IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v668y2025ics0378437125002535.html
   My bibliography  Save this article

On the modeling the impact of delay on stock pricing fluctuations using delay differential equations

Author

Listed:
  • Wang, Yaya
  • Dipesh,
  • Kumar, Pankaj
  • Baskonus, Haci Mehmet
  • Gao, Wei

Abstract

The fundamental principle behind stock market prices is based on the principles of supply and demand in economics. A sophisticated yet perceptive method of researching financial markets is to use delay differential equations to model how delays affect changes in stock prices. The degree of the demand-supply imbalance is closely correlated with the size of the price fluctuation. In this paper, the rate of change of stock price is studied in relation to difference in demand and supply of a stock price. The delay factor (τ) is introduced stock pricing. The stability analysis is performed and the conditions are established for asymptotic stability and Hopf-bifurcation for critical values of delay parameter. The analytical results are validated numerically.

Suggested Citation

  • Wang, Yaya & Dipesh, & Kumar, Pankaj & Baskonus, Haci Mehmet & Gao, Wei, 2025. "On the modeling the impact of delay on stock pricing fluctuations using delay differential equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 668(C).
  • Handle: RePEc:eee:phsmap:v:668:y:2025:i:c:s0378437125002535
    DOI: 10.1016/j.physa.2025.130601
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437125002535
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2025.130601?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Robert Balkin & Hector D. Ceniceros & Ruimeng Hu, 2023. "Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms," Papers 2307.06450, arXiv.org.
    2. Xavier Brusset & Morteza Davari & Aseem Kinra & Davide La Torre, 2023. "Modelling ripple effect propagation and global supply chain workforce productivity impacts in pandemic disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2493-2512, April.
    3. Zhou, Qi & Sun, Shaolong & Liu, Qian, 2019. "The capital flow of stock market studies based on epidemic model with double delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    4. Wang, Bing & Yin, Zhixiang, 2013. "Effects of colored noise and noise delay on a calcium oscillation system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4203-4209.
    5. Duan, Huiming & Liu, Yunmei & Wang, Guan, 2022. "A novel dynamic time-delay grey model of energy prices and its application in crude oil price forecasting," Energy, Elsevier, vol. 251(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Costin Radu Boldea & Bogdan Ion Boldea & Tiberiu Iancu, 2023. "The Pandemic Waves’ Impact on the Crude Oil Price and the Rise of Consumer Price Index: Case Study for Six European Countries," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    2. Liang Wang & Yuanfei Wang & Bixiao Li, 2023. "The influence of the social networks of fund managers on the herding behavior of SIFs in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    3. Liu, Xueyong & Jiang, Cheng, 2020. "The dynamic volatility transmission in the multiscale spillover network of the international stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    4. Khadija Echefaj & Abdelkabir Charkaoui & Anass Cherrafi & Dmitry Ivanov, 2024. "Design of resilient and viable sourcing strategies in intertwined circular supply networks," Annals of Operations Research, Springer, vol. 337(1), pages 459-498, June.
    5. An, Sufang & An, Feng & Gao, Xiangyun & Wang, Anjian, 2023. "Early warning of critical transitions in crude oil price," Energy, Elsevier, vol. 280(C).
    6. Xia, Lin & Ren, Youyang & Wang, Yuhong & Pan, Yangyang & Fu, Yiyang, 2024. "Forecasting China's renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model," Renewable Energy, Elsevier, vol. 233(C).
    7. Zhan, Sha-lei & Ignatius, Joshua & Ng, Chi To & Chen, Daqiang, 2025. "Supply chain network viability: Managing disruption risk via dynamic data and interaction models," Omega, Elsevier, vol. 134(C).
    8. Lyngdoh, Esha & Reenbohn, W.L., 2024. "Escape rate of a dimer under the influence of additive colored noise: Ornstein–Uhlenbeck process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    9. Liu, Longlong & Zhou, Suyu & Jie, Qian & Du, Pei & Xu, Yan & Wang, Jianzhou, 2024. "A robust time-varying weight combined model for crude oil price forecasting," Energy, Elsevier, vol. 299(C).
    10. Michał Dominik Stasiak & Żaneta Staszak, 2024. "Modelling and Forecasting Crude Oil Prices Using Trend Analysis in a Binary-Temporal Representation," Energies, MDPI, vol. 17(14), pages 1-13, July.
    11. Sabarathinam Srinivasan & Suresh Kumarasamy & Zacharias E. Andreadakis & Pedro G. Lind, 2023. "Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey," Energies, MDPI, vol. 16(14), pages 1-56, July.
    12. Lima, J.A. & Schimit, P.H.T., 2023. "A model for herd behaviour based on a spatial public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    13. do Nascimento, José Cláudio, 2021. "The personal wealth importance to the intertemporal choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    14. Liang, Xuedong & Luo, Peng & Li, Xiaoyan & Wang, Xia & Shu, Lingli, 2023. "Crude oil price prediction using deep reinforcement learning," Resources Policy, Elsevier, vol. 81(C).
    15. Zhou, Huimin & Dang, Yaoguo & Yang, Yingjie & Wang, Junjie & Yang, Shaowen, 2023. "An optimized nonlinear time-varying grey Bernoulli model and its application in forecasting the stock and sales of electric vehicles," Energy, Elsevier, vol. 263(PC).
    16. Chendur Kumaran, R. & Venkatesh, T.G. & Swarup, K.S., 2022. "Stochastic delay differential equations: Analysis and simulation studies," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    17. Lan, Yun & Fang, Wen, 2024. "Mechanisms of investors’ bounded rationality and market herding effect by the stochastic Ising financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:668:y:2025:i:c:s0378437125002535. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.