1,720,982 research outputs found
The Certification Effect of Sovereign Wealth Funds on the Credit Risk of their Portfolio Companies
Mimetic Isomorphism in the Governance of IPO Companies in Italy
In order to comply with listing requirements and overcome information asymmetries, listing companies may be encouraged to adapt themselves with market standards (‘isomorphism’) in the setting of governance devices in order to reduce the perceived uncertainty and obtain legitimacy towards investors.
In this work we evaluate the isomorphism of IPO companies with respect to the board characteristics (i.e. board size and members’ age). By analyzing a sample of 121 companies listed from 1999 to 2008 on the Italian Exchange, we find that mimetic strategies are frequent in IPO companies, and that the majority of them exhibit a reduction in the differences of board characteristics in the year after the flotation, compared to listed firms in the same sector. The percentage of mimicking companies is even larger if we consider only companies that introduce changes in the board composition.
Multivariate analyses suggest that isomorphism strategies are targeted to signal the IPO firm’s quality, and are an alternative to issuing underpriced shares
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
Testing the Strategic Asset Allocation of Stabilization Sovereign Wealth Funds
International audienceNone of the models that have been developed to determine the optimal strategic asset allocation (SAA) of stabilization sovereign wealth funds (SWFs) has received direct empirical validation, primarily because there is a lack of transparency regarding some of the key parameters that characterize the problem. In this paper, building on a mean-variance framework, we derive three sets of parsimonious statistical tests to compare the actual SAA of SWFs to a theoretical optimum. We apply these tests to the portfolio of the world's largest stabilization SWF (the Norwegian Government Pension Fund—Global or GPF) for the period between 2002 and 2005. The empirical analysis confirms that the static and dynamic deviations of the GPF's SAA from the market equity portfolio are consistent with the theoretical predictions.<br/
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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