Is artificial intelligence improving the audit process?

Review of Accounting Studies - How does artificial intelligence (AI) impact audit quality and efficiency? We explore this question by leveraging a unique dataset of more than 310,000 detailed...     

The Accrual Anomaly: Accrual Originations,Accrual Reversals,and Resolution of Uncertainty*

We combine a fundamental property of accruals and a behavioral phenomenon to provide an explanation for the accrual anomaly. The fundamental property is accruals that originate must subsequently reverse. The behavioral phenomenon is individuals tend to underestimate the variance of noisy signals in various domains of decision making. We argue that originating accruals represents a noisier signal than reversing accruals because the uncertainty of whether originating accruals will eventually convert into cash is high, while there is no uncertainty regarding reversing accruals. If investors underestimate the variance of originating accruals but understand reversing accruals, then originating accruals will be mispriced while reversing accruals will not. To test this prediction, we first develop and empirically validate a novel method for ex ante detecting accrual originations and their reversals. Then we document that investors face increased uncertainty when accruals originate and decreased uncertainty when accruals reverse, and we provide evidence that only originating accruals are mispriced. We further demonstrate that our findings can be useful for improving the accrual-based trading strategy by ex ante detecting and removing accrual reversals from extreme accrual portfolios. Overall, we provide a behavioral explanation for the accrual anomaly that is consistent with the mispricing of originating accruals only.     

The sharpest tool in the shed: IPO financial statement management of STEM vs. non-STEM firms

The valuation of STEM (science, technology, engineering, and math) firms has recently gained attention in the literature. Research has shown that, for valuation of STEM firms, accounting items such as sales growth and R&D expenditures matter more than bottom-line earnings. We examine whether, around the time of the IPO, STEM managers apply discretion over the accounting items most weighted by investors for their valuation. We find that investors tend to weigh sales growth and R&D more heavily than earnings in valuing STEM firms and that managers respond by managing those items rather than bottom-line earnings as in prior research. We find that future stock returns of STEM firms are negatively associated with sales management and not with abnormal accruals as for non-STEM firms. Our results illuminate the differential behavior of STEM managers and highlight the importance of a departure from the traditional IPO earnings management paradigm, which assumes that firms mainly manage their earnings.     

THE SIZE AND DISTRIBUTION OF THE POVERTY GAP IN CANADA: A MICRO ANALYSIS OF VARIATIONS AMONG DEMOGRAPHIC GROUPS

Poverty is a much used term by politicians, economists, sociologists, the media and interest groups. Although there is some common consensus that the word poverty means some type of deprivation, there is a lack of comprehensive measures to quantify this term. Although deprivation can relate to a number of areas such as health and education, the focus in policy development has been aimed at economic deprivation or more specifically, income adequacy. Even in this perspective, the availability of comprehensive measures are limited. The United States is the only major industrial nation that has an official poverty line. Several unofficial poverty lines have been developed in Canada, but the poverty measures have not gone beyond head counts of people who fall below these lines. In an environment where the goal is to further progressive social development constrained by inadequate public resources, the emphasis has been on first directing scarce resources to those "most in need". To get a better perception of economic need, this paper provides a micro analysis of the size and distribution of the poverty gap so that meaningful comparisons can be made between demographic groups. The results of this analysis yield some interesting findings. For example, there are virtually no poor elderly couples and although there are a large number of poor single elderly, their income shortfalls are relatively small and are highly concentrated near the poverty line; the poverty rate among families with children is quite low but their incomes on average fall well below the poverty line and are widely dispersed; and single parents fare badly on all measures.