Showing 1 - 10 of 18
Bayesian learning provides the core concept of information processing in financial markets. Typically, it is assumed … disclosed. Therefore, we extend standard Bayesian learning, suggesting traders infer news' precision from two different sources …' precision. -- Bayesian learning ; information quality ; precision signals ; macroeconomic announcements …
Persistent link: https://www.econbiz.de/10003761197
Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing … dis- closed. Therefore, we extend standard Bayesian learning, suggesting traders infer news' precision from magnitudes of …'s predictions and show that the effects are statistically and economically significant. -- Bayesian Learning ; Macroeconomic …
Persistent link: https://www.econbiz.de/10003831212
Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that …. Therefore, we extend standard Bayesian learning allowing traders to infer news' precision from two different sources. If … learning ; information quality ; precision signals ; macroeconomic announcements …
Persistent link: https://www.econbiz.de/10003693046
Persistent link: https://www.econbiz.de/10001683737
This paper provides theory as well as empirical results for pre-averaging estimators of the daily quadratic variation of asset prices. We derive jump robust inference for pre-averaging estimators, corresponding feasible central limit theorems and an explicit test on serial dependence in...
Persistent link: https://www.econbiz.de/10008663394
Persistent link: https://www.econbiz.de/10008651782
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
In this paper, we provide new empirical evidence on order submission activity and price impacts of limit orders at NASDAQ. Employing NASDAQ TotalView-ITCH data, we find that market participants dominantly submit limit orders with sizes equal to a round lot. Most limit orders are canceled almost...
Persistent link: https://www.econbiz.de/10009266828
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
Persistent link: https://www.econbiz.de/10009670513