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Liquidity Shocks and Real GDP Growth: Evidence from a Bayesian Time-varying Parameter VAR

Author

Listed:
  • Michael Ellington

    (Management School, University of Liverpool, UK)

  • Chris Florackis

    (Management School, University of Liverpool, UK)

  • Costas Milas

    (Management School, University of Liverpool, UK; The Rimini Centre for Economic Analysis, Italy)

Abstract

We examine the dynamic impact of liquidity shocks resonating in stock and housing markets on real GDP growth. We fit a Bayesian time-varying parameter VAR model with stochastic volatility to US data from 1970 to 2014. GDP becomes highly sensitive to house market liquidity shocks as disruptions in the sector start to emerge, yet more resilient to stock market liquidity shocks throughout time. We provide substantial evidence in favour of asymmetric responses of GDP growth both across the business cycle, and among business cycle troughs. Stock and house market liquidity shocks explain, on average, 17% and 35% of the variation in GDP during the Great Recession, respectively.

Suggested Citation

  • Michael Ellington & Chris Florackis & Costas Milas, 2016. "Liquidity Shocks and Real GDP Growth: Evidence from a Bayesian Time-varying Parameter VAR," Working Paper series 16-28, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:16-28
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    Cited by:

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    6. Ellington, Michael & Fu, Xi & Zhu, Yunyi, 2023. "Real estate illiquidity and returns: A time-varying regional perspective," International Journal of Forecasting, Elsevier, vol. 39(1), pages 58-72.
    7. Anastasiou, Dimitris & Ftiti, Zied & Louhichi, Waël & Tsouknidis, Dimitris, 2023. "Household deposits and consumer sentiment expectations: Evidence from Eurozone," Journal of International Money and Finance, Elsevier, vol. 131(C).
    8. Chia‐Yi Yen & Yu‐Hsi Chou, 2020. "Understanding The Macroeconomic Impact Of Illiquidity Shocks In The United States," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1245-1278, July.
    9. Legrand, Romain, 2018. "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper 88925, University Library of Munich, Germany.

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    More about this item

    Keywords

    Stock Market Liquidity; House Market Liquidity; Liquidity Shocks; Time-varying Parameter VAR;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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