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Measuring the efficiency of capital allocation in commercial banking

Author

Listed:
  • Joseph P. Hughes
  • William W. Lang
  • Choon-Geol Moon
  • Michael S. Pagano

Abstract

Commercial banks leverage their equity capital with demandable debt that participates in the economy's payments system. The distinctive nature of this debt generates an unusual degree of liquidity risk that can, at times, threaten the payments system. To reduce this threat, insurance protects deposits; and to reduce the moral hazard problems of the debt contract and deposit insurance, bank regulation constrains risk-taking and defines standards of capital adequacy. The inherent liquidity risk of demandable debt as well as potential regulatory penalties for poor financial performance creates the potential for costly episodes of financial distress that affects banks' employment of capital. ; The existence of financial-distress costs implies that many banks are likely to take actions, such as holding additional capital, that increase bank safety at the expense of short-run returns. While such a strategy may reduce average returns in the short run, it may maximize the market value of the bank by protecting charter value and protecting against regulatory interventions. On the other hand, some banks whose charter values are low may have an incentive to follow a higher risk strategy, one that increases average return at the expense of greater risk of financial distress and regulatory intervention. ; This paper examines how banks' employment of capital in their production plans affects their \"market value\" efficiency. The authors develop a market-based measure of production efficiency and implement it on a sample of publicly traded bank holding companies. Our evidence indicates that banks' efficiency and, hence, the market value of their assets are influenced by the level and allocation of capital. However, even controlling for the effect of size, we find that the influence of equity capital differs markedly between banks with higher capital-to-assets ratios and those with lower ratios. For inefficient banks with higher capital-to-assets ratios, marginal increas
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Suggested Citation

  • Joseph P. Hughes & William W. Lang & Choon-Geol Moon & Michael S. Pagano, 1999. "Measuring the efficiency of capital allocation in commercial banking," Proceedings 626, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhpr:626
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    Cited by:

    1. Hughes, Joseph P. & Mester, Loretta J., 2013. "Measuring the Performance of Banks: Theory, Practice, Evidence, and Some Policy Implications," Working Papers 13-28, University of Pennsylvania, Wharton School, Weiss Center.
    2. Hughes, Joseph P. & Lang, William W. & Mester, Loretta J. & Moon, Choon-Geol, 1999. "The dollars and sense of bank consolidation," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 291-324, February.
    3. Greg Caldwell, 2005. "Subordinated Debt and Market Discipline in Canada," Staff Working Papers 05-40, Bank of Canada.
    4. Lang, William W. & Robertson, Douglas D., 2002. "Analysis of proposals for a minimum subordinated debt requirement1," Journal of Economics and Business, Elsevier, vol. 54(1), pages 115-136.
    5. Joseph P. Hughes & Loretta J. Mester, 2012. "A primer on market discipline and governance of financial institutions for those in a state of shocked disbelief," Working Papers 12-13, Federal Reserve Bank of Philadelphia.
    6. Joseph P. Hughes, 2013. "The Elusive Scale Economies of the Largest Banks and Their Implications for Global Competitiveness," World Scientific Book Chapters, in: Douglas D Evanoff & Cornelia Holthausen & George G Kaufman & Manfred Kremer (ed.), The Role of Central Banks in Financial Stability How Has It Changed?, chapter 17, pages 327-345, World Scientific Publishing Co. Pte. Ltd..
    7. Hughes, Joseph P. & Mester, Loretta J., 2013. "Who said large banks don’t experience scale economies? Evidence from a risk-return-driven cost function," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 559-585.
    8. Flavio Bazzana, 2001. "I modelli interni per la valutazione del rischio di mercato secondo l'approccio del Value at Risk," Alea Tech Reports 011, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.

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