Credit ratings and firm value
-
Received April 13, 2020;Accepted May 19, 2020;Published June 11, 2020
- Author(s)
-
DOIhttp://dx.doi.org/10.21511/imfi.17(2).2020.13
-
Article InfoVolume 17 2020, Issue #2, pp. 157-168
- TO CITE АНОТАЦІЯ
-
Cited by7 articlesJournal title: International Journal of Financial StudiesArticle title: Pass-Through and C Corp Outputs under TCJADOI: 10.3390/ijfs8030046Volume: 8 / Issue: 3 / First page: 46 / Year: 2020Contributors: Robert HullJournal title: Politická ekonomieArticle title: Factors of Credit Ratings for Transfer Pricing of Loans in European ConditionsDOI: 10.18267/j.polek.1421Volume: 72 / Issue: 5 / First page: 727 / Year: 2024Contributors: Martin Boďa, Karel Brychta, Michal Ištok, Veronika SolilováJournal title: Advances in AccountingArticle title: How does the CEO horizon problem affect the cost of bank loans?DOI: 10.1016/j.adiac.2024.100768Volume: / Issue: / First page: 100768 / Year: 2024Contributors: Yangmei Wang, Savannah (Yuanyuan) GuoJournal title: Journal of Lifestyle and SDGs ReviewArticle title: Determinant of Firm Value of Bank in Asean: Implications for Sustainable Development GoalsDOI: 10.47172/2965-730X.SDGsReview.v5.n02.pe02922Volume: 5 / Issue: 2 / First page: e02922 / Year: 2024Contributors: Ika Neni Kristanti, Hadri Kusuma, Dekar UrumsahJournal title: International Journal of Financial StudiesArticle title: Nonprofits and C Corporations: Performance ComparisonDOI: 10.3390/ijfs11010018Volume: 11 / Issue: 1 / First page: 18 / Year: 2023Contributors: Robert Martin HullJournal title: Tikrit Journal of Administrative and Economic SciencesArticle title: إعداد القوائم المالية على وفق معيار الإبلاغ المالي الدولي (9) وتأثيره في التصنيف الائتماني للوكالات العالمية دراسة لعينة من المصارف العراقية المدرجة في سوق العراق للأوراق الماليةDOI: 10.25130/tjaes.16.52.1.1Volume: 16 / Issue: 52, 1 / First page: 1 / Year: 2020Contributors: حسنين سالم رشيدJournal title: International Journal of Financial StudiesArticle title: Nonprofits and Pass-Throughs: Performance ComparisonDOI: 10.3390/ijfs9010013Volume: 9 / Issue: 1 / First page: 13 / Year: 2021Contributors: Robert Hull, Shane Van Dalsem
- 965 Views
-
183 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
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.
- Keywords
-
JEL Classification (Paper profile tab)G32, G35
-
References32
-
Tables2
-
Figures2
-
- 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
-
- Baxter, N. D. (1967). Leverage risk of ruin and the cost of capital. Journal of Finance, 22(3), 395-403.
- Berk, J. B., Stanton, R., & Zechner, J. (2010). Human capital, bankruptcy and capital structure. Journal of Finance, 65(3), 891-926.
- Damodaran, A. (2019). Damodaran current online: Home page for Aswath Damodaran.
- DeAngelo, H., & Masulis, R. W. (1980). Optimal capital structure under corporate and personal taxes. Journal of Financial Economics, 8(1), 3-29.
- Donaldson, G. (1961). Corporate debt capacity: A study of corporate debt policy and the determination of corporate debt capacity. Boston: Harvard Business School.
- Doran, M. (2009). Managers, shareholders, and the corporate double tax. Virginia Tax Review, 95, 449-474.
- Financial Times. (2019). Triple A quality fades as companies embrace debt.
- FRED. (2019a). 30-Year Treasury Constant Maturity Rate. Federal Reserve Bank of St. Louis.
- FRED. (2019b). Moody’s seasoned Baa corporate bond yield. Federal Reserve Bank of St. Louis.
- Graham, J. R. (2000). How big are the tax benefits of debt? Journal of Finance, 55(5), 1901-1941.
- Graham, J. R., & Harvey, C. R. (2001). The theory and practice of corporate finance: Evidence from the field. Journal of Financial Economics, 60(2-3), 187-243.
- Hackbarth, D., Hennessy, C. A., & Leland, H. E. (2007). Can the trade-off theory explain debt structure? Review of Financial Studies, 20(5), 1389-1428.
- Hull, R. M. (2010). A capital structure model with growth. Investment Management and Financial Innovations, 7(4), 26-40.
- Hull, R. M. (2014a). Debt-equity decision-making with wealth transfers. Managerial Finance, 40(12), 1223-1250.
- Hull, R. M. (2014b). A capital structure model (CSM) with tax rate changes. Investment Management and Financial Innovations, 11(3), 8-21.
- Hull, R. M. (2018). Capital structure model (CSM): Correction, constraints, and applications. Investment Management and Financial Innovations, 15(1), 245-262.
- Jensen, M. C. (1986). Agency costs of free cash flow, corporate finance, and takeovers. American Economics Review, 76(2), 323-329.
- Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360.
