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To SVAR or to SVEC? On the transmission of capital buffer shocks to the real economy

Author

Listed:
  • Piotr Dybka

    (EY Poland
    Warsaw School of Economics, Collegium of Economic Analyses)

  • Bartosz Olesiński

    (EY Poland)

  • Piotr Pękała

    (EY Poland)

  • Andrzej Torój

    (EY Poland
    Warsaw School of Economics, Collegium of Economic Analyses, Institute of Econometrics)

Abstract

Shocks to banks’ capital buffer can impact the real economy via a number of channels. We investigate the transmission of aggregate capital buffer shocks to loans, prices and economic activity in Poland over the period 2002−2015 using multivariate time series techniques. Impulse-response functions from both SVAR and SVEC models indicate an increase in GDP and loan levels in the aftermath of a positive capital buffer shock. Although previous literature predominantly focuses on SVAR analyses, only the SVEC-based simulation yields economically reliable long-run estimates of the impact. Our long-run relationships indicate that capital policy may have a lasting impact on the real variables, unlike monetary policy.

Suggested Citation

  • Piotr Dybka & Bartosz Olesiński & Piotr Pękała & Andrzej Torój, 2017. "To SVAR or to SVEC? On the transmission of capital buffer shocks to the real economy," Bank i Kredyt, Narodowy Bank Polski, vol. 48(2), pages 119-148.
  • Handle: RePEc:nbp:nbpbik:v:48:y:2017:i:2:p:119-148
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    References listed on IDEAS

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    Cited by:

    1. Mariusz Kapuściński, 2022. "The short-term effects of changes in capital regulations in Poland," NBP Working Papers 350, Narodowy Bank Polski.
    2. Anna Gomola, 2022. "What simple econometric analysis will tell us about the relationship between macroeconomic variables, stock market indices, and the activity of the banking sector?," Bank i Kredyt, Narodowy Bank Polski, vol. 53(1), pages 1-46.

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    More about this item

    Keywords

    bank capital buffers; shocks to capital ratio; impulse-response; SVAR; SVEC;
    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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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