Correlated Trading and Returns

Working Paper: CEPR ID: DP6530

Authors: Daniel Dorn; Gur Huberman; Paul Sengmueller

Abstract: A German broker?s clients place similar speculative trades and therefore tend to be on the same side of the market in a given stock during a given day, week, month, and quarter. Aggregate liquidity effects, short sale constraints, the systematic execution of limit orders (coordinated through price movements) or the correlated trading of other investors who pick off retail limit orders, do not fully explain why retail investors trade similarly. Correlated market orders lead returns, presumably due to persistent speculative price pressure. Correlated limit orders also predict subsequent returns, consistent with executed limit orders being compensated for accommodating liquidity demands.

Keywords: correlated trading

JEL Codes: G1


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
liquidity demands (E41)price movements (E30)
aggregated limit orders (C69)negative feedback trades (G41)
correlated speculative trades (G19)returns (Y60)
speculative buying behavior (D84)returns (Y60)
trade imbalances (F14)returns (Y60)

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