts of quadratic variation. J. Econom., 147: 17–33 (2008)

    Article  MathSciNet  Google Scholar 

  2. Bajja, S., Es-Sebaiy, K., Viitasaari, L. Least square estimator of fractional Ornstein Uhlenbeck processes with periodic mean. J. Korean. Stat Soc., 46: 608–622 (2017)

    Article  MathSciNet  Google Scholar 

  3. Bercu, B., Rouault, A. Sharp large deviations for the Ornstein-Uhlenbeck process. Theory Probab. Appl., 46: 1–19 (2002)

    Article  MathSciNet  Google Scholar 

  4. Bercu, B., Richou, A. Large deviations for the Ornstein-Uhlenbeck process with shift. Adv. Appl Probab., 47: 880–901 (2015)

    Article  MathSciNet  Google Scholar 

  5. Bercu, B. Richou, A. Large deviations for the Ornstein-Uhlenbeck process without tears. Stat Probab. Lett., 123: 45–55 (2017)

    Article  MathSciNet  Google Scholar 

  6. Chen, Y., Phillips, P.C.B., Yu, J. Inference in continuous systems with mildly explosive regressors. J. Econom., 201: 400–416 (2017)

    Article  MathSciNet  Google Scholar 

  7. Chen, Y., Kuang, N.H., Li, Y. Berry-Esséen bound for the parameter estimation of fractional Ornstein-Uhlenbeck processes. Stoch. Dyn., 20: 2050023 (2020)

    Article  MathSciNet  Google Scholar 

  8. Chen, Y., Li, Y. Berry-Esséen bound for the parameter estimation of fractional Ornstein-Uhlenbeck processes with the hurst parameter H ∈ (0, 1/2). Commun. Stat-Theor. M., 50: 2996–3013 (2019)

    Article  Google Scholar 

  9. Chen, Y., Zhou, H.J. Parameter estimation for an Ornstein-Uhlenbeck process driven by a general Gaussian noise. Acta Math. Sinica., 41: 573–595 (2021)

    MathSciNet  Google Scholar 

  10. Cheridito, P., Kawaguchi, H., Maejima, M. Fractional Ornstein-Uhlenbeck processes. Electron. J. Probab., 8: 1–14 (2003)

    Article  MathSciNet  Google Scholar 

  11. Comte, F., Renault, E. Long memory continuous-time stochastic volatility models. Math. Financ., 8: 291–323 (2018)

    Article  MathSciNet  Google Scholar 

  12. Dehling, H. Franke, B., Woerner, J.H.C. Estimating drift parameters in a fractional Ornstein-Ulenbeck process with periodic mean. Stat. Inference Stoch. Process., 20: 1–14 (2017)

    Article  MathSciNet  Google Scholar 

  13. El Machkouri, M., Es-Sebaiy, K., Ouknine, Y. Least squares estimator for non-ergodic Ornstein-Uhlenbeck processes driven by Gaussian processes. J. Korean. Stat Soc., 45: 329–341 (2016)

    Article  MathSciNet  Google Scholar 

  14. Florens-Landais, D., Pham, H. Large deviations in estimate of an Ornstein-Uhlenbeck model. J. Appl Probab., 36: 60–77 (1999)

    Article  MathSciNet  Google Scholar 

  15. Gao, F.Q., Jiang, H. Deviation inequalities and moderate deviations for estimators of parameters in an Ornstein-Uhlenbeck process with linear drift. Electron. Commun. Probab., 14: 210–223 (2009)

    Article  MathSciNet  Google Scholar 

  16. Gao, F.Q., Jiang, H. Deviation inequalities for quadratic Wiener functionals and moderate deviations for parameter estimators. Sci. China Math., 60: 1181–1196 (2017)

    Article  MathSciNet  Google Scholar 

  17. Gao, F.Q., Zhao, X.Q. Delta method in large deviations and moderate deviations for estimators. Ann. Stat., 39: 1211–1240 (2011)

    Article  MathSciNet  Google Scholar 

  18. Gatheral, J., Jaisson, T., Rosenbaum, M. Volatility is rough. Quant Finance., 18: 933–949 (2018)

    Article  MathSciNet  Google Scholar 

  19. Guillin, A., Liptser, R. Examples of moderate deviation principles for diffusion processes. Discrete Cont. Dyn. B, 6: 803–828 (2006)

    MathSciNet  Google Scholar 

  20. Hu, Y., Nualart, D. Parameter estimation for fractional Ornstein-Uhlenbeck processes. Stat Probab. Lett., 80: 1030–1038 (2010)

