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March 15, 2026Annals of Operations Research0 citationsOpen Access

Broker network connectivity and the cross-section of expected returns

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MTMurat TiniçAŞAhmet ŞensoyMDMüge Demir

Key Points

  • This research investigates how broker network connectivity influences future stock returns.
  • Analyzed stocks traded in Borsa Istanbul from March 2005 to November 2015
  • Estimated proxies for broker network connectivity, including density, reciprocity, and clustering coefficients
  • Used intraday panel regressions to assess economic mechanisms.
  • Identified a significant negative predictive relationship between connectivity and one-month ahead returns
  • Stocks in the lowest connectivity quintile achieved monthly return premiums of 1.2% - 1.8%
  • Connectivity associated with lower adverse selection risks even in passive intermediary markets.

Abstract

Abstract We examine the systematic impact of broker network connectivity on future returns in an order-driven market. For all stocks traded in Borsa Istanbul between March 2005 and November 2015, we estimate network density, reciprocity, and average weighted clustering coefficients as proxies for the broker network connectivity. Our results indicate a negative and significant predictive relationship between connectivity and one-month ahead returns. Stocks in the lowest connectivity quintile earn 1.2% - 1.8% monthly return premiums. We further identify an economic mechanism as to why investors demand a premium for holding stocks with sparse broker networks through intraday panel regressions. Our results suggest that broker connectivity is associated with lower adverse selection risks, even for order-driven markets where intermediaries are assumed to be passive agents.

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Cite This Study

Tiniç et al. (2026) studied this question.

synapsesocial.com/papers/69b606c483145bc643d1d0dfhttps://doi.org/10.1007/s10479-026-07082-4
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