Knowledge that Transforms

Regulatory capital guidelines allow for loan loss reserves to be added back as capital. Our evidence suggests that the influence of loan loss reserves added back as regulatory capital (hereafter referred to as “add-backs”) on bank risk cannot be explained by either economic principles underlying the notion of capital or accounting principles underlying the recording of reserves. Specifically, we observe that, in sharp contrast to the economic notion of capital as a buffer against bank failure risk, add-backs are positively associated with the risk of bank failure during the recent economic crisis. Furthermore, the positive association of add-backs with bank failure risk is concentrated among cases in which the add-backs are highly likely to increase a bank’s total regulatory capital. The evidence cannot thus be fully explained by accounting principles either, since the role of loan loss reserves according to those principles does not depend on whether the reserves generate a regulatory capital increase. Additional analysis suggests that the observed influence of loan loss reserves on bank failure risk may be an unintended consequence of their regulatory treatment as capital.

The computation of implied cost of capital (ICC) is constrained by the lack of analyst forecasts for half of all firms. Hou et al. (J Account Econ 53:504–526, 2012, HVZ) present a cross-sectional model to generate forecasts in order to compute ICC. However, the forecasts from the HVZ model perform worse than those from a naïve random walk model and the ICCs show anomalous correlations with risk factors. We present two parsimonious alternatives to the HVZ model: the EP model based on persistence in earnings and the RI model based on the residual income model from Feltham and Ohlson (Contemp Account Res 11:689–732, 1996). Both models outperform the HVZ model in terms of forecast bias, accuracy, earnings response coefficients, and correlations of the ICCs with future returns and risk factors. We recommend that future research use the RI model or the EP model to generate earnings forecasts.