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The response of asset prices to monetary policy shocks: stronger than thought

Author

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  • Alessi, Lucia
  • Kerssenfischer, Mark
Abstract
Mainstream macroeconomic theory predicts a rapid response of asset prices to monetary policy shocks, which conventional empirical models are unable to reproduce. We argue that this is due to a deficient information set: Forward-looking economic agents observe vastly more information than the handful of variables included in standard VAR models. Thus, small-scale VARs are likely to suffer from nonfundamentalness and yield biased results. We tackle this problem by estimating a Structural Factor Model for a large euro area dataset. We find quicker and larger effects of monetary policy shocks, consistent with mainstream theory and the observed large swings in asset prices. Our results point to stronger financial stability consequences of an exogenous monetary policy tightening, also in the form of a quicker than expected unwinding of QE, than commonly thought. JEL Classification: C32, E43, E44, E52

Suggested Citation

  • Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20161967
    Note: 1023254
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    11. Jonas Meier, 2020. "Multivariate Distribution Regression," Diskussionsschriften dp2023, Universitaet Bern, Departement Volkswirtschaft.
    12. Amat Adarov, 2017. "Financial Cycles in Credit, Housing and Capital Markets: Evidence from Systemic Economies," wiiw Working Papers 140, The Vienna Institute for International Economic Studies, wiiw.
    13. Lake, A., 2020. "Behavioural Finance at Home: Testing Deviations of House Prices from their Fundamental Values," Cambridge Working Papers in Economics 20104, Faculty of Economics, University of Cambridge.
    14. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
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    17. Akkaya, Yıldız & Bitter, Lea & Brand, Claus & Fonseca, Luís, 2024. "A statistical approach to identifying ECB monetary policy," Working Paper Series 2994, European Central Bank.
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    19. Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
    20. Helmut Herwartz & Simone Maxand & Hannes Rohloff, 2022. "The Link between Monetary Policy, Stock Prices, and House Prices—Evidence from a Statistical Identification Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 18(5), pages 1-53, December.
    21. Helmut Lütkepohl & Aleksei Netšunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Econometrics, MDPI, vol. 6(3), pages 1-14, August.
    22. Mirela S. Miescu & Haroon Mumtaz, 2019. "Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy," Working Papers 894, Queen Mary University of London, School of Economics and Finance.
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    More about this item

    Keywords

    Asset Prices; monetary policy; Nonfundamentalness.; Structural Factor Models;
    All these keywords.

    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
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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