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Market Maker Revenues and Stock Market Liquidity

Authors: Carole Comerton-Forde; Terrence Hendershott; Charles M. Jones;

Market Maker Revenues and Stock Market Liquidity

Abstract

We use an 11-year panel of daily specialist revenues on individual NYSE stocks to explore the relationship between market-maker revenues and liquidity. If market makers suffer substantial trading losses, lenders may respond by increasing funding costs or reducing credit lines, and market makers should respond by reducing liquidity provision. The data indicate that when specialists in aggregate lose money on their inventories, market-wide effective spreads widen in the days or weeks that follow, even after controlling for stock returns, volatility, and volume. This suggests an important role for market-maker financial performance in explaining liquidity time-variation. Revenues at the specialist firm level explain liquidity changes in that firm's assigned stocks. Revenues at the individual stock level do not explain changes in individual stock liquidity, consistent with a financial constraints model with broadly diversified intermediaries. Aggregate specialist revenues are increasing in conditional return volatility, as is revenue volatility. Specialist margins (specialist revenue per dollar of trading volume) are essentially constant across stocks, implying limited scope for cross-subsidization.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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