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Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory

Lo, Andrew W., Wang, Jiang·2000·Review of Financial Studies

Abstract

We examine the implications of portfolio theory for the cross-sectional behavior of equity trading volume. Two-fund separation theorems suggest a natural definition for trading activity: share turnover. If two-fund separation holds, share turnover must be identical for all securities. If |$(K + 1)$|-fund separation holds, we show that turnover satisfies an approximately linear |$K$|-factor structure. These implications are examined empirically using individual weekly turnover data for NYSE and AMEX securities from 1962 to 1996. We find strong evidence against two-fund separation, and a principal-components decomposition suggests that turnover is well approximated by a two-factor linear model.

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Metadata

Authors
Lo, A. W., & Wang, J.
Venue
Review of Financial Studies
Published
2000-04
Volume
13
Issue
2
Pages
257-300
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W2891790148
Cited by
694
References
1
FWCI
32.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory. https://app.cochat.ai/papers/10.1093/rfs/13.2.257
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Lo, A. W., & Wang, J. (2000). Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory. Review of Financial Studies. https://doi.org/10.1093/rfs/13.2.257

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