Cybersecurity risks and stock liquidity

Qin Zhang & Jin Boon Wong

International Journal of Managerial Finance2025https://doi.org/10.1108/ijmf-05-2024-0253article
AJG 2ABDC A
Weight
0.37

Abstract

Purpose This paper investigates the impact of ex-ante cybersecurity risks on stock market liquidity at the firm level. Design/methodology/approach Using a US sample of 10,719 firm-year observations from 2007 to 2018, we employ fixed effects regressions, an innovative ex-ante cybersecurity risks measure and control for various market microstructure and firm-specific characteristics to examine the research question. To address endogeneity concerns, a two-stage least squares regression analysis with instrument variables and a propensity-matched sample is utilized to validate the findings. Findings Our results show that ex-ante cybersecurity risks reduce stock liquidity in the form of higher bid-ask spreads and lower trading turnover. The findings are economically significant and accentuate the importance of cybersecurity risks to stakeholders, as a 1-standard deviation rise in cyber risks can increase bid-ask spreads by 15.55–31.20% and reduce trading turnover by 2.97%. Originality/value We provide empirical evidence on the important differences between the instrument choice of ex-ante versus ex-post cybersecurity risks for market microstructure studies. Prior research suggests ex-post cybersecurity breaches lead to lower bid-ask spreads and increased trading volumes. These findings are counterintuitive. Our study contributes a missing piece to this puzzle by showing that increases in ex-ante cybersecurity risks lead to wider bid-ask spreads and lower trading turnover, possibly due to heightened information asymmetry. Furthermore, we show that during periods of elevated market uncertainty, these cyber-risk effects may be “overlooked” as market participants may be preoccupied with greater concerns at the macroeconomic level.

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https://doi.org/https://doi.org/10.1108/ijmf-05-2024-0253

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@article{qin2025,
  title        = {{Cybersecurity risks and stock liquidity}},
  author       = {Qin Zhang & Jin Boon Wong},
  journal      = {International Journal of Managerial Finance},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/ijmf-05-2024-0253},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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