    Article  MathSciNet  Google Scholar 

  21. Hu, Y., Nualart, D., Zhou, H. Parameter estimation for fractional Ornstein-Uhlenbeck processes of general Hurst parameter. Stat. Inference Stoch. Process., 22: 111–142 (2019)

    Article  MathSciNet  Google Scholar 

  22. Jiang, H., Liu, J.F., Wang, S.C. Self-normalized asymptotic properties for the parameter estimation in fractional Ornstein-Uhlenbeck process. Stoch. Dyn., 19: 1950018 (2019)

    Article  MathSciNet  Google Scholar 

  23. Jiang, H., Zhang, N. Cramér-type moderate deviations for statistics in the non-stationary Ornstein-Uhlenbeck process. Stochastics., 92: 478–496 (2020)

    Article  MathSciNet  Google Scholar 

  24. Jiang, H., Li, S.M., Wang, W.G. Moderate deviations for parameter estimation in the fractional Ornstein-Uhlenbeck processes with periodic mean. Acta Math. Sin. Engl Ser., https://doi.org/10.1007/s10114-023-2157-z (2023)

  25. Kaarakka, T., Salminen, P. On Fractional Ornstein-Uhlenbeck process. Commun. Stoch. Anal., 5: 121–133 (2011)

    MathSciNet  Google Scholar 

  26. Major, P. On a multivariate version of Bernsteins inequality. Electron. J. Probab., 12: 966–988 (2007)

    Article  MathSciNet  Google Scholar 

  27. Major, P. Tail behavior of multiple integrals and U-statistics. Probab. Surv., 2: 448–505 (2005)

    Article  MathSciNet  Google Scholar 

  28. Nualart, D., Peccati, G. Central limit theorems for sequences of multiple stochastic integrals. Ann. Probab., 33: 177–193 (2005)

    Article  MathSciNet  Google Scholar 

  29. Nualart, D. The Malliavin Calculus and Related Topics. Springer-Verlag, 2006

  30. Nualart, D., Ortiz-Latorre, S. Central limit theorems for multiple stochastic integrals and Malliavin calculus. Stoch Process. Their Appl., 118: 614–628 (2008)

    Article  MathSciNet  Google Scholar 

  31. Schulte, M. Thäle, C., Cumulants on Wiener chaos: Moderate deviations and the fourth moment theorem. J. Funct Anal., 270: 2223–2248 (2016)

    Article  MathSciNet  Google Scholar 

  32. Shen, G.J., Yu, Q., Tang, Z. The least squares estimator for an Ornstein-Uhlenbeck processes driven by a Hermite process with a periodic mean. Acta Math. Sci., 41: 517–534 (2021)

    Article  MathSciNet  Google Scholar 

  33. Shevchenko, R., Tudor, C.A. Parameter estimation for the Rosenblatt Ornstein-Uhlenbeck process with periodic mean. Stat. Inference Stoch. Process., 23: 227–247 (2020)

    Article  MathSciNet  Google Scholar 

  34. Shevchenko, R., Woerner, J. Inference for fractional Ornstein-Uhlenbeck type processes with periodic mean in the non-ergodic case. Stoch Anal. Appl., 40: 589–609 (2022)

    Article  MathSciNet  Google Scholar 

  35. **ao, W.L., Yu, J. Asymptotic theory for estimating drift parameters in the fractional Vasicek model. Econ. Theory., 35: 198–231 (2019)

    Article  MathSciNet  Google Scholar 

  36. Yu, Q. Least squares estimator of fractional Ornstein-Uhlenbeck processes with periodic mean for general Hurst parameter. Stat Pap., 62: 795–815 (2021)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qing-shan Yang.

Ethics declarations

The authors declare no conflict of interest.

Additional information

Hui JIANG is supported by the Natural Science Foundation of Jiangsu Province (No.BK20231435) and Fundamental Research Funds for the Central Universities (No.NS2022069). Qing-shan YANG is supported by National Natural Science Foundation of China (Grant NO.11401090, 11971097, 11971098).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiang, H., Yang, Qs. Moderate Deviations for the Parameter Estimation in the Fractional Ornstein-Uhlenbeck Process with \(H \in (0,{1 \over 2})\). Acta Math. Appl. Sin. Engl. Ser. (2024). https://doi.org/10.1007/s10255-024-1083-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10255-024-1083-x

Keywords

2020 MR Subject Classification

Navigation