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Determinants Of Financial Distress In Large Financial Institutions: Evidence From U.S. Bank Holding Companies

Author

Listed:
  • Zhichao Zhang
  • Li Xie
  • Xiangyun Lu
  • Zhuang Zhang

Abstract

type="main" xml:id="coep12105-abs-0001"> We investigate determinants of financial distress in large financial institutions based on the Distance-to-Default and Z-Scores measures. Using data of U.S. bank holding companies (BHCs), we find that the housing price index is a consistently significant factor across all BHCs and the non-performing loan ratio is the most powerful indicator for financial distress. Short-term wholesale funding is also a reliable default risk indicator. We additionally find that all the three regulatory capital requirements are very important for controlling default risk, particularly in the post-crisis period. (JEL C53, G14, G21, G28)

Suggested Citation

  • Zhichao Zhang & Li Xie & Xiangyun Lu & Zhuang Zhang, 2016. "Determinants Of Financial Distress In Large Financial Institutions: Evidence From U.S. Bank Holding Companies," Contemporary Economic Policy, Western Economic Association International, vol. 34(2), pages 250-267, April.
    • Handle: RePEc:bla:coecpo:v:34:y:2016:i:2:p:250-267
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    File URL: http://hdl.handle.net/10.1111/coep.2016.34.issue-2
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    Cited by:

    1. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019. "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, vol. 39(C), pages 44-57.
    2. Ibrahim, Mansor H. & Rizvi, Syed Aun R., 2017. "Do we need bigger Islamic banks? An assessment of bank stability," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 77-91.
    3. Kanitsorn Terdpaopong & Robert C. Rickards & Penprapak Manapreechadeelert, 2020. "The 2011 floods’ impact on the Thai industrial estates’ financial stability: a ratio analysis with policy recommendations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 1991-2014, March.
    4. Ahmed Rufai Mohammad & Mohamad Helmi Bin Hidthiir & Alias Bin Mat Nor, 2019. "Assessing the Effect of Change in Oil Prices, Macroeconomics on the Banking Sector Stability in Oil-Producing Countries," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(4), pages 88-93, December.
    5. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2020. "Measuring systemic risk in the U.S. Banking system," Economic Modelling, Elsevier, vol. 91(C), pages 646-658.
    6. Hafeez, Bilal & Li, Xiping & Kabir, M. Humayun & Tripe, David, 2022. "Measuring bank risk: Forward-looking z-score," International Review of Financial Analysis, Elsevier, vol. 80(C).
    7. Seksak Jumreornvong & Chanakarn Chakreyavanich & Sirimon Treepongkaruna & Pornsit Jiraporn, 2018. "Capital Adequacy, Deposit Insurance, and the Effect of Their Interaction on Bank Risk," JRFM, MDPI, vol. 11(4), pages 1-18, November.
    8. Pereira, John & Sorwar, Ghulam & Nurullah, Mohamed, 2018. "What drives corporate CDS spreads? A comparison across US, UK and EU firms," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 188-200.

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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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