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Der Finanzplatz Deutschland ist im internationalen Wettbewerb einem starken Druck ausgesetzt. Die Diskussionsteilnehmer erörtern den Status quo des strukturellen Umfelds sowie mögliche Entwicklungstendenzen. So spielt die Bankenlandschaft eine ebenso bestimmende Rolle wie die finanzielle...
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Bayesian learning claims that the strength of the price impact of unanticipated information depends on the relative precision of traders' prior and posterior beliefs. In this paper, we test for this implication of Bayesian models by analyzing intraday price responses of T-bond futures to U.S....
Persistent link: https://www.econbiz.de/10005407061
This paper analyzes the interday stability of the price process using transaction data. While the vast majority of empirical studies on the microstructure of financial markets rests on the tacit assumption that observed prices are generated by a time-invariant price process, we question this...
Persistent link: https://www.econbiz.de/10005413054
The intraday response of T‐bond futures prices to surprises in headline figures of U.S. macroeconomic reports is investigated. Analyzing the time series properties and the information content of the macroeconomic news flow, the answer to the question, “What determines the relative price...
Persistent link: https://www.econbiz.de/10011197670
This study investigates why financial markets react to the release of some economic indicators while ignoring others with similar informational content. Based on a Bayesian learning model, we show that the market impact of an economic indicator depends crucially on its early availability. The...
Persistent link: https://www.econbiz.de/10011197860
An important claim of Bayesian learning and a standard assumption in price discovery models is that the strength of the price impact of unanticipated information depends on the precision of the news. In this paper, we test for this assumption by analyzing intra-day price responses of CBOT T-bond...
Persistent link: https://www.econbiz.de/10010984848
We analyze how markets adjust to new information when the reliability of news is uncertain and has to be estimated itself. We propose a Bayesian learning model where market participants receive fundamental information along with noisy estimates of news' precision. It is shown that the efficiency...
Persistent link: https://www.econbiz.de/10010984859