ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1002.3045
  4. Cited By
Lower bounds for volatility estimation in microstructure noise models

Lower bounds for volatility estimation in microstructure noise models

16 February 2010
Axel Munk
Johannes Schmidt-Hieber
ArXiv (abs)PDFHTML

Papers citing "Lower bounds for volatility estimation in microstructure noise models"

10 / 10 papers shown
Nonparametric Bayesian volatility learning under microstructure noise
Nonparametric Bayesian volatility learning under microstructure noise
S. Gugushvili
Frank van der Meulen
Moritz Schauer
Peter Spreij
168
2
0
15 May 2018
Change-point inference on volatility in noisy Itô semimartingales
Change-point inference on volatility in noisy Itô semimartingales
M. Bibinger
Mehmet Madensoy
138
2
0
23 Nov 2017
Estimating the Spot Covariation of Asset Prices - Statistical Theory and
  Empirical Evidence
Estimating the Spot Covariation of Asset Prices - Statistical Theory and Empirical Evidence
M. Bibinger
N. Hautsch
P. Malec
M. Reiß
224
57
0
08 Jul 2017
Volatility Decomposition and Estimation in Time-Changed Price Models
Volatility Decomposition and Estimation in Time-Changed Price Models
R. Dahlhaus
Sophon Tunyavetchakit
216
4
0
07 May 2016
Semimartingale detection and goodness-of-fit tests
Semimartingale detection and goodness-of-fit tests
Adam D. Bull
321
5
0
30 May 2015
Common price and volatility jumps in noisy high-frequency data
Common price and volatility jumps in noisy high-frequency data
M. Bibinger
Lars Winkelmann
392
16
0
16 Jul 2014
Estimating time-changes in noisy Lévy models
Estimating time-changes in noisy Lévy models
Adam D. Bull
445
10
0
20 Dec 2013
Optimal sparse volatility matrix estimation for high-dimensional Itô
  processes with measurement errors
Optimal sparse volatility matrix estimation for high-dimensional Itô processes with measurement errors
Minjing Tao
Yazhen Wang
Harrison H. Zhou
306
73
0
19 Sep 2013
Adaptive wavelet estimation of the diffusion coefficient under additive
  error measurements
Adaptive wavelet estimation of the diffusion coefficient under additive error measurements
M. Hoffmann
Axel Munk
Johannes Schmidt-Hieber
456
20
0
27 Jul 2010
Nonparametric estimation of the volatility function in a high-frequency
  model corrupted by noise
Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise
Axel Munk
Johannes Schmidt-Hieber
397
26
0
21 Aug 2009
1
Page 1 of 1