Market Microstructure and Stock Return Predictions

Roger D Huang and Hans Stoll

The Review of Financial Studies, 1994, vol. 7, issue 1, 179-213

Abstract: To what extent are the empirical regularities implied by market microstructure theories useful in predicting the short-run behavior of stock returns A two-equation econometric model of quote revisions and transaction returns is developed and used to identify the relative importance of different microstructure theories and to make predictions. Microstructure variables and lagged stock index futures returns have in-sample and out-of-sample predictive power based on data observed at five-minute intervals. The most striking microstructure implication of the model, confirmed by the empirical results, specifies that the expected quote return is positively related to the deviation between the transaction price and the quote midpoint while the expected transaction return is negatively related to the same variable. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.

Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (90)

Downloads: (external link)
http://www.jstor.org/fcgi-bin/jstor/listjournal.fcg/08939454 full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

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:oup:rfinst:v:7:y:1994:i:1:p:179-213

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

The Review of Financial Studies is currently edited by Itay Goldstein

More articles in The Review of Financial Studies from Society for Financial Studies Oxford University Press, Journals Department, 2001 Evans Road, Cary, NC 27513 USA.. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().