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Optimal versus realized bank credit risk and monetary policy

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  • Manthos D. Delis
  • Yiannis Karavias

Abstract

Standard banking theory suggests that there exists an optimal level of credit risk that yields maximum bank profit. We identify the optimal level of risk-weighted assets that maximizes banks’ returns in the full sample of US banks over the period 1996–2011. We find that this optimal level is cyclical, being higher than the realized credit risk in relatively stable periods with high profit opportunities for banks but quickly decreasing below the realized in periods of turmoil. We place this cyclicality into the nexus between bank risk and monetary policy. We show that a contractionary monetary policy in stable periods, where the optimal credit risk is higher than the realized credit risk, increases the gap between them. An increase in this gap also comes as a result of an expansionary monetary policy in bad economic periods, where the realized risk is higher than the optimal risk.

Suggested Citation

  • Manthos D. Delis & Yiannis Karavias, 2013. "Optimal versus realized bank credit risk and monetary policy," Discussion Papers 13/03, University of Nottingham, Granger Centre for Time Series Econometrics.
  • Handle: RePEc:not:notgts:13/03
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    Cited by:

    1. Manthos D. Delis & Iftekhar Hasan & Nikolaos Mylonidis, 2017. "The Risk‐Taking Channel of Monetary Policy in the U.S.: Evidence from Corporate Loan Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 187-213, February.
    2. Pengyu Chen & Yiannis Karavias & Elias Tzavalis, 2022. "Panel unit-root tests with structural breaks," Stata Journal, StataCorp LLC, vol. 22(3), pages 664-678, September.
    3. Mohamed Albaity & Mohammadmahdi Toobaee, 2017. "The Risk-sensitivity of Bank Capital Requirements: The Moderating Effects of Capital Regulation and Supervisory Power," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 94-102.
    4. Łukasz Kurowski & Paweł Smaga, 2018. "Monetary Policy and Cyclical Systemic Risk - Friends or Foes?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(5), pages 522-540.
    5. Agnieszka Gehringer & Thomas Mayer, 2019. "Understanding low interest rates: evidence from Japan, Euro Area, United States and United Kingdom," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 28-53, February.
    6. Pedersen, Michael, 2018. "Credit risk and monetary pass-through—Evidence from Chile," Journal of Financial Stability, Elsevier, vol. 36(C), pages 144-158.
    7. Michael Pedersen, 2016. "Pass-Through, Expectations, and Risks. What Affects Chilean Banks’ Interest Rates?," Working Papers Central Bank of Chile 780, Central Bank of Chile.
    8. Fernando da Silva Vinhado & José Angelo Divino, 2015. "Monetary and Macroprudential Policies: Empirical Evidences from Panel-VAR," Brazilian Review of Finance, Brazilian Society of Finance, vol. 13(4), pages 691-731.
    9. repec:prg:jnlpep:v:preprint:id:667:p:1-19 is not listed on IDEAS
    10. Neily, Oussama & Neily, Mohamed, 2022. "Liquidity and credit problems and the effect on the soundness of Tunisian groups (GDA )," MPRA Paper 114180, University Library of Munich, Germany.
    11. Agur, Itai & Demertzis, Maria, 2013. "“Leaning against the wind” and the timing of monetary policy," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 179-194.

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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G01 - Financial Economics - - General - - - Financial Crises

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