Q Liu, Z Liu - The Econometrics Journal, 2024 - academic.oup.com
Jumps and market microstructure noise are stylized features of high-frequency financial data. It is well known that they introduce bias in the estimation of volatility (including …
In this note, we propose a modified wild (MW) bootstrap-based procedure for the realized Laplace transform (RLT) of volatility. We establish its first-order asymptotic validity.
U Hounyo, Z Liu, RT Varneskov - Available at SSRN 4414552, 2023 - papers.ssrn.com
This online appendix complements the main text, Hounyo, Liu & Varneskov (2022), and it is organized as follows. In Section S2, we introduce additional notation. Section S3 provides …
R Varneskov, U Hounyo, Z Liu - Available at SSRN 4427186, 2023 - papers.ssrn.com
A Modified Wild Bootstrap Procedure for Laplace Transforms of Volatility Page 1 A Modified Wild Bootstrap Procedure for Laplace Transforms of Volatility ∗ Ulrich Hounyo † Zhi Liu ‡ …
X Feng, L He, Z Liu - Journal of Theoretical Probability, 2022 - Springer
Under the scenario of high-frequency data, a consistent estimator of the realized Laplace transform of volatility is proposed by Todorov and Tauchen (Econometrica 80: 1105–1127 …