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Journal of Financial and Quantitative Analysis Vol. 46 No. 3 2011

Liquidity Dynamics and Cross-Autocorrelations

Tarun Chordia1; Asani Sarkar2; Avanidhar Subrahmanyam3

1 Emory University · 2 Federal Reserve Bank of New York · 3 University of California, Los Angeles

Abstract

This paper examines the relation between information transmission and cross-autocorrelations. We present a simple model, where informed trading is transmitted from large to small stocks with a lag. In equilibrium, large stock illiquidity induced by informed trading portends stronger cross-autocorrelations. Empirically, we find that the lead-lag relation increases with lagged large stock illiquidity. Further, the lead from large stock order flows to small stock returns is stronger when large stock spreads are higher. In addition, this lead-lag relation is stronger before macro announcements (when information-based trading is more likely) and weaker afterward (when information asymmetries are lower).

DOI
10.1017/s0022109011000081
Volume
46
Issue
3
Pages
709-736
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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