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Chinese Financial Conditions and their Spillovers to the Global Economy and Markets

Author

Listed:
  • Lawson, Jeremy
  • Watt, Abigail
  • Martinez, Carolina
  • Fu, Rong
Abstract
Assessing financial conditions in China is challenging given the wide range of conventional and unconventional policy tools the authorities wield to influence economic and market variables. We utilise principal component analysis to construct a new index that captures the most important policy and market dimensions of Chinese financial conditions over time. We then study the relationship between the index and key domestic and international economic variables, as well as asset prices, within a Bayesian VAR framework. We find evidence that exogenous shocks to Chinese financial conditions have strong spillover effects, particularly to global industrial activity, and emerging market bond spreads and equity prices. However, a variant of our model that allows for time-variation in the parameters implies that these spillover effects have been diminishing over time. When compared to the effects of US economic and financial conditions, our results suggest that Chinese economic shocks have weaker spillovers but financial shocks have stronger spillovers, particularly to emerging markets.

Suggested Citation

  • Lawson, Jeremy & Watt, Abigail & Martinez, Carolina & Fu, Rong, 2019. "Chinese Financial Conditions and their Spillovers to the Global Economy and Markets," CEPR Discussion Papers 14065, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:14065
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    References listed on IDEAS

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    Cited by:

    1. Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    2. Stolbov, Mikhail & Shchepeleva, Maria & Karminsky, Alexander, 2022. "When central bank research meets Google search: A sentiment index of global financial stress," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    3. Antonelli, Stefano & Corneli, Flavia & Ferriani, Fabrizio & Gazzani, Andrea, 2022. "Benchmark effects from the inclusion of Chinese A-shares in the MSCI EM index," Economics Letters, Elsevier, vol. 216(C).
    4. Belabed, Christian Alexander & Theobald, Thomas, 2020. "Why the Chinese recovery will slow: Some lessons from sectoral data," BOFIT Policy Briefs 8/2020, Bank of Finland Institute for Emerging Economies (BOFIT).

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    More about this item

    Keywords

    Chinese economy; Financial conditions; Bayesian vars; Impulse responses; Macroeconomic spillovers; Financial markets spillovers; Tvp-bayesian var; Variance decomposition;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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