Trading pattern synchronization in multi-asset market

This paper presents a market microstructure model to explain how traders’ strategic behavior interacts with asymmetric market closures in sequential auctions. The spikes in intraday trading volume and return volatility emerge simultaneously in all traded assets due to the accumulation of liquidity trading in that period because, for discretionary liquidity traders who can choose when to trade, it is less costly when (i) more assets are traded and (ii) the magnitude of liquidity trading in any asset is high. The U-shaped trading volume and return volatility, with increasing return correlation, suggest that liquidity traders primarily drive the intensified trading in the earlier period, while the latter is attributed to informed traders. Our findings align with the observed stylized facts in assets within the same market and across different markets, as reported in the literature.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-09-23
DOI
https://doi.org/10.1016/j.iref.2025.104613
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Trading pattern synchronization in multi-asset market

Chanho Yee
International Review of Economics & Finance
Complex Systems and Time Series Analysis
article

Trading pattern synchronization in multi-asset market

Chanho Yee
article en

Abstract

This paper presents a market microstructure model to explain how traders’ strategic behavior interacts with asymmetric market closures in sequential auctions. The spikes in intraday trading volume and return volatility emerge simultaneously in all traded assets due to the accumulation of liquidity trading in that period because, for discretionary liquidity traders who can choose when to trade, it is less costly when (i) more assets are traded and (ii) the magnitude of liquidity trading in any asset is high. The U-shaped trading volume and return volatility, with increasing return correlation, suggest that liquidity traders primarily drive the intensified trading in the earlier period, while the latter is attributed to informed traders. Our findings align with the observed stylized facts in assets within the same market and across different markets, as reported in the literature.

International Review of Economics & FinanceVol. 104
Openalex Percentile: Top 65%
Complex Systems and Time Series Analysis
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