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The Direction and Intensity of China’s Monetary Policy: A Dynamic Factor Modelling Approach

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  • Michael Funke
  • Andrew Tsang

Abstract

The recent update of the People’s Bank of China’s monetary policy framework establishes a corridor system of interest rates. We employ a dynamic factor modelling approach to derive an indicator of China’s monetary policy stance. The approach is based on the notion that co‐movements in several monetary policy instruments have a common element that can be captured by a single underlying, unobserved component. To clarify and interpret the derived index, we employ a baseline dynamic stochastic general equilibrium (DSGE) model that can be solved analytically and allows tracing of the expansionary and contractionary on‐and‐off phases of Chinese monetary policy.

Suggested Citation

  • Michael Funke & Andrew Tsang, 2021. "The Direction and Intensity of China’s Monetary Policy: A Dynamic Factor Modelling Approach," The Economic Record, The Economic Society of Australia, vol. 97(316), pages 100-122, March.
    • Handle: RePEc:bla:ecorec:v:97:y:2021:i:316:p:100-122
    DOI: 10.1111/1475-4932.12576
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    Cited by:

    1. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," MPRA Paper 110703, University Library of Munich, Germany.
    2. Funke, Michael & Li, Xiang & Zhong, Doudou, 2023. "Household indebtedness, financial frictions and the transmission of monetary policy to consumption: Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    3. Makram El-Shagi & Lunan Jiang, 2023. "How the PBoC´s new MLF affects the yield curve," CFDS Discussion Paper Series 2023/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    4. Makram El-Shagi & Yishuo Ma, 2021. "Nine blind men and the PBoC," CFDS Discussion Paper Series 2021/2, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.

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