From Alpha to Execution: Trading Horizons, Regimes, and Schedules under Concave Impact and Hurst Scaling

By Dnyanesh Kulkarni, Revant Nayar

Rating

1919
Battle Count: 50

Relevance

9/10
Highly relevant for institutional traders and quant funds. It challenges classical Almgren-Chriss assumptions by incorporating realistic non-diffusive price dynamics (Hurst scaling) and concave impact, providing actionable insights on how to choose execution horizons and schedules based on alpha decay and market persistence.

Implementation Complexity

6/10
The theoretical derivation is complex, involving fractional Brownian motion and convex optimization. However, the final schedule has a closed-form solution (involving incomplete beta functions) that is computationally efficient to implement. The main complexity lies in calibrating the parameters (beta, H, theta) from market data.

Reproducibility

3/5
The paper provides full analytical derivations, closed-form solutions, and specific parameter values for a worked example (AMZN). However, no public code repository is linked, and the market data used for the example (AMZN trading data from Jan 2026) is not explicitly provided as a dataset, though it is described as standard market data.

Abstract

Classical execution models assume linear impact, diffusive prices, and an exogenous horizon. We study execution under concave power-law impact and Hurst-scaled price fluctuations, and make two contributions. First, we choose the execution horizon by maximizing the Sharpe ratio of the trade's realized P&L. Price moves during the execution window are part of that P&L, so executing more slowly reduces its variance, and because impact is concave it can also lower cost per share. Urgency comes only from alpha realized while the order is being worked. The problem is governed by the signs of two quantities: (i) the duration elasticity of impact a, which under a structural prior equals the impact-persistence gap β- H and can take either sign; and (ii) the net urgency ν, the rate of alpha realization net of exposure relief. When ν keeps its sign over the window, an interior optimum exists, to leading order in T/t_f, only when both are positive; otherwise the order should be worked at the fastest or slowest admissible pace. In the interior regime the first-order condition involves no impact coefficient, order size or volume, and the objective is flat: for a large-cap example, the window within 1% of maximal Sharpe spans more than an order of magnitude. Second, given the window, we derive the schedule shape by convex programming under an envelope cost. For any increasing per-share cost of delay w(t), the KKT solution is φ∝ (λ- w(t))_+^1/β. For a Hurst-scaled envelope w ∝ t^H, the normalized schedule depends only on (β, H), has a closed form via the incomplete beta function, is front-loaded, and tapers smoothly to zero, saving 10-17% of envelope cost relative to a constant-rate (TWAP) schedule of equal duration. Whether it uses the whole window depends on a single dimensionless robustness level, for which we give a calibration.

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