1,721,137 research outputs found

    The impact of textual sentiment on sovereign bond yield spreads: evidence from the Eurozone crisis

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    This study examines the relation between textual sentiment, the concentration/volume of news, and sovereign bond yield spreads, specifically in Greece, Ireland, Italy, Portugal and Spain during the European sovereign debt crisis (January 2009 to December 2012). The results are consistent with the story that investors of sovereign bonds respond to rising negative sentiment accompanied by an increased concentration/volume of news. If the change of the interaction measures increases by 1 unit and other factors remain unchanged, the change of yield spreads would move upwards by approximately 18 to 32 basis points, putting downward pressure on prices. Negative sentiment and the number of news stories respectively and collectively help predict the widening of yield spreads. A higher negative sentiment level is strongly associated with more news stories being reported, suggesting that “no news is good news.” Overall, textual sentiment conveys potential pricing-relevant information over and above the traditionally identified factors

    Where and about what? Price relevant narratives depend on topic and media type

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    The role of traditional or social media-expressed tone on stock prices is nuanced. Negative tone of traditional media articles is much more likely to convey material information than web messages. Some topics, regardless of source, are unusually negative, causing fluctuations in investor sentiment and temporary price deviations

    Media-expressed negative tone and firm-level stock returns

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    We build a corpus of over 5½ million news articles on 20 large US firms over the 10-year period from January 2001 to December 2010, and use it to study the time-varying nature of the relation between media-expressed firm-specific tone and firm-level returns. By estimating a series of separate rolling window vector autoregressive (VAR) models for each firm, we show how media-expressed negative tone impacts firm-level returns episodically in ways that vary across firms and over time. We find that firms experience prolonged periods during which media-expressed tone has no effect on returns, and occasional episodes when it has a significant impact. During the significant episodes, its impacts are sometimes quickly reversed and at other times they endure – implying that media comment and analysis can sometimes be sentiment (or noise), but it can also contain value-relevant information or news. Our findings are in general consistent with efficiently functioning markets in which the media assists with the processing of complex informatio

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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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