Inferring Public and Private Information from Trades and Quotes

Bart Frijns

The Financial Review, 2006, vol. 41, issue 1, 95-117

Abstract: We propose a new model that uses nonsynchronous, ultra‐high frequency data to analyze the sequential impact of trades and quotes on the price process. Private information is related to the impact of trades and public information to the impact of quotes. The model is extended to include various other factors that affect public and private information. For 20 active Nasdaq stocks, private information causes, on average, 9.43% of daily stock price movements. Additionally, quotes are more informative when (1) many dealers set the best price and (2) traditional market makers rather than Electronic Communication Networks set the best price.

Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://doi.org/10.1111/j.1540-6288.2006.00134.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:finrev:v:41:y:2006:i:1:p:95-117

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0732-8516

Access Statistics for this article

The Financial Review is currently edited by Cynthia J. Campbell and Arnold R. Cowan

More articles in The Financial Review from Eastern Finance Association Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().