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Asian Review of Financial Research Vol.37 No.3 pp.1-27 https://www.doi.org/10.37197/ARFR.2024.37.3.1
The Likelihood of Credit Rating Changes and Corporate Financial Policies
Taeyeon Kim Assistant Professor, Department of Business Administration, The Catholic University of Korea
Hyun-Dong Kim* Associate Professor, Graduate School of International Studies, Sogang University
Key Words : Credit rating,The possibility of credit rating changes,Credit evaluation,Corporate financial policy,The cost of capital

Abstract

Previous studies have examined how credit ratings are associated with corporate financial decisions by focusing on their linear relationship (e.g., Baghai, Servaes, and Tamayo, 2014; Khieu and Pyles, 2016; Jung and Kim, 2018; Kim and Kim, 2019; Jeon and Lee, 2020). However, this relationship is not likely to be linear because market recognition on credit ratings and financial regulations are affected by alphabetic ratings (Kisgen, 2006). For example, firms near credit rating upgrade (a rating designated with "+") or downgrade (a rating designated with "-") have stronger incentives to obtain a credit rating jump or avoid a credit rating downgrade than these not near credit rating change issue, resulting in different corporate financial decisions. In this paper, we thus examine how the likelihood of credit rating changes affects corporate financial policies. We hypothesize that firms near credit rating changes are more likely to have conservative financial policies than these not near rating changes. Our hypothesisis based on two reasoning. First, firms closer to credit rating changes are more likely to pursue conservative financial decisions to reduce the cost of raising capital. Because credit ratings are a significant factor to determine the cost of raising capital, firms near a rating change issue are more concerned about possible changes in their cost of capital. Hence, firms with a plus (minus) rating will be more conservative regarding their financial decisions to obtain the higher rating (maintain the current rating) than these without a plus (minus) rating. Second, firms near a change in rating are likely to choose more conservative policies to meet the investment criteria of financial institutions. Financial institutions face several regulations with respect to their investments. Under the regulations, a firm's credit rating is one of important criteria to decide the investments of financial institutions. Therefore, firms with a minus (plus) rating are motivated to set greater conservative policiesto maintain current investments (obtain new investments) from financial institutions than these not near a rating change issue. To test our conjecture, we use data on credit ratings to Korean firms over the 2011-2022 period. Following Kisgen (2006), We define firms with a plus (+) or minus (-) rating as these closer to rating changes (upgrade or downgrade). Using the rating outlook data, we also define firms with a "Positive" or "Negative" ("Stable") outlook as these near (not near) rating changes. Moreover, we measure corporate financial policies using a firm's leverage, dividend, and cash holdings. Our final sample includes 2,736 firm-year observations between 2011 and 2022. We find that firms with a plus or minus rating tend to use less debt, pay less dividend, and hold more cash than these without a plus or minus rating. We further find that firms with a "Positive" or "Negative"outlook are likely to borrow less, pay less dividend, and reserve more cash than these with a "Stable" outlook. The results suggest that firms more prone to rating changes are more likely to have conservative financial policies to reduce the cost of raising capital and meet the investment criteria of financial institutions. In addition, our findings remain consistent after mitigating endogeneity issues subject to reverse causality, omitted variable bias, and measurement errors. Specifically, our results persist when we re-estimate the likelihood of credit rating changes using the rating outlook data and perform propensity score matching analysis and system generalized method of moments (GMM) estimations. Unlike the previous literature that hasexamined on a linear relationship between credit ratings and corporate decisions, this paper contributes to the corporate finance literature by suggesting a non-linear relationship between the likelihood of credit rating changes and corporate financial policies. Furthermore, while existing studies on credit rating changes have focused on capital structure (Kisgen, 2006; Kim, Seol, and Kim, 2007; Kim and Yoon, 2013), earnings management (Kim, 2016), cost behavior (Kim and Chung, 2017), corporate governance (Hong and Kim, 2019), and voluntary disclosure incentive (Kim, 2022), this paper adds to the literature by exploring various corporate financial policies and enriching the understanding of corporate decisions with respect to credit rating concerns.
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