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Network characteristics and stock liquidity:Evidence from the UK

Author

Listed:
  • Yang, Xin
  • Jin, Cheng
  • Huang, Chuangxia
  • Yang, Xiaoguang

Abstract

This article examines the effect of the Engle-Granger (E-G) price spillover network characteristics on firm's stock liquidity with a longitudinal dataset of FTSE 350 from 2006 to 2021. We find that the subprime crisis, European debt sovereign crisis, British Brexit and COVID-19 caused dramatic network structure change. We also find that firms with higher centrality are likely to suffer from more or greater price shocks leading to lower stock liquidity. Finally, the robust of our results has also been identified, and a general framework for network characteristics and stock liquidity has been established to some extent.

Suggested Citation

  • Yang, Xin & Jin, Cheng & Huang, Chuangxia & Yang, Xiaoguang, 2023. "Network characteristics and stock liquidity:Evidence from the UK," Finance Research Letters, Elsevier, vol. 53(C).
    • Handle: RePEc:eee:finlet:v:53:y:2023:i:c:s1544612322008017
    DOI: 10.1016/j.frl.2022.103625
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    References listed on IDEAS

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    1. Cao, Jie & Wen, Fenghua & Stanley, H. Eugene & Wang, Xiong, 2021. "Multilayer financial networks and systemic importance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. Searat Ali & Benjamin Liu & Jen Je Su, 2016. "What determines stock liquidity in Australia?," Applied Economics, Taylor & Francis Journals, vol. 48(35), pages 3329-3344, July.
    3. Chinazzi, Matteo & Fagiolo, Giorgio & Reyes, Javier A. & Schiavo, Stefano, 2013. "Post-mortem examination of the international financial network," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1692-1713.
    4. Mr. Tonny Lybek & Mr. Abdourahmane Sarr, 2002. "Measuring Liquidity in Financial Markets," IMF Working Papers 2002/232, International Monetary Fund.
    5. Ma, Feng & Guo, Yangli & Chevallier, Julien & Huang, Dengshi, 2022. "Macroeconomic attention, economic policy uncertainty, and stock volatility predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
    6. Huang, Chuangxia & Wen, Shigang & Li, Mengge & Wen, Fenghua & Yang, Xin, 2021. "An empirical evaluation of the influential nodes for stock market network: Chinese A-shares case," Finance Research Letters, Elsevier, vol. 38(C).
    7. 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.
    8. Foley, Sean & Kwan, Amy & Philip, Richard & Ødegaard, Bernt Arne, 2022. "Contagious margin calls: How COVID-19 threatened global stock market liquidity," Journal of Financial Markets, Elsevier, vol. 59(PA).
    9. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.
    10. Farshid Abdi & Angelo Ranaldo, 2017. "A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices," The Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4437-4480.
    11. Huang, Chuangxia & Deng, Yunke & Yang, Xiaoguang & Cao, Jinde & Yang, Xin, 2021. "A network perspective of comovement and structural change: Evidence from the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 76(C).
    12. Jie Cao & Fenghua Wen & H. Eugene Stanley, 2022. "Measuring the systemic risk in indirect financial networks," The European Journal of Finance, Taylor & Francis Journals, vol. 28(11), pages 1053-1098, July.
    13. Shen, Pu & Starr, Ross M., 2002. "Market-makers' supply and pricing of financial market liquidity," Economics Letters, Elsevier, vol. 76(1), pages 53-58, June.
    14. Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    15. Ardekani, Aref Mahdavi & Distinguin, Isabelle & Tarazi, Amine, 2020. "Do banks change their liquidity ratios based on network characteristics?," European Journal of Operational Research, Elsevier, vol. 285(2), pages 789-803.
    16. Jared F. Egginton & William R. McCumber, 2019. "Executive Network Centrality and Stock Liquidity," Financial Management, Financial Management Association International, vol. 48(3), pages 849-871, September.
    17. Tu, Chengyi, 2014. "Cointegration-based financial networks study in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 245-254.
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