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The transmission of liquidity shocks via China's segmented money market: evidence from recent market events

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  • Ruoxi Lu
  • David A. Bessler
  • David J. Leatham

Abstract

This is the first study to explore the transmission paths for liquidity shocks in China's segmented money market. We examine how money market transactions create such pathways between China's closely-guarded banking sector and the rest of its financial system, and empirically capture the transmission of liquidity shocks through these pathways during two recent market events. We find strong indications that money market transactions allow liquidity shocks to circumvent certain regulatory restrictions and financial market segmentation in China. Our findings suggest that a widespread illiquidity contagion facilitated by money market transactions can happen in China and new policy measures are needed to prevent such contagion.

Suggested Citation

  • Ruoxi Lu & David A. Bessler & David J. Leatham, 2018. "The transmission of liquidity shocks via China's segmented money market: evidence from recent market events," Papers 1811.08949, arXiv.org.
  • Handle: RePEc:arx:papers:1811.08949
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    Cited by:

    1. Elsayed, Ahmed H. & Ahmed, Habib & Husam Helmi, Mohamad, 2023. "Determinants of financial stability and risk transmission in dual financial system: Evidence from the COVID pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    2. Cai, Yu & Wang, Qing, 2022. "Money funds manage returns," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    3. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    4. O'Donnell, Niall & Shannon, Darren & Sheehan, Barry, 2023. "A vaccine for volatility? An empirical analysis of global stock markets and the impact of the COVID-19 vaccine," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G2 - Financial Economics - - Financial Institutions and Services

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