4.2 Article

Intraday price discovery in fragmented markets

期刊

JOURNAL OF FINANCIAL MARKETS
卷 32, 期 -, 页码 28-48

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.finmar.2016.10.001

关键词

High-frequency data; Market microstructure; Price discovery; Kalman filter

资金

  1. Netherlands Organisation for Scientific Research (NWO)
  2. CREATES - Danish National Research Foundation

向作者/读者索取更多资源

We explore intraday variation in the contribution to price discovery across different exchanges. We estimate a structural model with time-varying parameters in state space form using maximum likelihood. We analyze data for 50 S&P 500 stocks in 2013 and find that the constancy of shares in price discovery is rejected. Tighter quoted spreads attract informed trading from other exchanges. Exchange listing and industrial sector of a stock significantly affect the dominant venues of price discovery in different parts of the day and following macroeconomic news announcements. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据