Nonparametric tests for jump detection via false discovery rate control : a Monte Carlo study
Kaiqiao Li, Kan He, Lizhou Nie, Wei Zhu and Pei Fen Kuan
Year of publication: |
2019
|
---|---|
Authors: | Li, Kaiqiao ; He, Kan ; Nie, Lizhou ; Zhu, Wei ; Kuan, Pei Fen |
Published in: |
The journal of risk model validation. - London : Infopro Digital, ISSN 1753-9579, ZDB-ID 2316764-6. - Vol. 13.2019, 3, p. 23-44
|
Subject: | high-frequency financial data | reproducibility | p-value pooling | stochastic volatility (SV) model | Monte-Carlo-Simulation | Monte Carlo simulation | Volatilität | Volatility | Theorie | Theory | Stochastischer Prozess | Stochastic process | Statistischer Test | Statistical test | Nichtparametrisches Verfahren | Nonparametric statistics | Zeitreihenanalyse | Time series analysis |
Saved in:
Saved in favorites
Similar items by subject
-
High-frequency jump tests : which test should we use?
Maneesoonthorn, Worapree, (2020)
-
High-frequency jump tests : which test should we use?
Maneesoonthorn, Worapree, (2020)
-
Detecting serial dependence in tail events
Diks, Cees G. H., (2002)
- More ...
Similar items by person