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Performance, Growth and Earnings Management

Review of Accounting Studies 2006 11(2-3), 305-334
We study the relationship between the amount of managed earnings and firms’ earnings performance and expected growth in a reporting model, where managers manipulate earnings to influence the valuation of firms’ equity while bearing a cost that is increasing and convex in the amount of managed earnings. In the unique revealing equilibrium to the model, firms with higher performance and growth over-report earnings by a larger amount because price responsiveness increases with earnings performance and growth. And earnings quality, defined as the proportion of true economic earnings in total reported earnings, increases with earnings performance but decreases with earnings growth. We conduct empirical tests on a large sample and a restatement sample using different proxies for earnings management. Results from the large sample tests support our predictions while results from the restatement sample tests are mixed. Our study provides an alternative explanation to the positive relationship between discretionary accruals estimated from the Jones model and firms’ performance and growth.

What can we learn about credit risk from debt valuation adjustments?

Review of Accounting Studies 2023 28(4), 2556-2588 open access
Motivated by the debate about the introduction of the fair value option for (financial) liabilities (FVOL) and the requirement to recognize and separately disclose in financial statements debt valuation adjustments (DVAs), this study explores what we can learn about a firm’s credit risk from DVAs. Using a sample of US bank holding companies that elect the FVOL, we show that DVAs generally cannot be explained by the same factors that explain contemporaneous changes in bank’s credit quality. We further find that DVAs can explain future changes in credit risk when the fair value of liabilities is based on managerial inputs (Level 3). Overall our results suggest that managers have an information advantage in estimating credit risk and that DVAs provide inside information to the market.