Trading strategies of corporate insiders

O. Klein, E. Maug, Christoph Schneider

Research output: Contribution to journalArticleScientificpeer-review

Abstract

We test two complementary theories of optimal trading strategies by analyzing the transaction patterns of corporate insiders. According to information-based theories, investors trade faster if they compete with others for exploiting the same information, while liquidity-based theories predict the opposite. Our analysis supports the predictions of liquidity-based models: insiders take longer to complete trades when they face competition from other insiders and they trade slower in less liquid markets. Insiders adapt to fluctuations in market liquidity. We identify informed trading using CARs, company news announcements, and insider trading patterns. Our results support the predictions of information-based models for informed trades.
Original languageEnglish
Pages (from-to)48-68
JournalJournal of Financial Markets
Volume34
DOIs
Publication statusPublished - 2017

Fingerprint

Trading strategies
Insider
Prediction
Liquidity
Investors
Informed trading
News announcements
Fluctuations
Market liquidity
Insider trading

Keywords

  • trade splitting
  • informed trading
  • block trading
  • insider trading
  • liquidity
  • Sarbanes-Oxley

Cite this

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title = "Trading strategies of corporate insiders",
abstract = "We test two complementary theories of optimal trading strategies by analyzing the transaction patterns of corporate insiders. According to information-based theories, investors trade faster if they compete with others for exploiting the same information, while liquidity-based theories predict the opposite. Our analysis supports the predictions of liquidity-based models: insiders take longer to complete trades when they face competition from other insiders and they trade slower in less liquid markets. Insiders adapt to fluctuations in market liquidity. We identify informed trading using CARs, company news announcements, and insider trading patterns. Our results support the predictions of information-based models for informed trades.",
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Trading strategies of corporate insiders. / Klein, O.; Maug, E.; Schneider, Christoph.

In: Journal of Financial Markets, Vol. 34, 2017, p. 48-68.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Klein, O.

AU - Maug, E.

AU - Schneider, Christoph

PY - 2017

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N2 - We test two complementary theories of optimal trading strategies by analyzing the transaction patterns of corporate insiders. According to information-based theories, investors trade faster if they compete with others for exploiting the same information, while liquidity-based theories predict the opposite. Our analysis supports the predictions of liquidity-based models: insiders take longer to complete trades when they face competition from other insiders and they trade slower in less liquid markets. Insiders adapt to fluctuations in market liquidity. We identify informed trading using CARs, company news announcements, and insider trading patterns. Our results support the predictions of information-based models for informed trades.

AB - We test two complementary theories of optimal trading strategies by analyzing the transaction patterns of corporate insiders. According to information-based theories, investors trade faster if they compete with others for exploiting the same information, while liquidity-based theories predict the opposite. Our analysis supports the predictions of liquidity-based models: insiders take longer to complete trades when they face competition from other insiders and they trade slower in less liquid markets. Insiders adapt to fluctuations in market liquidity. We identify informed trading using CARs, company news announcements, and insider trading patterns. Our results support the predictions of information-based models for informed trades.

KW - trade splitting

KW - informed trading

KW - block trading

KW - insider trading

KW - liquidity

KW - Sarbanes-Oxley

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JF - Journal of Financial Markets

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