This study examines how lenders modify their behavior and their use of traditional, transaction-based lending models in credit decisions when faced with low earnings quality.
To measure the earnings quality, following Bharath, Sunder and Sunder (2008), the authors use three measures of accrual quality and combine them into a simple parsimonious measure of accrual quality. Subsequently, the authors apply the incremental R-square approach used by Kim and Kross (2005) to determine the degree to which lenders modify their reliance on financial statement ratios when faced with low accrual quality.
Consistent with prior literature, this study shows that the cost of debt is higher when accrual quality is low. In addition, this study extends prior literature by showing that lenders decrease their reliance on income statement data to make credit decisions as accrual quality decreases.
This paper broadens existing literature on the pricing of information risk in capital markets by being the first to show that lenders modify their reliance on financial statement data when faced with low-quality accruals. In addition, this paper extends the findings of Billings and Morton (2002) and demonstrates to managers the futility of using accrual manipulations to obtain more favorable credit terms. Lastly, this paper aids regulators and standard setters who seek to improve the usefulness of financial statements by showing that creditors do not appear to be misled by reporting choices that lower the quality of accruals.
