Inference for local distributions at high sampling frequencies : a bootstrap approach
Year of publication: |
2020
|
---|---|
Authors: | Hounyo, Ulrich ; Varneskov, Rasmus Tangsgaard |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 215.2020, 1, p. 1-34
|
Subject: | Bootstrap inference | High-frequency data | Itô semimartingales | Kolmogorov-Smirnov test | Stable processes | von-Mises statistics | Bootstrap-Verfahren | Bootstrap approach | Theorie | Theory | Stichprobenerhebung | Sampling | Induktive Statistik | Statistical inference | Zeitreihenanalyse | Time series analysis | Schätzung | Estimation | Stochastischer Prozess | Stochastic process | Statistische Methodenlehre | Statistical theory | Statistische Verteilung | Statistical distribution |
-
Bootstrap inference for Hawkes and general point processes
Cavaliere, Giuseppe, (2023)
-
Statistical tests of distributional scaling properties for financial return series
Hallam, Mark, (2018)
-
Nonparametric filtering of conditional state-price densities
Dalderop, Jeroen, (2020)
- More ...
-
Bootstrapping laplace transforms of volatility
Hounyo, Ulrich, (2023)
-
Inference for Local Distributions at High Sampling Frequencies : A Bootstrap Approach
Hounyo, Ulrich, (2018)
-
A Modified Wild Bootstrap Procedure for Laplace Transforms of Volatility
Hounyo, Ulrich, (2022)
- More ...