Who Pays the Most to Trade? Cross-client Dispersion in OTC Liquidity Prices

Abstract This study analyzes the wide dispersion in bid-ask spreads across clients in over-the-counter (OTC) markets. Our data detailed data comprise a dealing bank's complete trading record in a major OTC contract and include client IDs, seven client types, and precise markups. Average spreads are lowest for hedge funds (<1 basis point, bp) and highest for individuals and for small and medium enterprises (>50 bps). Regression results suggest that the primary source of variation is clients’ execution efficiency, meaning their ability to minimize execution costs. Efficient trading, which can require investments in knowledge and technology, has three dimensions: reliance on low-cost platforms; familiarity with market technologies, conventions, and negotiating strategies; and breadth of dealing relationships. Relations between proxies for client execution efficiency and client incentives to invest, such as trade frequency, are consistent with rational inattention.

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Publication Details

Journal
Review of Finance
Published
2026-09-12
DOI
https://doi.org/10.1093/rof/rfag042
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Who Pays the Most to Trade? Cross-client Dispersion in OTC Liquidity Prices

Neophytos Kathitziotis, Geir Høidal Bjønnes, Carol Osler
Review of Finance
Financial Markets and Investment Strategies
article

Who Pays the Most to Trade? Cross-client Dispersion in OTC Liquidity Prices

Neophytos Kathitziotis, Geir Høidal Bjønnes, Carol Osler
article en

Abstract

Abstract This study analyzes the wide dispersion in bid-ask spreads across clients in over-the-counter (OTC) markets. Our data detailed data comprise a dealing bank's complete trading record in a major OTC contract and include client IDs, seven client types, and precise markups. Average spreads are lowest for hedge funds (<1 basis point, bp) and highest for individuals and for small and medium enterprises (>50 bps). Regression results suggest that the primary source of variation is clients’ execution efficiency, meaning their ability to minimize execution costs. Efficient trading, which can require investments in knowledge and technology, has three dimensions: reliance on low-cost platforms; familiarity with market technologies, conventions, and negotiating strategies; and breadth of dealing relationships. Relations between proxies for client execution efficiency and client incentives to invest, such as trade frequency, are consistent with rational inattention.

Review of Finance
BI Norwegian Business School (NO), University of Cyprus (CY), Brandeis University (US)
Partnerships for the goals
Openalex Percentile: Top 7%
Financial Markets and Investment Strategies
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