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Does Disaster Risk Relate to Banks’ Loan Loss Provision Estimates?

Author

Listed:
  • Lorenzo Dal Maso

    (University of Bologna)

  • Kiridaran Kanagaretnam

    (Schulich School of Business)

  • Gerald Lobo

    (University of Houston)

  • Francesco Mazzi

    (University of Florence)

Abstract

We examine the relation between disaster risk and banks’ loan loss provision (LLP) estimates. We propose a disaster risk measure based on the natural disasters declared as major disasters by the Federal Emergency Management Agency over the past fifteen years. We theoretically support and empirically validate our measure using three different approaches, including the UN Sendai Framework for disaster risk reduction, which relates disaster risk to natural hazard exposure, vulnerability and capacity, and hazard characteristics. Using more than 445,000 bank-quarter observations, we document that banks located in counties with higher disaster risk recognize larger LLP after controlling for other bank-level factors related to LLP estimates. We employ several techniques to ensure the robustness of our findings, including difference-in-differences estimation and matched samples. In additional analysis, we propose three alternative measures of disaster risk, explore the characteristics that better enable banks to recognize disaster risk in their LLP estimates, and investigate the consequences of managing disaster risk through LLP. Our results are important, especially because of the increasing concern about disaster risk and because they inform the growing debate on the economic consequences of disaster risk and the ability of the banking system to proactively manage the resulting credit risk through LLPs.

Suggested Citation

  • Lorenzo Dal Maso & Kiridaran Kanagaretnam & Gerald Lobo & Francesco Mazzi, 2022. "Does Disaster Risk Relate to Banks’ Loan Loss Provision Estimates?," Working Papers - Business wp2022_05.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  • Handle: RePEc:frz:wpmmos:wp2022_05.rdf
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    References listed on IDEAS

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    1. Jeff L. McMullin & Bryce Schonberger, 2020. "Entropy-balanced accruals," Review of Accounting Studies, Springer, vol. 25(1), pages 84-119, March.
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    Cited by:

    1. Thomas Bassetti & Lorenzo Dal Maso & Valentina Pieroni, 2025. "Firms’ borrowing costs and neighbors’ flood risk," Small Business Economics, Springer, vol. 64(3), pages 917-933, March.
    2. Adhikari, Hari P. & More, Deepak G. & Sah, Nilesh B., 2025. "Climate change exposure and short-termism: Evidence from net trade credit," International Review of Financial Analysis, Elsevier, vol. 103(C).
    3. Yonghui Lian & Jie Li & Feng He, 2025. "How Does Climate Policy Uncertainty Affect Banks Loan Loss Provisions?—Evidence From China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(5), pages 3039-3066, July.

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    Keywords

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    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other

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