Information flow and price discovery dynamics

被引:1
|
作者
Wu, Lei [1 ]
Xu, Kuan [2 ,3 ]
Meng, Qingbin [4 ]
机构
[1] Beihang Univ, Sch Econ & Management, 37 Xueyuan Rd, Beijing 100191, Peoples R China
[2] Dalhousie Univ, Dept Econ, POB 15000, Halifax, NS B3H 4R2, Canada
[3] St Marys Univ, Sobey Sch Business, Dept Econ, 923 Robie St, Halifax, NS B3H 3C3, Canada
[4] Renmin Univ China, Sch Business, 59 Haidian Rd, Beijing 100872, Peoples R China
基金
中国国家自然科学基金;
关键词
Financial markets; Price discovery; Information flow; MACROECONOMIC NEWS; INTRADAY ANALYSIS; MARKETS; ANNOUNCEMENTS; INTEGRATION; COMPONENTS; SECURITY; IMPACTS; STOCKS;
D O I
10.1007/s11156-020-00896-8
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Non-homogeneous and time-varying information flow that affects the price discovery processes within and across markets is a common occurrence in reality but is often neglected in the literature of price discovery. To analyze such information flow within and across markets, we propose a new strategy with a new dynamic price discovery measure. We use this strategy to test the efficient home market hypothesis and the sector effect hypothesis based on the intraday data of the 115 stocks cross-listed and traded in the Canadian and U.S. stock markets. We find that the Canadian stock market is more efficient in price discovery for the Canadian stocks cross-listed in the U.S. stock market. A higher trading volume in the Canadian market makes price discovery in that market more efficient. The Canadian stock market is more efficient in price discovery for stocks in the basic materials sector but not in the technology and financial sectors. The NYSE Alternext is more efficient for junior stocks while the NASDAQ is more efficient for technology stocks.
引用
收藏
页码:329 / 367
页数:39
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