Financial network systemic risk contributions N Hautsch, J Schaumburg, M Schienle Review of Finance 19 (2), 685-738, 2015 | 582 | 2015 |
When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions A Groß-Klußmann, N Hautsch Journal of Empirical Finance 18 (2), 321-340, 2011 | 371 | 2011 |
Modelling financial high frequency data using point processes L Bauwens, N Hautsch Handbook of financial time series, 953-979, 2009 | 312 | 2009 |
Econometrics of financial high-frequency data N Hautsch Springer Science & Business Media, 2011 | 270 | 2011 |
The market impact of a limit order N Hautsch, R Huang Journal of Economic Dynamics and Control 36 (4), 501-522, 2012 | 214 | 2012 |
Modelling irregularly spaced financial data: theory and practice of dynamic duration models N Hautsch Springer Science & Business Media, 2004 | 175 | 2004 |
Systemic risk spillovers in the European banking and sovereign network F Betz, N Hautsch, TA Peltonen, M Schienle Journal of Financial Stability 25, 206-224, 2016 | 169 | 2016 |
A blocking and regularization approach to high‐dimensional realized covariance estimation N Hautsch, LM Kyj, RCA Oomen Journal of Applied Econometrics 27 (4), 625-645, 2012 | 158 | 2012 |
Order aggressiveness and order book dynamics AD Hall, N Hautsch High Frequency Financial Econometrics: Recent Developments, 133-165, 2008 | 128 | 2008 |
Stochastic conditional intensity processes L Bauwens, N Hautsch Journal of Financial Econometrics 4 (3), 450-493, 2006 | 127 | 2006 |
Preaveraging-based estimation of quadratic variation in the presence of noise and jumps: theory, implementation, and empirical evidence N Hautsch, M Podolskij Journal of Business & Economic Statistics 31 (2), 165-183, 2013 | 116 | 2013 |
Estimating the quadratic covariation matrix from noisy observations: Local method of moments and efficiency M Bibinger, N Hautsch, P Malec, M Reiß | 109 | 2014 |
Forecasting systemic impact in financial networks N Hautsch, J Schaumburg, M Schienle International Journal of Forecasting 30 (3), 781-794, 2014 | 103 | 2014 |
Bayesian learning in financial markets: Testing for the relevance of information precision in price discovery N Hautsch, D Hess Journal of Financial and Quantitative Analysis 42 (1), 189-208, 2007 | 102 | 2007 |
Do high‐frequency data improve high‐dimensional portfolio allocations? N Hautsch, LM Kyj, P Malec Journal of Applied Econometrics 30 (2), 263-290, 2015 | 99 | 2015 |
Modelling the buy and sell intensity in a limit order book market AD Hall, N Hautsch Journal of financial markets 10 (3), 249-286, 2007 | 85 | 2007 |
Estimating the spot covariation of asset prices—statistical theory and empirical evidence M Bibinger, N Hautsch, P Malec, M Reiss Journal of Business & Economic Statistics 37 (3), 419-435, 2019 | 72 | 2019 |
Capturing the zero: a new class of zero-augmented distributions and multiplicative error processes N Hautsch, P Malec, M Schienle Journal of Financial Econometrics 12 (1), 89-121, 2014 | 67 | 2014 |
Capturing common components in high-frequency financial time series: A multivariate stochastic multiplicative error model N Hautsch Journal of Economic Dynamics and Control 32 (12), 3978-4015, 2008 | 66 | 2008 |
Volatility estimation on the basis of price intensities F Gerhard, N Hautsch Journal of Empirical Finance 9 (1), 57-89, 2002 | 66 | 2002 |