Credit ratings and firm value

  • Received April 13, 2020;
    Accepted May 19, 2020;
    Published June 11, 2020
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/imfi.17(2).2020.13
  • Article Info
    Volume 17 2020, Issue #2, pp. 157-168
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A topic of relevance to financial managers is the relation between a credit rating and firm value (VL). The general aim of this paper is to elucidate this relation with a specific objective of helping C corp managers choose an optimal target rating (OTR). To achieve these goals, we use the Capital Structure Model (CSM) to compute a series of firm value (VL) outcomes matched to credit ratings. The maximum VL (max VL), among all VL outcomes, identifies OTR. This identification begins with the matching of credit spreads and ratings by Damodaran (2019) for three firm categories: small, large, and financial service (FS). Given these spreads, we can compute costs of borrowing with these costs needed to compute VL and other numerical outcomes. Besides costs of borrowing, our numerical outcomes are based on other key inputs including US $1,000,000 in before-tax cash flows, C corp tax rates, and a sustainable growth rate. Major findings that guide managers include the following. First, Moody’s A3 is the most common OTR. Second, growth firms generally require higher ranked OTRs. Third, compared to small and large firms, FS firms attain greater max VL values, higher optimal debt-to-firm value ratios (ODVs), and generally lower ranked OTRs. Fourth, relative to small firms, large firms gain less from growth even though they attain greater max VL outcomes. Fifth, only for FS firms can we find outcomes where operational cash flows are better spent on interest payments than retained internally for growth.

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    • Figure 1. Gain to Leverage (GL) Results for Large Growth Test with Target Credit Rating of A3.
    • Figure 2. Firm Value (VL) Mean Outcomes for Five Small Tests, Five Large Tests, and Five FS Tests.
    • Table 1. Costs of Borrowing for Debt and Equity Matched to Credit Ratings
    • Table 2. Eleven Outcomes for Fifteen C Corp Tests
    • Conceptualization
      Robert M. Hull
    • Data curation
      Robert M. Hull
    • Formal Analysis
      Robert M. Hull
    • Funding acquisition
      Robert M. Hull
    • Investigation
      Robert M. Hull
    • Methodology
      Robert M. Hull
    • Project administration
      Robert M. Hull
    • Resources
      Robert M. Hull
    • Software
      Robert M. Hull
    • Supervision
      Robert M. Hull
    • Validation
      Robert M. Hull
    • Visualization
      Robert M. Hull
    • Writing – original draft
      Robert M. Hull
    • Writing – review & editing
      Robert M. Hull