Holder of the Chair

• Statistics for stochastic processes
• Financial econometrics
• Statistics for stochastic (partial) differential equations
• High frequency and high dimensional financial data
• Asymptotic statistics

Employment

• Holder of the Chair of Applied Stochastics, University of Würzburg, since October 2020.
• W2-Professor for Stochastics, University of Marburg, February 2016 - September 2020.
• Junior Professor for Theoretical Econometrics and Statistics, Department of Economics, University of Mannheim, April 2015 - January 2016.
• Scientific employee of CRC 649, Economic Risk, Humboldt University of Berlin, 2011 - 2015.
• Guest researcher at University Pierre et Marie Curie (Paris VI), January - April 2014.
• Guest researcher and scholar of the German Academic Exchange Service at the Stevanovich Center for Financial Mathematics and the Department of Statistics at the University of Chicago, January - March 2012.
• Academic employee of the BMBF project FIDEUM (Financial derivatives in incomplete markets), University of Heidelberg and Humboldt University of Berlin, November 2007 - December 2010.

Education

• Dr. rer. nat. at Humboldt University of Berlin in 2011.
• Diploma in Mathematics at University of Heidelberg in 2007.

Genealogy

• Supervisor of PhD: Prof. Dr. Markus Reiß
• Mathematics Genealogy
• Supervised PhDs: Dr. Mehmet Madensoy

• Scandinavian Journal of Statistics, since 2020
• Annals of the Institute of Statistical Mathematics, since 2020
• Statistical Inference for Stochastic Processes, since 2019

Scientific profile at

• MathScinet

Publications of Markus Bibinger at Google Scholar

• Inference on the intraday spot volatility from high-frequency order prices with irregular microstructure noise, to appear in the Journal of Applied Probability 61(3), (2024)
• Efficient parameter estimation for parabolic SPDEs based on a log-linear model for realized volatilities (with Patrick Bossert), to appear in Japanese Journal of Statistics and Data Science (2023)
• Cusum tests for changes in the Hurst exponent and volatility of fractional Brownian motion, Statistics & Probability Letters 161, (2020) doi: 10.1016/j.spl.2020.108725
• Volatility estimation for stochastic PDEs using high-frequency observations (with Mathias Trabs), Stochastic processes and their applications 130(5), pp. 3005-3052 (2020).
• On central limit theorems for power variations of the solution to the stochastic heat equation (with Mathias Trabs), in Stochastic Models, Statistics and Their Applications (Springer Proceedings in Mathematics & Statistics, PROMS, volume 294), pp. 69-84, Springer, Cham, (2019).
• Estimation of the discontinuous leverage effect: Evidence from the NASDAQ order book (with Christopher Neely and Lars Winkelmann), Journal of Econometrics 209(2), pp. 158-184 (2019).
• Change-point inference on volatility in noisy Itô semimartingales (with Mehmet Madensoy), Stochastic processes and their applications 129(12), pp. 4878-4925 (2019).
• Common price and volatility jumps in noisy high-frequency data (with Lars Winkelmann), Electronic Journal of Statistics 12(1), pp. 2018-2073 (2018).
• Estimating the spot covariation of asset prices - Statistical Theory and Empirical Evidence (with N. Hautsch, P. Malec and M. Reiß), Journal of Business and Economic Statistics 37(3), pp. 419-435 (2019).
• Nonparametric change-point analysis of volatility (with Moritz Jirak and Mathias Vetter), Annals of Statistics 45(4), pp. 1542-1578 (2017).
• Inference for Multi-Dimensional High-Frequency Data with an Application to Conditional Independence Testing (with Per A. Mykland), Scandinavian Journal of Statistics 43(4), pp. 1078-1102 (2016).
• Volatility estimation under one-sided errors with applications to limit order books (with Moritz Jirak and Markus Reiß), Annals of Applied Probability 26(5), pp. 2754-2790 (2016).
• Functional stable limit theorems for quasi-efficient spectral covolatility estimators (with Randolf Altmeyer), Stochastic Processes and their Applications 125(12), pp. 4556-4600 (2015).
• ECB monetary policy surprises: identification through cojumps in interest rates (with Lars Winkelmann and Tobias Linzert), Journal of Applied Econometrics 31(4), pp. 613-629 (2016).
• Econometrics of co-jumps in high-frequency data with noise (with Lars Winkelmann), Journal of Econometrics 184(2), pp. 361-378 (2015).
• Estimating the quadratic covariation of an asynchronously observed semimartingale with jumps (with Mathias Vetter), Annals of the Institute of Statistical Mathematics 67(4), pp. 707-743 (2015).
• Estimating the quadratic covariation matrix from noisy observations: local method of moments and efficiency (with N. Hautsch, P. Malec and M. Reiß), Annals of Statistics 42 (4), pp. 80–114 (2014).
• Spectral covolatility estimation from noisy observations using local weights (with Markus Reiß), Scandinavian Journal of Statistics 41(1), pp. 23–50 (2014).
• An estimator for the quadratic covariation of asynchronously observed Itô processes with noise: Asymptotic distribution theory, Stochastic Processes and their Applications 122(6), pp. 2411–2453 (2012).
• Efficient Covariance Estimation for Asynchronous Noisy High-Frequency Data, Scandinavian Journal of Statistics 38(1), pp. 23–45 (2011).

