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Variability in risk-weighted assets: what does the market think?

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Listed:
  • Edson Bastos e Santos
  • Neil Esho
  • Marc Farag
  • Christopher Zuin

Abstract

The global financial crisis highlighted a number of weaknesses in the regulatory framework, including concerns about excessive variability in banks' risk-weighted assets (RWAs) stemming from their use of internal models. The Basel III reforms that were finalised in 2017 by the Basel Committee on Banking Supervision seek to reduce this excessive RWA variability. This paper develops a novel approach to measuring RWA variability - the variability ratio - by comparing a market-implied measure of RWAs with banks' reported regulatory RWAs. Using a panel data set comprising a large sample of internationally-active banks over the period 2001 to 16, we find that there was a wide degree of RWA variability among banks, and that market-implied RWA estimates were persistently higher than regulatory RWAs. We then assess the determinants of this variability, and find a strong and statistically-significant association between our measure of RWA variability and (i) the share of opaque assets held by banks (eg derivatives); (ii) the degree to which a bank is capital constrained; and (iii) jurisdiction-specific factors. These results suggest that market participants may be applying an 'opaqueness' premium for banks that hold highly-complex instruments, and that the incentive for banks to game their internal models is particularly acute for capital-constrained banks. The results also point to the importance of jurisdiction-specific factors in explaining RWA variability. In addition, we find that RWA variability directly affects banks' own profitability through higher funding costs. Finally, we find that the 2017 Basel III reforms - most notably the output floor - help to reduce excessive RWA variability.

Suggested Citation

  • Edson Bastos e Santos & Neil Esho & Marc Farag & Christopher Zuin, 2020. "Variability in risk-weighted assets: what does the market think?," BIS Working Papers 844, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:844
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    References listed on IDEAS

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    Cited by:

    1. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Matarrese, Marco Maria, 2022. "The Determinants of Risk Weighted Asset in Europe," MPRA Paper 112924, University Library of Munich, Germany.
    2. Bruno, Brunella & Marino, Immacolata & Nocera, Giacomo, 2023. "Internal ratings and bank opacity: Evidence from analysts’ forecasts," Journal of Financial Intermediation, Elsevier, vol. 56(C).
    3. Michele Leonardo Bianchi & Alberto Maria Sorrentino, 2022. "Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net," Journal of Financial Services Research, Springer;Western Finance Association, vol. 62(1), pages 127-141, October.
    4. Chronopoulos, Dimitris K. & Wilson, John O.S. & Yilmaz, Muhammed H., 2023. "Regulatory oversight and bank risk," Journal of Financial Stability, Elsevier, vol. 64(C).
    5. Bui, Christina & Scheule, Harald & Wu, Eliza, 2020. "A cautionary tale of two extremes: The provision of government liquidity support in the banking sector," Journal of Financial Stability, Elsevier, vol. 51(C).
    6. Luu, Hiep Ngoc & Vo, Xuan Vinh, 2021. "The Impact of Supervisory Stress Tests on Bank Ex-Ante Risk-Taking Behaviour: Empirical Evidence from a Quasi-Natural Experiment," International Review of Financial Analysis, Elsevier, vol. 75(C).
    7. Andrés Alonso & José Manuel Carbó, 2021. "Understanding the performance of machine learning models to predict credit default: a novel approach for supervisory evaluation," Working Papers 2105, Banco de España.
    8. Alonso-Robisco, Andrés & Carbó, José Manuel, 2022. "Can machine learning models save capital for banks? Evidence from a Spanish credit portfolio," International Review of Financial Analysis, Elsevier, vol. 84(C).
    9. B. Bruno & I. Marino & G. Nocera, 2023. "Internal Ratings and Bank Opacity: Evidence from Analysts’ Forecasts," Post-Print hal-04322520, HAL.

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    More about this item

    Keywords

    bank regulation; capital; Basel III; risk-weighted assets; financial stability;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - 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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