1,720,956 research outputs found
Discussion of “investor recognition and stock returns”
Lehavy and Sloan (2008, Review of Accounting Studies) note that prior studies find that earnings and cash flows explain only a small portion of the cross-sectional variation in stock return. This motivates them to investigate empirically the ability of a behavioral model of capital market equilibrium proposed by Merton (1987, Journal of Finance, 42, 483–510) to explain the remaining variation in stock returns. Their primary findings show that security value is, as predicted, increasing in investor recognition of the security and that investor recognition is incremental to and more important than cash flows in explaining the cross-sectional variation of stock returns. While the research question is intriguing and well motivated, a number of methodological limitations may limit the reliability of the findings/interpretations. In this paper, I first evaluate the motivation and potential contribution of the Lehavy and Sloan (2008) study. I then outline methodological limitations underlying the study and offer ways of overcoming them. In the final section, I state my conclusion
The “numbers game” in the pre- and post-Sarbanes-Oxley eras
We address two research questions in this study. First, is there a change in the prevalence of expectations management to meet or beat analysts' earnings expectations in the aftermath of the 2001–2002 accounting scandals and the passage of the 2002 Sarbanes-Oxley Act (SOX)? Second, did the mix among the three mechanisms used for meeting or beating analysts' earnings expectations: accrual-based earnings management, real earnings management, and expectations management change in the Post-SOX period? We hypothesize and provide empirical evidence that the observed drop in the frequency of just meeting or beating analysts' earnings expectations is associated with both (1) a decline in the use of downward expectations management and upward accrual-based earnings management in the Post-SOX period relative to the preceding seven-year period and (2) an increase in upward real earnings management activities
Executive compensation in the litigation setting
Here’s all the information you need to provide your clients with superior litigation support services. Get up to speed quickly, with the aid of top experts, on trial preparation and testimony presentation, deposition, direct examination, and cross-examination. Authoritative and highly practical, this is THE essential guide for any financial expert wanting to prosper in this lucrative new area, the lawyers who hire them, and litigants who benefit from their effort
Post Loss/:Profit Announcement Drift
We document a market failure to fully respond to loss/profit quarterly announcements. The annualized post portfolio formation return spread between two portfolios formed on extreme losses and extreme profits is approximately 21 percent. This loss/profit anomaly is incremental to previously documented accounting-related anomalies, and is robust to alternative risk adjustments, distress risk, firm size, short sales constraints, transaction costs, and sample periods. In an effort to explain this finding, we show that this mispricing is related to differences between conditional and unconditional probabilities of losses/profits, as if stock prices do not fully reflect conditional probabilities in a timely fashion
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
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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