1,721,024 research outputs found
The effect of algorithmic trading on market liquidity: Evidence around earnings announcements on Borsa Italiana
This paper examines the impact of algorithmic trading (AT) on market liquidity around periods of high information asymmetry when available liquidity is more valuable. We identify the implementation of proximity hosting services by Borsa Italiana, that are expected to increase AT, in order to examine the behaviour of liquidity around earnings announcements in pre- and post-AT periods. Consistent with previous research, we find that bid-ask spreads widen and market depth falls following earnings announcements in the pre-AT period. However, in the post-AT period, while we find a similar pattern in bid-ask spreads, we find no evidence of a significant fall in market depth. We also find firms that experience the largest increase in AT from pre- to post-AT periods, exhibit lower bid-ask spreads and greater depth following earnings announcements. We conclude that AT improves market liquidity by increasing the resiliency of markets around periods of high information asymmetry, specifically around earnings announcements
Does information asymmetry predict audit fees?
This study investigates whether and how information asymmetry in the stock market affects the quantum of audit fees paid by auditees. It is based on a sample of 218 US publicly traded companies and adopts two well-established proxies for information asymmetry, namely bid-ask spread (BAS) and probability of informed trading (PIN). Empirical results provide evidence that, after controlling for all main audit fees determinants, information asymmetry is positively related to the quantum of audit fees paid. Overall, evidence supports the contention that less transparent companies convey higher audit risk, and therefore auditors require higher compensation
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Accrual-Based Earnings Management in State Owned Companies: Implications for Transnational Accounting Regulation
Purpose
– Opposition to transnational calls for the adoption of accrual-based accounting in the public sector may stem from arguments that it is associated with poor earnings quality. The purpose of this paper is to determine whether state owned enterprises (SOEs) operating under accrual-based accounting manage their earnings, whether it is more prevalent vis-à-vis privately owned enterprises (POEs) and the conditions under which it is more likely to occur.
Design/methodology/approach
– This paper measures earnings management for a large sample of unlisted Italian SOEs and POEs using a framework developed by Stubben (2010). The authors use regression analysis to estimate the variables which predict abnormal accruals including firm size, leverage and profitability.
Findings
– The authors find no evidence that the level of state ownership (SO) is positively correlated with accrual-based earnings management. The authors also provide evidence that earnings management by SOEs decreases with firm size and increases with profitability.
Research limitations/implications
– While the study is the first to examine earnings management in a public sector accrual accounting environment for a sample of European firms, namely Italian firms, the authors call for more research into this issue examining public entities in other European Union (EU) member states or public entities other than SOEs.
Practical implications
– The EU recently introduced a new transnational accounting directive in which it prescribes the preparation of financial statements based on accrual accounting for all European public sector entities, arguing that it reduces the window dressing that is allowed by cash accounting. Since Italian SOEs already prepare their accounts on an accruals-basis, by analysing their accounting behaviour the authors are able to determine the variables which predict when earning management is more likely to occur in a public sector accrual accounting environment, and therefore the authors provide guidance which may be useful in shaping the transition process from cash accounting to accrual accounting by identifying the types of entities whose accounts should be subject to greater regulatory scrutiny. A better understanding of the relation between SO and earnings management will provide insight into public sector corporate governance and aid in the acceptance of transnational regulation that would otherwise significantly alter current accounting practices and possibly be opposed at a national level.
Originality/value
– Earnings management in a public sector accrual accounting environment had been analysed only for Chinese listed companies. The authors extend previous analysis to a sample of European (Italian) SOEs which are unlisted. The authors also extend previous work by determining the characteristics of firms which manage their earnings
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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