Bias Correction Estimation for a Continuous‐Time Asset Return Model with Jumps. (19th August 2018)

• Record Type: Journal Article
• Authors: Song, Yuping; Chen, Ying; Wang, Zhouwei
• Is Part Of: Journal of time series analysis. Volume 40:Number 1(2019)
• Page Start: 66
• Page End: 101
• Publication Date: 2018-08-19
• Subjects: Integrated diffusion models with jumps -- finite or infinite activity jumps -- local linear estimators -- consistency and asymptotic normality -- non‐stationary high frequency financial data; Time-series analysis -- Periodicals; 519.232
• DOI: 10.1111/jtsa.12423
• Languages: English
• ISSNs: 0143-9782

Abstract

Abstract : In this article, local linear estimators are adapted for the unknown infinitesimal coefficients associated with continuous‐time asset return models with jumps, which can correct the bias automatically due to their simple bias representation. The integrated diffusion models with jumps, especially infinite activity jumps, are mainly investigated. In addition, under mild conditions, the weak consistency and asymptotic normality are provided through the conditional Lindeberg theorem as the time span T → ∞ and the sample interval Δ n →0. Furthermore, our method presents advantages in bias correction through simulation whether jumps belong to the finite activity case or infinite activity case. Finally, the estimators are illustrated empirically through the returns of stock index under 5‐minute high sampling frequency for real application.