Narrow search
Showing 1 - 10 of 54
Cover Image
Economic constraints and stock return predictability : a new approach
Zhang, Yaojie; Wei, Yu; Ma, Feng; Yi, Yongsheng - In: International review of financial analysis 63 (2019), pp. 1-9
Persistent link: https://www.econbiz.de/10012207360
Cover Image
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
Cover Image
Four essays on the econometric analysis of high-frequency order data
Huang, Ruihong - 2012
Persistent link: https://www.econbiz.de/10009670513
Cover Image
Predicting bid-ask spreads using long-memory autoregressive conditional poisson models
Groß-Klußmann, Axel; Hautsch, Nikolaus - In: Journal of forecasting 32 (2013) 8, pp. 724-742
Persistent link: https://www.econbiz.de/10010344462
Cover Image
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
Cover Image
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
Cover Image
Forecasting international equity market volatility : a new approach
Liang, Chao; Li, Yan; Ma, Feng; Zhang, Yaojie - In: Journal of forecasting 41 (2022) 7, pp. 1433-1457
Persistent link: https://www.econbiz.de/10013465704
Cover Image
Forecasting the U.S. stock volatility : an aligned jump index from G7 stock markets
Ma, Feng; Wahab, M. I. M.; Zhang, Yaojie - In: Pacific-Basin finance journal 54 (2019), pp. 132-146
Persistent link: https://www.econbiz.de/10012133635
Cover Image
Forecasting the realized volatility in the Chinese stock market : further evidence
Pu, Wang; Chen, Yixiang; Ma, Feng - In: Applied economics 48 (2016) 31/33, pp. 3116-3130
Persistent link: https://www.econbiz.de/10011616957
Cover Image
Asymmetric volatility spillovers between oil and stock markets : evidence from China and the United States
Xu, Weiju; Ma, Feng; Wang, Chen; Zhang, Bing - In: Energy economics 80 (2019), pp. 310-320
Persistent link: https://www.econbiz.de/10012173623