Endogenous informed trading in the presence of trading costs: Theory and evidence

Jin Wan Cho; Jhinyoung Shin; Rajdeep Singh

doi:10.1016/S1386-4181(99)00003-8

Endogenous informed trading in the presence of trading costs: Theory and evidence

Jin Wan Cho, Jhinyoung Shin, Rajdeep Singh

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The basic premise of the model we propose is that market frictions (trading costs) force traders with market-wide information to strategically choose which securities to trade in. We study the effect of recognizing trading costs on the choices of informed traders and the resulting statistical properties of security prices. Specifically, we show that (1) stocks with intermediate β's have the least informative prices, even though they are traded by the greatest number of informed traders; (2) for high β securities, the contemporaneous correlation of prices is close to the correlation in fundamental values; (3) a security with a higher β, higher volume of liquidity trading and lower idiosyncratic variance is more likely to lead another security. With market capitalization as a proxy for the level of liquidity trading, these specific predictions of the model on the lead-lag relationship are also shown to be strongly supported by the data.

Original language	English (US)
Pages (from-to)	273-305
Number of pages	33
Journal	Journal of Financial Markets
Volume	2
Issue number	3
DOIs	https://doi.org/10.1016/S1386-4181(99)00003-8
State	Published - Aug 1999
Externally published	Yes

Bibliographical note

Funding Information:
We are especially indebted to Avanidhar Subrahmanyam (editor) and an anonymous referee for providing direction and invaluable insights. We also acknowledge the helpful comments of Sugato Bhattacharyya, Bruno Biais, Peter Bossaerts, David Brown, K.C. Chan, Rick Green, Larry Harris, Arnold Juster, Duane Seppi, Chester Spatt, Sheridan Titman and seminar participants at Carnegie Mellon University, Seoul National University, the Hong Kong University of Science and Technology, 1996 European Finance Association Conference at Oslo, 1997 Australian Finance and Banking Conference. We are grateful for the financial support from the William Larimer Mellon Fund and the Margaret and Richard M. Cyert Family Fund. The usual disclaimer applies.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

Lead-lag effect
Market microstructure
Trading costs

Publisher link

10.1016/S1386-4181(99)00003-8

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title = "Endogenous informed trading in the presence of trading costs: Theory and evidence",

abstract = "The basic premise of the model we propose is that market frictions (trading costs) force traders with market-wide information to strategically choose which securities to trade in. We study the effect of recognizing trading costs on the choices of informed traders and the resulting statistical properties of security prices. Specifically, we show that (1) stocks with intermediate β's have the least informative prices, even though they are traded by the greatest number of informed traders; (2) for high β securities, the contemporaneous correlation of prices is close to the correlation in fundamental values; (3) a security with a higher β, higher volume of liquidity trading and lower idiosyncratic variance is more likely to lead another security. With market capitalization as a proxy for the level of liquidity trading, these specific predictions of the model on the lead-lag relationship are also shown to be strongly supported by the data.",

keywords = "Lead-lag effect, Market microstructure, Trading costs",

author = "Cho, {Jin Wan} and Jhinyoung Shin and Rajdeep Singh",

note = "Funding Information: We are especially indebted to Avanidhar Subrahmanyam (editor) and an anonymous referee for providing direction and invaluable insights. We also acknowledge the helpful comments of Sugato Bhattacharyya, Bruno Biais, Peter Bossaerts, David Brown, K.C. Chan, Rick Green, Larry Harris, Arnold Juster, Duane Seppi, Chester Spatt, Sheridan Titman and seminar participants at Carnegie Mellon University, Seoul National University, the Hong Kong University of Science and Technology, 1996 European Finance Association Conference at Oslo, 1997 Australian Finance and Banking Conference. We are grateful for the financial support from the William Larimer Mellon Fund and the Margaret and Richard M. Cyert Family Fund. The usual disclaimer applies. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.",

year = "1999",

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doi = "10.1016/S1386-4181(99)00003-8",

language = "English (US)",

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N2 - The basic premise of the model we propose is that market frictions (trading costs) force traders with market-wide information to strategically choose which securities to trade in. We study the effect of recognizing trading costs on the choices of informed traders and the resulting statistical properties of security prices. Specifically, we show that (1) stocks with intermediate β's have the least informative prices, even though they are traded by the greatest number of informed traders; (2) for high β securities, the contemporaneous correlation of prices is close to the correlation in fundamental values; (3) a security with a higher β, higher volume of liquidity trading and lower idiosyncratic variance is more likely to lead another security. With market capitalization as a proxy for the level of liquidity trading, these specific predictions of the model on the lead-lag relationship are also shown to be strongly supported by the data.

AB - The basic premise of the model we propose is that market frictions (trading costs) force traders with market-wide information to strategically choose which securities to trade in. We study the effect of recognizing trading costs on the choices of informed traders and the resulting statistical properties of security prices. Specifically, we show that (1) stocks with intermediate β's have the least informative prices, even though they are traded by the greatest number of informed traders; (2) for high β securities, the contemporaneous correlation of prices is close to the correlation in fundamental values; (3) a security with a higher β, higher volume of liquidity trading and lower idiosyncratic variance is more likely to lead another security. With market capitalization as a proxy for the level of liquidity trading, these specific predictions of the model on the lead-lag relationship are also shown to be strongly supported by the data.

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Endogenous informed trading in the presence of trading costs: Theory and evidence

Abstract

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