JOURNAL ARTICLE

Parameter estimation for Ornstein–Uhlenbeck processes driven by fractional Lévy process

Guangjun ShenYunmeng LiZhenlong Gao

Year: 2018 Journal:   Journal of Inequalities and Applications Vol: 2018 (1)Pages: 356-356   Publisher: Springer Science+Business Media

Abstract

We study the minimum Skorohod distance estimation θ ε ∗ and minimum L 1 -norm estimation θ ε ˜ of the drift parameter θ of a stochastic differential equation d X t = θ X t d t + ε d L t d , X 0 = x 0 , where { L t d , 0 ≤ t ≤ T } is a fractional Lévy process, ε ∈ ( 0 , 1 ] . We obtain their consistency and limit distribution for fixed T, when ε → 0 . Moreover, we also study the asymptotic laws of their limit distributions for T → ∞ .

Keywords:
Mathematics Ornstein–Uhlenbeck process Stochastic differential equation Limit (mathematics) Applied mathematics Consistency (knowledge bases) Mathematical analysis Distribution (mathematics) Stochastic process Statistics Discrete mathematics

Metrics

10
Cited By
2.20
FWCI (Field Weighted Citation Impact)
31
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stochastic processes and financial applications
Social Sciences →  Economics, Econometrics and Finance →  Finance
Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Nonlinear Differential Equations Analysis
Physical Sciences →  Mathematics →  Applied Mathematics

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