1,720,969 research outputs found
Investment choices: Indivisible non-marketable assets and suboptimal solutions
Full text linkSeveral investment decisions deal with non-marketable assets. Non-marketable assets are available only to one investor and are often indivisible. This has relevant consequences on investor investment opportunities. Adhering to a mean–variance representation of the investment space and considering a non-marketable asset (divisible or not), we derive some possible investment scenarios an investor may face. Furthermore, we show how a limited ability to gather and process information affects investor portfolio choices. Our results define a set of conditions under which the non-marketable asset represents a good investment and show that, under certain assumptions, the efficient frontier exhibits non-linearities and intervals of discontinuity
Earning Forecast Bias and Accurancy in the Italian Market
No full textThe aim of this study is to evaluate the financial analysts’ earnings forecast bias and accuracy. We focus on annual earnings per share forecasts issued on Italian listed firms by brokerage analysts and find that (1) analyst are on average optimistic about the future prospects of covered firms; (2) median optimistic bias as well as forecast dispersion decline during the forecasting period toward the actual realization; (3) earnings forecasts are on average inaccurate; (4) accuracy increases with the firm size, actual profit realization, brokerage size, analyst’s specific experience on firm and, in general, during bull markets, while it declines with the number of firm the analysts follows and when the time from the forecast date to the release of actual earnings increases; (5) forecasts are less accurate for technological listed firms, compared to firms in other sectors
Market reaction to second-hand news: inside the attention-grabbing hypothesis
No full textThis article investigates whether the market reaction to second-hand information is due to price pressure or information dissemination. We use the perspective of attention grabbing to analyse the market reaction to the dissemination of analysts’
recommendations published in print media. This perspective is able to explain the asymmetric market reaction to ‘buy’ and ‘sell’ advice, which is difficult to rationalize within the price pressure hypothesis. We base our empirical analysis on the content of a weekly column in the most important Italian financial newspaper,
which publishes past information and analysts’ recommendations on listed companies. Our findings show asymmetric price and volume reactions on the publication day. Contrary to previous evidence, we document a positive relationship between the number of analysts quoted in the column and the price (volume)
increase associated with positive recommendations. Because the weekly columns seem to simply attract investors’ attention, with no additional new information, observing a reaction positively related to the column’s salience (proxied by the number of quoted analysts) is natural. In addition, we find that the market reaction is higher when the order size is lower, i.e., when individual investors’ trades constitute a higher fraction of the total trading activity in the market
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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