Preprint versions of all papers are on arXiv.

Working papers are listed at publications.

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Book review on Measuring statistical evidence using relative belief; by Michael J. Evans [Chapman & Hall/CRC Press, Boca Raton, FL, 2015]. Journal of the American Statistical Association 111(514), 916–917, (2016).

Since 2020 contribution of reviews for Mathematical Reviews.

• Gumbel convergence of the maximum of convoluted half-normally distributed random variables (2021)
• Applying volatility estimators based on limit order books (2014) (mit Moritz Jirak und Markus Reiß)
• Notes on the sum and maximum of independent exponentially distributed random variables with different scale parameters (2013)
• Asymptotics of Asynchronicity (2011)

• Estimating the Quadratic Covariation from Asynchronous Noisy High-Frequency Observations, Dissertation, Humboldt University of Berlin (2011)

• 2023: 64th ISI World Statistics Congress - Ottawa, Canada
• 2023: European Meeting of Statisticians (EMS) at Warsaw
• 2018 and 2015: WIAS-Seminar on Mathematical Statistics, Berlin
• 2018: Rhein-Main Kolloquium Stochastik, Mainz
• 2018: 12th International Vilnius Conference on Probability Theory and Mathematical Statistics and 2018 IMS Annual Meeting on Probability and Statistics, Lithuania
• 2018: Workshop on Statistical Inference in Energy Markets, Institut Henri Poincaré, Paris
• 2017: Conference on Digital Economy and Decision Analytics, Xiamen, China
• 2017: Colloquium des Instituts für Statistik und Operations Research, University of Vienna, Wien, Austria
• 2017: Seminar on Probability and Statistics, The University of Tokyo, Japan
• 2016: Conference ‘Market Microstructure and High-frequency data’, The Stevanovich Center for Financial Mathematics, Chicago, USA
• 2016: CREATES Seminar, Aarhus University, Denmark
• 2016: Econometrics Seminar, Cambridge University, UK
• 2015: Forschungsseminar Stochastische Analysis und Stochastik der Finanzmärkte, Technische Universität und Humboldt-Universität Berlin
• 2014: Symposium on Financial Engineering and ERM, Hitotsubashi University, Japan
• 2014: Séminaire Finance mathématique, probabilités numériques et statistique des processus, LPMA Paris
• 2013: Princeton-Humboldt conference, Princeton, USA
• 2012: The 3rd WISE-Humboldt-Workshop on “Nonparametric Nonstationary High-dimensional Econometrics”, Xiamen, China
• 2012: Workshop “Statistics for Stochastic Processes: Inference, Limit Theorems, Finance and Data Analysis”, Institut Louis Bachelier, Paris
• 2012: Financial Mathematics Seminar, The Stevanovich Center for Financial Mathematics, Chicago, USA
• 2011: Statistique Asymptotique des Processus Stochastiques (SAPS) VIII, Le Mans, France.

Organization of conferences and workshops:
• 2015: Conference Berlin Meeting on Statistical Analysis of Stochastic Processes
• 2014: Workshop Recent Advances in Statistics of High-Frequency Data
• 2012: Hermann Otto Hirschfeld Lecture with Tony Cai
Organization of sessions:
• 2021: Member of the Scientific Program Committee of the CMStatistics conference 2021 and Section Statistics for high-frequency price and volatility models
• 2020: Section Statistics for high-dimensional high-frequency data at the virtual CMStatistics conference 2020
• 2019: Section Statistics in Finance at the DAGStat-Tagung 2019 in Munich
• 2019: Session Statistics for Stochastic PDEs at the 14th Workshop on Stochastic Models, Statistics and their Applications (SMSA), in Dresden
• 2018: Section Statistics of stochastic processes at the 13th German Probability and Statistics Days 2018