Stability of financial market driven by information delay and liquidity in delay agent-based model

Wei Zhou, Guang-Yan Zhong and Jiang-Cheng Li

Physica A: Statistical Mechanics and its Applications, 2022, vol. 600, issue C

Abstract: In order to explore the impact of information delay and liquidity on the financial market, we propose a delay agent-based model from the perspective of micro evolution in financial market based on the methods of agent-based model and econophysics. Mean escape time and escape rate in econophysics is used to measure stock price stability. The empirical comparison with benchmark VaR and CVaR is carried out, and the results of stochastic simulation are in good agreement with those of empirical analysis. Combined with the real data of China’s stock market, the results of theoretical stochastic simulation and empirical analysis indicate that (1) An optimal information delay is associated with the strongest stability of financial market; (2) The increase of liquidity will weaken the stability of the financial market; (3) Both information delay and liquidity can induce the nonmonotonic behavior in mean escape time versus the intensity of the quantifies market noise and mean escape rate versus delay time. In other words, we can observe that information delay enhances system stability. In addition, the existence of the worst market noise greatly weakens the stability of the market itself.

Keywords: Econophysics; Stability; Delay agent-based model; Escape time; Escape rate; Information delay (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:600:y:2022:i:c:s0378437122003715

DOI: 10.1016/j.physa.2022.127526

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