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The Cost of Misspecifying Price Impact

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arxiv 2306.00599 v1 pith:TX6TM3TZ submitted 2023-06-01 q-fin.TR

classification q-fin.TR
keywords impactcostspricetradingalphaconcavitycostdecay
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Portfolio managers' orders trade off return and trading cost predictions. Return predictions rely on alpha models, whereas price impact models quantify trading costs. This paper studies what happens when trades are based on an incorrect price impact model, so that the portfolio either over- or under-trades its alpha signal. We derive tractable formulas for these misspecification costs and illustrate them on proprietary trading data. The misspecification costs are naturally asymmetric: underestimating impact concavity or impact decay shrinks profits, but overestimating concavity or impact decay can even turn profits into losses.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Automated Market Making: the case of Pegged Assets

    q-fin.TR 2024-11 conditional novelty 6.0 of 10

    A new AMM model uses nested Ornstein-Uhlenbeck dynamics with filtering to quote stablecoin and liquid-staking token pairs, and beat geometric Brownian motion-based AMMs in simulation.

  2. Market Making and Transient Impact in Spot FX

    q-fin.TR 2026-01 conditional novelty 5.0 of 10

    For an FX dealer, optimal hedging and quoting under exponentially decaying market impact are governed by a simple closed-form factor β/(β+ω) that interpolates between permanent and instantly-resilient impact.

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