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Abstract
Does the quest for best execution on behalf of large institutional orders boil down to optimizing the short-term momentum during their trading? We clip the trades originating from buy-side clients’ orders into five- and thirty-minute clusters and find that (1) mostly favorable short-term returns experienced by clients’ fills are counter-balanced by adverse returns when executions of parent orders in progress are postponed; (2) although cost curve heuristics for short and longer horizon clusters are mostly alive and well, the “identical twins” positive cost-return relation over longer horizons tends to break down because of adverse selection dominating executions in shorter intervals; and (3) the nature and strength of the cost-return link varies with liquidity, duration, and type of trading intervals. The distinct “signature” patterns behind price trajectories around child order executions vary systematically by spread capture and the algorithmic strategy in place. Multiresolution time frames, trading/nontrading interval taxonomy, and other methodological tools have practical implications for post-trade modeling and TCA.
TOPICS: Performance measurement, quantitative methods
Key Findings
• Significant price impact occurs in intervals without own trading.
• In contrast to traditional TCA at parent order level, no “identical twins” relation between slippage cost and signed returns is found in granular fixed duration (5 min) intervals.
• Although traditional “cost curve” heuristics are (mostly) alive and well, multiple timeframe analytics (full day, 30-min, 5-min, tick-level) and signature price profiles bring new insights into algorithmic trading behavior.
- © 2020 Pageant Media Ltd
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Alternatively, Call a member of the team to discuss membership options
US and Overseas: +1 646-931-9045
UK: 0207 139 1600