Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach
James Paulin, Anisoara Calinescu, Michael Wooldridge

TL;DR
This paper develops a hybrid agent-based model to analyze flash crash contagion, revealing how algorithmic trader behavior, leverage, and network structure influence systemic risk and contagion speed, with implications for regulatory timing.
Contribution
It introduces a novel hybrid micro-macro agent-based model that captures endogenous price impact and systemic risk propagation in flash crashes, highlighting non-monotonic effects of portfolio crowding.
Findings
Contagion speed varies non-monotonically with portfolio diversification.
Increased portfolio crowding can sometimes enhance systemic stability.
Early regulatory intervention may be more effective than reactive measures.
Abstract
The purpose of this paper is to advance the understanding of the conditions that give rise to flash crash contagion, particularly with respect to overlapping asset portfolio crowding. To this end, we designed, implemented, and assessed a hybrid micro-macro agent-based model, where price impact arises endogenously through the limit order placement activity of algorithmic traders. Our novel hybrid microscopic and macroscopic model allows us to quantify systemic risk not just in terms of system stability, but also in terms of the speed of financial distress propagation over intraday timescales. We find that systemic risk is strongly dependent on the behaviour of algorithmic traders, on leverage management practices, and on network topology. Our results demonstrate that, for high-crowding regimes, contagion speed is a non-monotone function of portfolio diversification. We also find the…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Markets and Investment Strategies · Banking stability, regulation, efficiency
