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The Determinants of Risk Weighted Asset in Europe

Author

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  • Leogrande, Angelo
  • Costantiello, Alberto
  • Laureti, Lucio
  • Matarrese, Marco Maria

Abstract

We have estimated the level of Risk Weighted Assets among 30 countries in Europe, in 30 trimesters, using data of the European Banking Authority-EBA of 139 variables. We perform an econometric model using Pooled OLS, Panel Data with Fixed Effects, Panel Data with Random Effects, Weighted Least Squares. We found that Risk Weighted Assets is negatively associated, among others, to the level of NFC loans in mining and quarrying, in public administration and defence, and in financial and insurance activities and positively associated, among others to distribution of NFC loans in human health services and social work activities, in education and the level of net fee and commission income. Furthermore, we apply a cluster analysis with the k-Means algorithm, and we find the presence of two clusters. A comparison was then made between eight different machine learning algorithms for predicting the value of the RWAs and we found that the best predictor is the linear regression. The RWA value is predicted to increase by 1.5%.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:112924
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    References listed on IDEAS

    as
    1. Hishamuddin Abdul Wahab & Buerhan Saiti & Saiful Azhar Rosly & Abul Mansur Mohammed Masih, 2017. "Risk-Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia Using Dynamic OLS and Two-Step Dynamic System GMM Estimators," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(1), pages 180-198, January.
    2. 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.
    3. Nguyen, Van Phuong, 2019. "An attempt to derive the Risk Weight Function for the bank," MPRA Paper 100631, University Library of Munich, Germany.
    4. Juelsrud, Ragnar E. & Wold, Ella Getz, 2020. "Risk-weighted capital requirements and portfolio rebalancing," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    5. Ferri, Giovanni & Pesic, Valerio, 2017. "Bank regulatory arbitrage via risk weighted assets dispersion," Journal of Financial Stability, Elsevier, vol. 33(C), pages 331-345.
    6. Victoria Böhnke & Steven Ongena & Florentina Paraschiv & Endre J Reite, 2022. "Back to the Roots of Internal Credit Risk Models: Why Do Banks’ Risk-Weighted Asset Levels Converge over Time?," Swiss Finance Institute Research Paper Series 22-33, Swiss Finance Institute.
    7. Lorenzo Esposito & Giuseppe Mastromatteo & Andrea Molocchi, 2019. "Environment – risk-weighted assets: allowing banking supervision and green economy to meet for good," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 9(1), pages 68-86, January.
    8. Khan, Muhammad Saifuddin & Scheule, Harald & Wu, Eliza, 2017. "Funding liquidity and bank risk taking," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 203-216.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Financial Institutions and Services; General; Banks; Depository Institutions; Micro Finance Institutions; Mortgages; Investment Banking; Government Policy; and Regulation;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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