Positive Feedback Trading Under Stress: Evidence from the US Treasury Securities Market
Cohen and
Shin
Global Economic Review, 2013, vol. 42, issue 4, 314-345
Abstract:
A vector autoregression (VAR) is estimated on tick-by-tick data for quote-changes and signed trades of 2-year, 5-year and 10-year on-the-run US Treasury notes. Confirming the results found by Hasbrouck and others for the stock market, signed order flow tends to exert a strong effect on prices. More interestingly, however, there is often a strong effect in the opposite direction, particularly at times of volatile trading. Price declines elicit sales and price increases elicit purchases. An examination of tick-by-tick trading on an especially volatile day confirms this finding. At least in the US Treasury market, trades and price movements appear likely to exhibit positive feedback at short horizons, particularly during periods of market stress. This suggests that the standard analytical approach to the microstructure of financial markets, which focuses on the ways in which the information possessed by informed traders becomes incorporated into market prices through order flow, should be complemented by an account of how price changes affect trading decisions.
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/1226508X.2013.860707 (text/html)
Access to full text is restricted to subscribers.
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:taf:glecrv:v:42:y:2013:i:4:p:314-345
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RGER20
DOI: 10.1080/1226508X.2013.860707
Access Statistics for this article
Global Economic Review is currently edited by Kap-Young Jeong and Taeyoon Sung
More articles in Global Economic Review from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().