Knowledge that Transforms

We survey research on banks׳ financial accounting. After providing a brief background of the theoretical models and accounting and regulatory institutions underlying the bank accounting literature, we review three streams of empirical research. Specifically we review studies associating bank financial reporting with the valuation and risk assessments, associating bank financial reporting discretion with regulatory capital and earnings management, and examining banks’ economic decisions under differing accounting regimes. We discuss what we have already learned and about what else we would like to know. We also discuss methodological challenges associated with predicting the effects of alternative accounting and regulatory capital regimes.

Tax evasion has been an important issue in the accounting literature for several decades, but the focus has been on corporate income taxes. We develop a new way to examine tax evasion that focuses on corporate transactions, rather than corporate profits. Specifically, we examine how commodity flows respond to destination sales taxes, allowing for tax evasion as a function of distance between trade partners. After accounting for transportation costs, we find that the effect of taxes decreases as distance increases. This is consistent with the notion that longer distances between trade partners hinder government oversight and increase the likelihood of successful tax evasion. Our results are robust with respect to outliers, strategic neighbor effects, information sharing agreements and other re-specifications. These results are important to policymakers because they evidence the difficulty of enforcing destination taxation in open economies such as U.S. states and the European Union.

The properties of earnings have changed dramatically over the past 40 years. Prior studies interpret this trend as a decline in earnings quality but disagree on whether it results from changes in the real economy or changes in accounting standards. I find that each new cohort of listed firms exhibits lower earnings quality than its predecessors, mainly because of higher intangible intensity. I conclude that the trend of decline in earnings quality is due more to changes in the sample of firms than to changes in generally accepted accounting principles (GAAP) or in the earnings quality of previously listed firms.

We document that aggregate accounting earnings growth is an incrementally significant leading indicator of growth in nominal Gross Domestic Product (GDP). Professional macro forecasters, however, do not fully incorporate the predictive content embedded in publicly available accounting earnings data. As a result, future nominal GDP growth forecast errors are predictable based on accounting earnings data that are available to professional macro forecasters in real time.

We define higher audit quality as greater assurance of high financial reporting quality. Researchers use many proxies for audit quality, with little guidance on choosing among them. We provide a framework for systematically evaluating their unique strengths and weaknesses. Because it is inextricably intertwined with financial reporting quality, audit quality also depends on firms’ innate characteristics and financial reporting systems. Our review of the models commonly used to disentangle these constructs suggests the need for better conceptual guidance. Finally, we urge more research on the role of auditor and client competency in driving audit quality.

Building on archival, anecdotal, and survey evidence on managers׳ roles in accounting manipulations, I develop an agency model to examine the effects of a CEO׳s power to pressure a CFO to bias a performance measure, like earnings. This power has implications for incentive compensation, reporting quality, firm value, and information rents. Predictions from the model provide potential explanations for the differing results from recent empirical studies on the impact of regulatory interventions like SOX and the extent to which the CEO׳s or CFO׳s incentives significantly impact on earnings management. The model also identifies conditions under which either a powerful or a non-powerful CEO can extract rents, which can help explain mixed empirical results on the association between CEO power and “excessive” compensation.