期限和交易在美国国债市场信息同化过程中的作用

Peter Chen, K. Man, Junbo Wang, Chunchi Wu
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引用次数: 2

摘要

我们研究了交易的信息作用和交易之间的时间在国内和海外美国国债市场。采用向量自回归模型来评估交易的信息含量和交易之间的时间间隔。我们发现交易和交易之间的时间间隔对价格变化有显著影响。交易规模越大,价格修正和收益波动越大,交易强度越大,交易对价格的影响越大,对新信息的价格调整速度越快,波动性越大。较高的知情交易和较低的流动性导致日间交易时段买卖价差较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Duration and Trades in the Information Assimilation Process of the US Treasury Market
We examine the informational roles of trades and time between trades in the domestic and overseas US Treasury markets. A vector autoregressive model is employed to assess the information content of trades and time duration between trades. We find significant impacts of trades and time duration between trades on price changes. Larger trade size induces greater price revision and return volatility, and higher trading intensity is associated with a greater price impact of trades, a faster price adjustment to new information and higher volatility. Higher informed trading and lower liquidity contribute to larger bid–ask spreads off the regular daytime trading period.
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