- Kisgen, D. J. (2006). Credit ratings and capital structure. Journal of Finance, 61(3), 1035-1072.
- Kisgen, D. J. (2009). Do firms target credit ratings or leverage levels? Journal of Financial and Quantitative Analysis, 44(6), 1323-1344.
- Korteweg, A. (2010). The net benefits of leverage. Journal of Finance, 65(6), 2137-2170.
- McBride, W. (2012). CRS, at odds with academic studies, continues to claim no harm in raising top earners tax rates. Tax Foundation.
- Morningstar. (2019). Credit Ratings.
- Myers, S. C. (1977). Determinants of corporate borrowing. Journal of Financial Economics, 5(2), 147-175.
- Myers, S. C., & Majluf, N. (1984). Corporate financing and investment decisions when firms have information that investors do not have. Journal of Financial Economics, 13(2), 187-221.
- Penn Wharton Budget Model. (2017). The tax cuts and jobs act, as reported by conference committee (12/15/17): tax effects by industry.
- Polito, A. P. (2017). Mandatory pass-through taxation for non-publicly traded businesses? Virginia Tax Review, 36(3), 449-474.
- Pomerleau, K. (2017). Setting the Record Straight on Business Taxes. U.S. News.
- Tax Foundation. (2018). The positive economic growth effects of the Tax Cuts and Jobs Act?
- Tax Policy Center. (2018). How might the Tax Cuts and Jobs Act affect economic output?
- US Bureau of Economic Analysis. (2019). US Real GDP Growth Rate by Year.
- Van Binsbergen, J. H., Graham J. R., & Yang, J. (2010). Cost of debt. Journal of Finance, 65(6), 2089-2136.
-
-
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
-
Conceptualization
-
Understanding equity repurchase motives for different firm set-up: Indian evidence
Investment Management and Financial Innovations Volume 18, 2021 Issue #1 pp. 90-100 Views: 885 Downloads: 337 TO CITE АНОТАЦІЯCorporates express their intention to reward shareholders during repurchase announcements by maximizing their wealth. However, most empirical research finds that stocks’ performance is poor when repurchase announcements are made, and there are no significant abnormal returns. In the Indian context, the present study examines firms’ real intention behind repurchase decisions. The sample comprises 132 firms listed on the Bombay Stock Exchange (BSE) from 2012 to 2018. A Tobit regression model has been used on different firm set-up. The empirical results reveal that low stock valuation is the prominent reason for buybacks among corporates. Firms prefer repurchases to provide abnormal returns to the investors; however, the Indian market does not react much positively to the repurchases, and this might be the reason for less encouraging buybacks in the Indian market. Further, the tender offer is the most preferred mode to open market repurchases. In the case of service firms, undervaluation, low earnings, and low debt ratios are the contributing factors impacting repurchases. Firms with low dividend intend to have more buybacks to reduce their tax burden.
Acknowledgment
The infrastructural support provided by FORE School of Management, New Delhi in completing this paper is gratefully acknowledged. -
The relationship between female workforce participation and corporate bond credit ratings
Investment Management and Financial Innovations Volume 17, 2020 Issue #4 pp. 33-43 Views: 676 Downloads: 110 TO CITE АНОТАЦІЯThe topic of gender diversity in the workforce has received an increasing amount of attention and even resulted in developing a new term, sheconomy, which describes an economy in which women are the main economic players. This study examines the relationship between female workforce participation and corporate bond credit ratings. Using an ordered logit regression model and a sample of listed companies on the Korea Exchange, the results show that the higher the number and proportion of women in the workforce (based on female directors and female employees), the higher the credit rating. However, for chaebol companies, where female directors’ positive role is limited by chaebol owners, a negative (–) moderating effect is observed in the relationship between female workforce participation and credit ratings. Besides, female directors who are members of the owner’s family and were appointed as a means of succession negatively affect a company’s value. The findings contribute to accounting and finance research on the relationship between governance and credit ratings in terms of gender diversity. Policy implications regarding the recent system changes in Korea, including introducing a gender quota system, can be derived from the study.
-
The effect of tax avoidance on firm value with leverage as a moderating variable
Investment Management and Financial Innovations Volume 21, 2024 Issue #2 pp. 336-344 Views: 289 Downloads: 112 TO CITE АНОТАЦІЯThis study investigated the effect of tax avoidance (TAV) on company value in Jordan, with a specific focus on the moderating role of leverage. The sample is 55 Jordanian industrial firms listed on the Amman Stock Exchange for the study period from 2005 to 2022. Given the evolving regulatory landscape and the importance of tax planning strategies for corporate performance, understanding these dynamics is critical. Employing panel data analysis spanning several years, the study examined the link between tax avoidance, leverage, and company value. The results indicated a significant negative association between TAV and firm value (the correlation between them is –29.3%), suggesting that firms engaging in higher levels of TAV experience lower market valuations. Additionally, the analysis reveals that leverage plays a crucial moderating role in this relationship, amplifying the negative impact of TAV on firm value. The study also found a strong correlation between firm value and size, and the relationship between firm value and ROA remains significant and positive. These findings provided valuable information for policymakers, corporate executives, and investors navigating the complexities of contemporary business environments in Jordan and beyond.