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A descriptive study of high-frequency trade and quote option data
Andersen, Torben; Archakov, Ilya; Grund, Leon; Hautsch, … - In: Journal of financial econometrics 19 (2021) 1, pp. 128-177
Persistent link: https://www.econbiz.de/10012504324
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A blocking and regularization approach to high dimensional realized covariance estimation
Hautsch, Nikolaus; Kyj, Lada M.; Oomen, Roel C.A. - 2009
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003893144
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A blocking and regularization approach to high dimensional realized covariance estimation
Hautsch, Nikolaus; Kyj, Lada M.; Hautsch, Nikolaus - 2009
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003909174
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On the dark side of the market : identifying and analyzing hidden order placements
Hautsch, Nikolaus; Huang, Ruihong - 2012
Trading under limited pre-trade transparency becomes increasingly popular on financial markets. We provide first evidence on traders' use of (completely) hidden orders which might be placed even inside of the (displayed) bid-ask spread. Employing TotalView-ITCH data on order messages at NASDAQ,...
Persistent link: https://www.econbiz.de/10009504616
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On the dark side of the market : identifying and analyzing hidden order placements
Hautsch, Nikolaus; Huang, Ruihong - 2012 - First Version: December 2010, This Version: January 2012
Trading under limited pre-trade transparency becomes increasingly popular on financial markets. We provide first evidence on traders' use of (completely) hidden orders which might be placed even inside of the (displayed) bid-ask spread. Employing TotalView-ITCH data on order messages at NASDAQ,...
Persistent link: https://www.econbiz.de/10009487319
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Four essays on the econometric analysis of high-frequency order data
Huang, Ruihong - 2012
Persistent link: https://www.econbiz.de/10009670513
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Measuring and modeling risk using high-frequency data
Härdle, Wolfgang (contributor);  … - 2008
Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management … the daily or lower frequency volatility can be obtained by summing over squared high-frequency returns.In turn, this so …-called realized volatility can be used for more accurate model evaluation and description of the dynamic and distributional structure …
Persistent link: https://www.econbiz.de/10003727640
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The impact of macroeconomic news on quote adjustments, noise, and informational volatility
Hautsch, Nikolaus; Hess, Dieter; Veredas, David - 2010
reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow … imbalances. -- efficient return ; macroeconomic announcements ; microstructure noise ; informational volatility …
Persistent link: https://www.econbiz.de/10003952800
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The impact of macroeconomic news on quote adjustments, noise, and informational volatility
Hautsch, Nikolaus; Hess, Dieter; Veredas, David - 2010
reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow … imbalances. -- Efficient Return ; Macroeconomic Announcements ; Microstructure Noise ; Informational Volatility …
Persistent link: https://www.econbiz.de/10003947458
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Preaveraging-based estimation of quadratic variation in the presence of noise and jumps : theory, implementation, and empirical evidence
Hautsch, Nikolaus; Podolskij, Mark - In: Journal of business & economic statistics : JBES ; a … 31 (2013) 2, pp. 165-183
Persistent link: https://www.econbiz.de/10009754008