IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0249852.html
   My bibliography  Save this article

Nonlinear relationship between money market rate and stock market liquidity in China: A multifractal analysis

Author

Listed:
  • Yihong Sun
  • Xuemei Yuan

Abstract

This paper employs the multifractal detrended cross-correlation analysis (MF-DCCA) model to estimate the nonlinear relationship between the money market rate and stock market liquidity in China from a multifractal perspective, leading to a better understanding of the complexity in the relationship between the interest rate and stock market liquidity. The empirical results show that the cross-correlations between the money market rate and stock market liquidity present antipersistence in the long run and that they tend to be positively persistent in the short run. The negative cross-correlations between the interest rate and stock market liquidity are more significant than the positive cross-correlations. Furthermore, the cross-correlations between the money market rate and stock market liquidity display multifractal characteristics, explaining the variations in the relationship between the interest rate and stock market liquidity at different time scales. In addition, the lower degree of multifractality in the cross-correlations between the money market rate and stock market liquidity confirms that it is effective for the interest rate to control stock market liquidity. The Chinese stock market liquidity is more sensitive to fluctuations in the money market rate in the short term and is inelastic in response to the money market rate in the long term. In particular, the positive cross-correlations between the money market rate and stock market liquidity in the short run become strong in periods of crises and emergencies. All the evidence proves that the interest rate policy is an emergency response rather than an effective response to mounting concerns regarding the economic impact of unexpected exogenous emergencies and that the interest rate cut policy will not be as effective as expected.

Suggested Citation

  • Yihong Sun & Xuemei Yuan, 2021. "Nonlinear relationship between money market rate and stock market liquidity in China: A multifractal analysis," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-18, April.
    • Handle: RePEc:plo:pone00:0249852
    DOI: 10.1371/journal.pone.0249852
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249852
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249852&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0249852?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
    ---><---

    References listed on IDEAS

    as
    1. Herrenbrueck, Lucas, 2019. "Frictional asset markets and the liquidity channel of monetary policy," Journal of Economic Theory, Elsevier, vol. 181(C), pages 82-120.
    2. Varlik, Serdar & Berument, M. Hakan, 2017. "Multiple policy interest rates and economic performance in a multiple monetary-policy-tool environment," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 107-126.
    3. Jiang, Lei, 2014. "Stock liquidity and the Taylor rule," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 202-214.
    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. Athanasios Geromichalos & Lucas Herrenbrueck, 2022. "The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 134-167, July.
    2. Dladla, Pholile & Malikane, Christopher, 2019. "Stock return predictability: Evidence from a structural model," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 412-424.
    3. Gadi Barlevy, 2022. "On Speculative Frenzies and Stabilization Policy," Working Paper Series WP 2022-35, Federal Reserve Bank of Chicago.
    4. Lukas Altermatt, 2022. "Inside Money, Investment, And Unconventional Monetary Policy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1527-1560, November.
    5. Adão, Bernardino & Silva, André C., 2020. "The effect of firm cash holdings on monetary policy," European Economic Review, Elsevier, vol. 128(C).
    6. Lee, Sukjoon, 2020. "Liquidity Premium, Credit Costs, and Optimal Monetary Policy," MPRA Paper 104825, University Library of Munich, Germany.
    7. Lukas Altermatt & Kohei Iwasaki & Randall Wright, 2023. "General Equilibrium with Multiple Liquid Assets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 267-291, December.
    8. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
    9. Marieh Azizirad, 2022. "Fisher vs Keynes: Does an Interest Rate Hike Cause Inflation to Increase or Decrease?," Discussion Papers dp22-08, Department of Economics, Simon Fraser University.
    10. Dang, Van Dan & Dang, Van Cuong, 2020. "The conditioning role of performance on the bank risk-taking channel of monetary policy: Evidence from a multiple-tool regime," Research in International Business and Finance, Elsevier, vol. 54(C).
    11. Mahmut Çelik & Ayla Oğuş Binatlı, 2022. "How Effective Are Macroprudential Policy Instruments? Evidence from Turkey," Economies, MDPI, vol. 10(4), pages 1-17, March.
    12. Ding, Xiaoya (Sara) & Ni, Yang & Zhong, Ligang, 2016. "Free float and market liquidity around the world," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 236-257.
    13. Athanasios Geromichalos & Lucas Herrenbrueck & Sukjoon Lee, 2023. "The Strategic Determination of the Supply of Liquid Assets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 1-36, July.
    14. Geromichalos, Athanasios & Jung, Kuk Mo & Lee, Seungduck & Carlos, Dillon, 2021. "A model of endogenous direct and indirect asset liquidity," European Economic Review, Elsevier, vol. 132(C).
    15. Athanasios Geromichalos & Lucas Herrenbrueck & Sukjoon Lee, 2023. "The Strategic Determination of the Supply of Liquid Assets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 1-36, July.
    16. Wang, Zijian, 2020. "Liquidity and private information in asset markets: To signal or not to signal," Journal of Economic Theory, Elsevier, vol. 190(C).
    17. Umit Bulut, 2023. "Measuring the impacts of monetary policy in Turkey: an extended structural vector autoregressive model with structural breaks," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 117-132, February.
    18. Athanasios Geromichalos & Kuk Mo Jung & Seungduck Lee & Dillon Carlos, 2019. "Asset Liquidity in Monetary Theory and Finance: A Unified Approach," Working Papers 1905, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    19. Lucas Herrenbrueck, 2019. "Interest rates, moneyness, and the Fisher equation," 2019 Meeting Papers 1409, Society for Economic Dynamics.
    20. Lucas Herrenbrueck, Zijian Wang, 2023. "Interest Rates, Moneyness, and the Fisher Equation," Discussion Papers dp23-11, Department of Economics, Simon Fraser University.

    More about this item

    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:plo:pone00:0249852. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.