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Identifying structural shocks behind loan supply fluctuations in Russia

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  • Deryugina, Elena B.
  • Ponomarenko, Alexey A.

Abstract

We examine the drivers behind loan supply fluctuations in Russia using Bayesian vector autoregressive model with sign restrictions on impulse response functions. We identify two types of structural innovations: loan supply shock and monetary stance shock. We find that contractionary shocks of both types contributed significantly and in the roughly equal measure to the decrease of bank lending after the Lehman Brothers collapse.

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  • Deryugina, Elena B. & Ponomarenko, Alexey A., 2011. "Identifying structural shocks behind loan supply fluctuations in Russia," BOFIT Discussion Papers 20/2011, Bank of Finland, Institute for Economies in Transition.
    • Handle: RePEc:bof:bofitp:2011_020
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    2. Brissimis, Sophocles N. & Delis, Manthos D., 2009. "Identification of a loan supply function: A cross-country test for the existence of a bank lending channel," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 321-335, April.
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    Cited by:

    1. 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.
    2. Борзых Ольга Алексеевна, 2016. "«Антиэффект» Ликвидности В Российской Банковской Системе," 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(3), pages 377-414.
    3. Borzykh, Olga, 2016. "Bank lending channel in Russia: A TVP-FAVAR approach," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 43, pages 96-117.

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