Push-response anomalies in high-frequency S&P 500 price series
Dmitrii Vlasiuk, Mikhail Smirnov

TL;DR
This paper investigates intraday price response patterns in high-frequency S&P 500 data, revealing a lag-dependent anomaly where larger pushes lead to nonzero responses, indicating short-term market inefficiencies and asymmetric liquidity effects.
Contribution
It introduces a detailed lag-by-magnitude analysis of intraday price responses, uncovering persistent structural shifts and asymmetries in liquidity replenishment that were previously unobserved.
Findings
Expected responses cluster near zero at short lags, indicating efficiency.
Beyond short lags, larger pushes correlate with nonzero responses, revealing anomalies.
Negative pushes trigger stronger positive responses, showing asymmetric liquidity replenishment.
Abstract
We test the hypothesis that consecutive intraday price changes in the most liquid U.S. equity ETF (SPY) are conditionally nonrandom. Using NBBO event-time data for about 1,500 regular trading days, we form for every lag L ordered pairs of a backward price increment ("push") and a forward price increment ("response"), standardize them, and estimate the expected responses on a fine grid of push magnitudes. The resulting lag-by-magnitude maps reveal a persistent structural shift: for short lags (1-5,000 ticks), expected responses cluster near zero across most push magnitudes, suggesting high short-term efficiency; beyond that range, pronounced tails emerge, indicating that larger historical pushes increasingly correlate with nonzero conditional responses. We also find that large negative pushes are followed by stronger positive responses than equally large positive pushes, consistent with…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
