Clustering and Competition in Asset Markets
Sanford Grossman,
Merton Miller,
Kenneth R Cone,
Daniel R Fischel and
David J Ross
Journal of Law and Economics, 1997, vol. 40, issue 1, 23-60
Abstract:
Economists, financial commentators, regulatory agencies, and the legal community have recently criticized the Nasdaq Stock Market, Inc., because there is greater clustering of stock quotations on even-eighths on Nasdaq than on the New York Stock Exchange or the American Stock Exchange, a phenomenon which critics attribute to collusion or some other defect in Nasdaq market structure. However as this article demonstrates, clustering occurs in varying degrees in many other incontestably competitive financial markets, including the NYSE, the AMEX, the London Stock Exchange, the London gold market, and the international foreign exchange market. This article provides a competitive theory of clustering that emphasizes the effect of uncertainty, the size of transactions, volatility, and the informational and transactional roles of quotations on the degree of clustering In addition, the article examines how market structure can affect the degree of clustering and considers the relation between clustering, spreads, and investors' transactions costs. Coauthors are Merton H. Miller, Kenneth R. Cone, Daniel R. Fischel, and David J. Ross. Copyright 1997 by the University of Chicago.
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (52)
Downloads: (external link)
http://dx.doi.org/10.1086/467365 (application/pdf)
Access to the online full text or PDF requires a subscription.
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:ucp:jlawec:v:40:y:1997:i:1:p:23-60
Access Statistics for this article
More articles in Journal of Law and Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().