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Related Experiment Videos

Debt-maturity structures should match risk preferences.

L C Gapenski1

  • 1Department of Health Science Administration, University of Florida, Gainesville, USA.

Healthcare Financial Management : Journal of the Healthcare Financial Management Association
|November 7, 2000
PubMed
Summary
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Healthcare financial managers should prioritize the finance approach for debt-maturity matching. This strategy, defining assets as permanent or temporary, minimizes risk compared to the accounting approach

Area of Science:

  • Healthcare Financial Management
  • Corporate Finance

Background:

  • Effective debt-maturity matching is crucial for financial health.
  • Optimal capital structure and debt maturity alignment are key financial management decisions.

Purpose of the Study:

  • To compare the risk and cost implications of two debt-maturity matching strategies for healthcare organizations.
  • To guide healthcare financial managers in selecting the most appropriate strategy for their operational needs.

Main Methods:

  • Analysis of two debt-maturity matching strategies: the accounting approach (current/fixed assets) and the finance approach (permanent/temporary assets).
  • Evaluation of risk associated with each strategy, particularly the reliance on short-term debt in the accounting approach.

Main Results:

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  • The accounting approach, defining asset maturities as current or fixed, presents higher financial risk due to its reliance on short-term debt.
  • The finance approach, defining asset maturities as permanent or temporary, is a less risky financing strategy.
  • The accounting approach may offer lower costs but at the expense of increased risk.

Conclusions:

  • Healthcare financial managers aiming to support operations without undue risk should adopt the finance approach to maturity matching.
  • Classifying asset maturities as permanent or temporary aligns with a lower-risk financing strategy.
  • Debt-maturity structures should be tailored to reflect permanent or temporary asset classifications for optimal financial management.