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Brazil: Financial System Stability Assessment

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  • International Monetary Fund

Abstract

Since the Brazil 2012 FSAP, the financial system has been stable despite the deep recession. The resiliency of the banking system was supported by high profitability, buoyed by large interest margins. While the financial system has grown since the 2012 FSAP, its structure remains largely unchanged. The system is dominated by large, vertically-integrated financial conglomerates and concentrated in liquid short-term instruments. The public sector continues to play a dominant role in the financial sector, and its interconnectedness. Banks are broadly resilient to severe macrofinancial shocks. Current high profits and capital ratios support the resiliency of banks under a severe stress test scenario. Under the stress scenario, small capital shortfalls result; banks would nevertheless experience reduced income, including from market loss on government bonds, and high credit losses on exposures to the corporate sector which, despite recent improvement, is still vulnerable to shocks. This benign outcome deteriorates if their capital is adjusted for deferred tax assets. Moreover, some banks are exposed to concentration risk. Some actions are still needed to address bank-specific risk profiles to boost their resilience. Banks are generally well-positioned to manage short-term and medium-term liquidity pressures and interbank contagion seems limited.

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  • International Monetary Fund, 2018. "Brazil: Financial System Stability Assessment," IMF Staff Country Reports 2018/339, International Monetary Fund.
  • Handle: RePEc:imf:imfscr:2018/339
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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    3. Marco A. Espinosa‐Vega & Juan Solé, 2011. "Cross‐border financial surveillance: a network perspective," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 3(3), pages 182-205, August.
    4. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306, Decembrie.
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    Cited by:

    1. Moyo, Clement & Khobai, Hlalefang & Kolisi, Nwabisa & Mbeki, Zizipho, 2018. "Financial development and economic growth in Brazil: A Non-linear ARDL approach," MPRA Paper 85252, University Library of Munich, Germany.
    2. Oğuzhan ŞENGÜL, 2021. "Does exchange rate volatility affect financial depth? Evidence from BRICS countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(626), S), pages 247-258, Spring.

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