This paper examines how commonly used earnings quality measures fulfill a key objective of financial reporting, i.e., improving decision usefulness for investors. We propose a stock-price-based measure for assessing the quality of earnings quality measures. We predict that firms with higher earnings quality will be less mispriced than other firms. Mispricing is measured by the difference of the mean absolute excess returns of portfolios formed on high and low values of a measure. We examine persistence, predictability, two measures of smoothness, abnormal accruals, accruals quality, earnings response coefficient and value relevance. For a large sample of US non-financial firms over the period 1988–2007, we show that all measures except for smoothness are negatively associated with absolute excess returns, suggesting that smoothness is generally a favorable attribute of earnings. Accruals measures generate the largest spread in absolute excess returns, followed by smoothness and market-based measures. These results lend support to the widespread use of accruals measures as overall measures of earnings quality in the literature.

The adoption of International Accounting Standards/International Financial Reporting Standards (IAS/IFRS) has two opposite effects on audit fees: on the one hand, greater effort is required from auditors, which is likely to be reflected by higher fees; on the other hand, if IAS/IFRS improve the quality of financial reporting, expected liability costs could decrease and lower fees may be demanded. We consider a large sample of Italian banks and we examine the effect of IAS/IFRS adoption on audit fees. The results show that higher fees (19.29 per cent in real terms) are paid after the switch to the new standards. Using a standard earnings management model, we do not find support for the idea that financial reporting quality is affected by the adoption of IAS/IFRS. The observed increase in fees is positively associated with the presence of financial derivatives held for hedging purposes. This paper extends the findings of prior research on the effect of IAS/IFRS adoption on audit fees; contrary to prior contributions, our analysis concentrates on the banking industry. Furthermore, unlike prior works, we consider both listed and non-listed firms.

Accounting comparability has been the subject of significant interest in empirical financial accounting research. Recent literature, particularly that following De Franco et al.'s (2011) influential study, has focused on utilizing the output of the financial reporting process to measure accounting comparability. In this paper, we conduct an early survey of studies using output-based measures of comparability. We provide two distinct contributions to the literature. First, we describe and comment on four important measurement concepts as well as the studies that introduced them. With this methodological contribution, we aim to facilitate the measurement choice for empirical accounting researchers engaged in comparability research. Second, we classify the sub-streams of literature and related studies. In providing this content-related contribution, we sum up what has already been achieved in output-based accounting comparability research and highlight potential areas for prospective research. As a whole, our study attempts to guide empirical researchers who (plan to) undertake studies on accounting comparability in selecting relevant topics and choosing adequate approaches to measurement. 'Comparability is the qualitative characteristic that enables users to identify and understand similarities in, and differences among, items. Unlike the other qualitative characteristics, comparability does not relate to a single item. A comparison requires at least two items.' 'Consistency, although related to comparability, is not the same. Consistency refers to the use of the same methods for the same items, either from period to period within a reporting entity or in a single period across entities. Comparability is the goal; consistency helps to achieve that goal.' 'Comparability is not uniformity. For information to be comparable, like things must look alike and different things must look different. Comparability of financial information is not enhanced by making unlike things look alike any more than it is enhanced by making like things look different.' From the above definitions, some of the dimensions linked to comparability in financial accounting become apparent. First, comparability can be related to single or multiple items in the financial statements; while the former is called 'consistency' in the IFRS Conceptual Framework and described as a subordinate concept linked to comparability, the latter is directly referred to as 'comparability'. Second, comparability can be useful both from a longitudinal perspective on a single firm and a cross-sectional perspective on multiple firms; this can, e.g., also be illustrated by referring to research on comparability in financial accounting: almost all of the empirical studies that we will describe in the further course of this paper use panel data, which means that researchers employ both a longitudinal and a cross-sectional perspective in their research designs. Third, comparability comprises a 'similarity facet' as well as a 'difference facet', since it both * The comparabi...

In this work, using a detailed dataset furnished by National Health Authorities concerning the Province of Pavia (Lombardy, Italy), we propose to determine the essential features of the ongoing COVID-19 pandemic in terms of contact dynamics. Our contribution is devoted to provide a possible planning of the needs of medical infrastructures in the Pavia Province and to suggest different scenarios about the vaccination campaign which possibly help in reducing the fatalities and/or reducing the number of infected in the population. The proposed research combines a new mathematical description of the spread of an infectious diseases which takes into account both age and average daily social contacts with a detailed analysis of the dataset of all traced infected individuals in the Province of Pavia. These information are used to develop a data-driven model in which calibration and feeding of the model are extensively used. The epidemiological evolution is obtained by relying on an approach based on statistical mechanics. This leads to study the evolution over time of a system of probability distributions characterizing the age and social contacts of the population. One of the main outcomes shows that, as expected, the spread of the disease is closely related to the mean number of contacts of individuals. The model permits to forecast thanks to an uncertainty quantification approach and in the short time horizon, the average number and the confidence bands of expected hospitalized classified by age and to test different options for an effective vaccination campaign with age-decreasing priority.

In this paper, we examine the relation between managerial discretion in accruals and informational efficiency. We measure managerial discretion in accruals by the absolute value of abnormal accruals. Assuming that efficient prices follow a random walk, we measure informational efficiency by using stock return variance ratios. We find that the absolute value of abnormal accruals is negatively associated with the price deviation from a random walk pattern, estimated in the 12-month period subsequent to the accrual reporting; hence, future informational efficiency increases with the extent to which managers exercise discretion over accruals. The results are consistent with the view that discretionary accruals, on average, convey useful information to investors and facilitate the price convergence to its fundamental value. Our findings are robust to a battery of tests, including tests to validate both our measures of informational efficiency and our measure of managerial discretion in accruals.