Risky Arbitrage Strategies, Optimal Portfolio Choice, and Economic Implications

Working Paper: CEPR ID: DP7188

Authors: Jun Liu; Allan G. Timmermann

Abstract: We define risky arbitrages as self-financing trading strategies that have a strictly positive market price but a zero expected cumulative payoff. A continuous time cointegrated system is used to model risky arbitrages as arising from a mean-reverting mispricing component. We derive the optimal trading strategy in closed-form and show that the standard textbook arbitrage strategy is not optimal. In a calibration exercise, we show that the optimal strategy makes a sizeable difference in economic terms.

Keywords: Cointegrated Asset Prices; Optimal Portfolio Choice; Risky Arbitrage

JEL Codes: G11


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
mispricing (D49)traditional arbitrage strategies are not optimal (G19)
mispricing (D49)optimal portfolio weights (G11)
optimal portfolio weights (G11)utility losses associated with suboptimal strategies (L97)
degree of mispricing (G19)optimal strategy (L21)
correlation between asset prices (G19)optimal strategy (L21)
asymmetric mispricing (G19)significant economic benefits compared to traditional approaches (O22)

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