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The People's Bank of China's response to the coronavirus pandemic: A quantitative assessment

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  • Funke, Michael
  • Tsang, Andrew

Abstract

The People's Bank of China (PBoC) has taken numerous measures to cushion the impacts of the COVID-19 health crisis on the Chinese economy. As the current monetary policy framework features a multi-instrument mix of liquidity tools and pricing signals, we employ a dynamic-factor modeling approach to derive an indicator of China's monetary policy stance. Our approach assumes that comovements of several monetary policy instruments share a common element that can be captured by an underlying unobserved component. We use the derived indicator to trace the response of the PBoC to the coronavirus pandemic. The estimates reveal that the PBoC has implement novel policy measures to ensure that commercial banks maintain liquidity access and credit provision during the COVID-19 crisis.

Suggested Citation

  • Funke, Michael & Tsang, Andrew, 2020. "The People's Bank of China's response to the coronavirus pandemic: A quantitative assessment," BOFIT Discussion Papers 12/2020, Bank of Finland Institute for Emerging Economies (BOFIT).
    • Handle: RePEc:zbw:bofitp:bdp2020_012
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    Cited by:

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    2. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series 62, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    3. Teng, Bin & Wang, Sicong & Shi, Yufeng & Sun, Yunchuan & Wang, Wei & Hu, Wentao & Shi, Chaojun, 2022. "Economic recovery forecasts under impacts of COVID-19," Economic Modelling, Elsevier, vol. 110(C).
    4. Ftiti, Zied & Ben Ameur, Hachmi & Louhichi, Waël, 2021. "Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market," Economic Modelling, Elsevier, vol. 99(C).
    5. Donou-Adonsou, Ficawoyi, 2022. "The effects of health conditions on financial sector development," Economic Modelling, Elsevier, vol. 114(C).
    6. Li, Xiao-Lin & Xie, Pinyi & Ding, Hui & Si, Deng-Kui, 2023. "Central bank lending facility and investment efficiency of non-SOEs: evidence from China," Economic Modelling, Elsevier, vol. 126(C).

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    More about this item

    Keywords

    corona pandemic; COVID-19; China; monetary policy; dynamic factor model;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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