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20082026
most citedEstimating the quadratic covariation matrix from noisy observations: Local method of moments and efficiency

72 citations · 178 across the 21 of their papers we have counts for

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20 papers · 1 filter

math.ST2026

Asset-specific limit order microstructure noise: Parameter estimation and empirical evidence

Markus Bibinger, Adrian Grüber, Moritz Jirak

The one-sided microstructure noise model for high-frequency quotes from a limit order book is generalized to capture asset-specific noise tail behaviour. Estimation of a noise tail…

math.ST2023

Testing for jumps in processes with integral fractional part and jump-robust inference on the Hurst exponent

Markus Bibinger, Michael Sonntag

We develop and investigate a test for jumps based on high-frequency observations of a fractional process with an additive jump component. The Hurst exponent of the fractional proce…

math.ST2023★ 3 cited

Inference on the intraday spot volatility from high-frequency order prices with irregular microstructure noise

Markus Bibinger

We consider estimation of the spot volatility in a stochastic boundary model with one-sided microstructure noise for high-frequency limit order prices. Based on discrete, noisy obs…

math.ST2022★ 5 cited

Efficient parameter estimation for parabolic SPDEs based on a log-linear model for realized volatilities

Markus Bibinger, Patrick Bossert

We construct estimators for the parameters of a parabolic SPDE with one spatial dimension based on discrete observations of a solution in time and space on a bounded domain. We est…

math.ST2019

Cusum tests for changes in the Hurst exponent and volatility of fractional Brownian motion

Markus Bibinger

In this letter, we construct cusum change-point tests for the Hurst exponent and the volatility of a discretely observed fractional Brownian motion. As a statistical application of…

math.ST2019

On central limit theorems for power variations of the solution to the stochastic heat equation

Markus Bibinger, Mathias Trabs

We consider the stochastic heat equation whose solution is observed discretely in space and time. An asymptotic analysis of power variations is presented including the proof of a c…