It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer