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Inflation Targeting and Financial Stability: does the quality of institutions matter?

Author

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  • Dimas Mateus Fazio
  • Thiago Christiano Silva
  • Benjamin Miranda Tabak
  • Daniel Oliveira Cajueiro

Abstract

Inflation targeting (IT) has recently been seen as one of the main causes of the authorities' unresponsiveness to the build up of financial imbalances during the recent financial crisis. We take data from banks from 66 countries for the period of 1998-2014 and compare how institutional quality as perceived by the national population impacts financial stability in countries that adopted IT with those that did not. We find that, while banks from IT countries with high quality of institutions do not have their stability significantly enhanced by this policy (the ``paradox of credibility''), countries with average levels of quality of institutions seem to benefit from it. In addition, in the estimations, IT and financial stability are negatively associated in countries with low levels of institutional quality, which is consistent with the fact that governments must have at least some trust of their population in order to conduct effective economic policies. This inverted U-shaped relationship between IT and financial stability as function of the institutional quality reflects the two opposing views in the literature regarding this topic

Suggested Citation

  • Dimas Mateus Fazio & Thiago Christiano Silva & Benjamin Miranda Tabak & Daniel Oliveira Cajueiro, 2018. "Inflation Targeting and Financial Stability: does the quality of institutions matter?," Working Papers Series 470, Central Bank of Brazil, Research Department.
  • Handle: RePEc:bcb:wpaper:470
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    References listed on IDEAS

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    Cited by:

    1. Agoraki, Maria-Eleni K. & Kouretas, Georgios P. & Triantopoulos, Christos, 2020. "Democracy, regulation and competition in emerging banking systems," Economic Modelling, Elsevier, vol. 84(C), pages 190-202.
    2. Silva, Thiago Christiano & Coelho, Florângela Cunha & Ehrl, Philipp & Tabak, Benjamin Miranda, 2020. "Internet access in recessionary periods: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    3. Cavallaro, Eleonora & Cutrini, Eleonora, 2019. "Distance and beyond: What drives financial flows to emerging economies?," Economic Modelling, Elsevier, vol. 81(C), pages 533-550.
    4. Mi Young Lee & Bay Vo & Sung Wook Baik & Minh Thanh Vo & Tuong Le, 2019. "A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction," Complexity, Hindawi, vol. 2019, pages 1-12, August.
    5. Svitlana V. Onyshchuk & Igor I. Onyshchuk & Olha Petroye & Roman Chernysh, 2020. "Financial Stability and its Impact on National Security State: Organizational and Legal Aspects," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 353-365.
    6. Ngambou Djatche, Melchisédek Joslem, 2019. "Re-exploring the nexus between monetary policy and banks' risk-taking," Economic Modelling, Elsevier, vol. 82(C), pages 294-307.
    7. Garriga, Ana Carolina & Rodriguez, Cesar M., 2020. "More effective than we thought: Central bank independence and inflation in developing countries," Economic Modelling, Elsevier, vol. 85(C), pages 87-105.

    More about this item

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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