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.
The Cost of Misspecifying Price Impact
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
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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Automated Market Making: the case of Pegged Assets
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.