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Asset prices, credit and the Russian economy

Author

Listed:
  • Haroon Mumtaz
  • Alexandra Solovyeva
  • Elena Vasilieva
Abstract
We examine the importance of macroeconomic effects of changes in asset prices and credit aggregates for the Russian economy. We show that the amplitude of the fluctuations of asset prices and lending was exceptionally large in 2006-2009. This implies that the asset price and the lending channel may be significant for Russia. We estimate a Bayesian VAR model with steady state priors and sign restrictions on impulse response functions. Our results suggest that an asset price bust and a credit squeeze have accentuated the impact of financial crisis on the real economy.Â

Suggested Citation

  • Haroon Mumtaz & Alexandra Solovyeva & Elena Vasilieva, 2012. "Asset prices, credit and the Russian economy," Joint Research Papers 1, Centre for Central Banking Studies, Bank of England.
    • Handle: RePEc:ccb:jrpapr:1
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    References listed on IDEAS

    as
    1. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    2. Roland Beck & Annette Kamps & Elitza Mileva, 2007. "Long-term growth prospects for the Russian economy," Occasional Paper Series 58, European Central Bank.
    3. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2010. "Forecasting Government Bond Yields with Large Bayesian VARs," Working Papers 662, Queen Mary University of London, School of Economics and Finance.
    4. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, December.
    5. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    6. Olivier Blanchard & Changyong Rhee & Lawrence Summers, 1993. "The Stock Market, Profit, and Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 115-136.
    7. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
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    Cited by:

    1. Демешев Борис Борисович & Малаховская Оксана Анатольевна, 2016. "Макроэкономическое Прогнозирование С Помощью Bvar Литтермана," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 691-710.
    2. Rilind Kabashi & Katerina Suleva, 2016. "Loan Supply Shocks in Macedonia: A Bayesian SVAR Approach with Sign Restrictions," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 18(1), pages 5-33, June.
    3. Ponomarenko, Alexey, 2013. "Early warning indicators of asset price boom/bust cycles in emerging markets," Emerging Markets Review, Elsevier, vol. 15(C), pages 92-106.
    4. Ponomarenko, Alexey, 2013. "Early warning indicators of asset price boom/bust cycles in emerging markets," Emerging Markets Review, Elsevier, vol. 15(C), pages 92-106.
    5. Lomivorotov, Rodion, 2015. "Bayesian estimation of monetary policy in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 41-63.
    6. repec:zbw:bofitp:2012_022 is not listed on IDEAS
    7. Elena Deryugina & Alexey Ponomarenko, 2017. "Money-based underlying inflation measure for Russia: a structural dynamic factor model approach," Empirical Economics, Springer, vol. 53(2), pages 441-457, September.

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