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

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

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.

Suggested Citation

  • Zhou, Wei & Zhong, Guang-Yan & Li, Jiang-Cheng, 2022. "Stability of financial market driven by information delay and liquidity in delay agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    • Handle: RePEc:eee:phsmap:v:600:y:2022:i:c:s0378437122003715
    DOI: 10.1016/j.physa.2022.127526
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    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Adrian Dragulescu & Victor Yakovenko, 2002. "Probability distribution of returns in the Heston model with stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 2(6), pages 443-453.
    3. Hassan, M. Kabir & Khan, Ashraf & Paltrinieri, Andrea, 2019. "Liquidity risk, credit risk and stability in Islamic and conventional banks," Research in International Business and Finance, Elsevier, vol. 48(C), pages 17-31.
    4. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    5. Shu-Heng Chen & Ragupathy Venkatachalam, 2017. "Agent-based modelling as a foundation for big data," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(4), pages 362-383, October.
    6. Ravi Varadhan & Christophe Roland, 2008. "Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(2), pages 335-353, June.
    7. T. T. Chen & B. Zheng & Y. Li & X. F. Jiang, 2017. "New approaches in agent-based modeling of complex financial systems," Papers 1703.06840, arXiv.org.
    8. Zhong, Guang-Yan & Li, Hai-Feng & Li, Jiang-Cheng & Mei, Dong-Cheng & Tang, Nian-Sheng & Long, Chao, 2019. "Coherence and anti-coherence resonance of corporation finance," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 376-385.
    9. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    10. Zhong, Guang-Yan & Li, Jiang-Cheng & Jiang, George J. & Li, Hai-Feng & Tao, Hui-Ming, 2018. "The time delay restraining the herd behavior with Bayesian approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 335-346.
    11. A. Verma & R. J. Buonocore & T. Di Matteo, 2019. "A cluster driven log-volatility factor model: a deepening on the source of the volatility clustering," Quantitative Finance, Taylor & Francis Journals, vol. 19(6), pages 981-996, June.
    12. Fang, Yuwen & Luo, Yuhui & Zeng, Chunhua, 2022. "Dichotomous noise-induced negative mass and mobility of inertial Brownian particle," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    13. Fiasconaro, A & Valenti, D & Spagnolo, B, 2003. "Role of the initial conditions on the enhancement of the escape time in static and fluctuating potentials," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(1), pages 136-143.
    14. Huang, Chengdai & Cai, Liming & Cao, Jinde, 2018. "Linear control for synchronization of a fractional-order time-delayed chaotic financial system," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 326-332.
    15. Valenti, Davide & Spagnolo, Bernardo & Bonanno, Giovanni, 2007. "Hitting time distributions in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 311-320.
    16. Mario A Bertella & Felipe R Pires & Ling Feng & Harry Eugene Stanley, 2014. "Confidence and the Stock Market: An Agent-Based Approach," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    17. Bernardo Spagnolo & Davide Valenti, 2008. "Volatility Effects on the Escape Time in Financial Market Models," Papers 0810.1625, arXiv.org.
    18. Li, Jiang-Cheng & Leng, Na & Zhong, Guang-Yan & Wei, Yu & Peng, Jia-Sheng, 2020. "Safe marginal time of crude oil price via escape problem of econophysics," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    19. G. Bonanno & D. Valenti & B. Spagnolo, 2005. "Role of Noise in a Market Model with Stochastic Volatility," Papers cond-mat/0510154, arXiv.org, revised Oct 2006.
    20. Hung, Jui-Cheng & Lee, Ming-Chih & Liu, Hung-Chun, 2008. "Estimation of value-at-risk for energy commodities via fat-tailed GARCH models," Energy Economics, Elsevier, vol. 30(3), pages 1173-1191, May.
    21. Zhou, Wei & Zhong, Guang-Yan & Leng, Na & Li, Jiang-Cheng & Xiong, De-Ping, 2019. "Dynamic behaviors and measurements of financial market crash rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    22. R. Scott Hacker & Abdulnasser Hatemi-J, 2005. "A test for multivariate ARCH effects," Applied Economics Letters, Taylor & Francis Journals, vol. 12(7), pages 411-417.
    23. Li, Jiang-Cheng & Tao, Chen & Li, Hai-Feng, 2022. "Dynamic forecasting performance and liquidity evaluation of financial market by Econophysics and Bayesian methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    24. G. Bonanno & D. Valenti & B. Spagnolo, 2006. "Role of noise in a market model with stochastic volatility," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 53(3), pages 405-409, October.
    25. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    26. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    27. Yujing Gong & Kung‐Cheng Ho & Chia‐Chun Lo & Andreas Karathanasopoulos & I‐Ming Jiang, 2019. "Forecasting price delay and future stock returns: The role of corporate social responsibility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 354-373, July.
    28. Jule Thober & Birgit Müller & Jürgen Groeneveld & Volker Grimm, 2017. "Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-8.
    29. Zhong, Guang-Yan & Li, Jiang-Cheng & Mei, Dong-Cheng & Tang, Nian-Sheng, 2019. "An approach for measuring corporation financial stability by Econophysics and Bayesian method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    30. Shuan Wang & Chunhua Zeng & Fengzao Yang & Kezhao Xiong & Baowen Li, 2021. "Energy diffusion of simple networks under the spatiotemporal thermostats," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(12), pages 1-8, December.
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