1,721,042 research outputs found

    Bondholder concentration and credit risk: evidence from a natural experiment

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    We exploit the impact of hurricane Katrina on insurance companies to study the relationship between bondholder concentration and credit risk. Redemption-driven sales by property and casualty (re)insurance companies exposed to hurricane Katrina are associated with a large drop in bondholder concentration faced by corporate bond issuers. Exploiting this shock to capture exogenous variation in bondholder concentration, we find that greater bondholder concentration is associated with higher bond yield spreads, as well as with firm characteristics associated with credit risk

    A servant to many masters: Competing shareholders preferences and limits to catering

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    We study what determines catering through the payout policy and how catering affects firm value. We create a catering index, measuring how the firm caters to its investors’ payout preferences. The index is based on the revealed payout preferences of mutual funds holding the firm’s stocks. Catering is constrained by market segmentation and dispersion in investor payout preferences. It is also associated with positive value effects: Firms increasing their catering index also experience an increase in value. Furthermore, greater catering ability is associated with a more positive market reaction to corporate announcements of equity issues and dividend payouts

    Cross-border alliances and risk management

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    We study U.S. firms' foreign expansion choices, and investigate alliances as risk management devices used to mitigate partner risk. Firms venturing abroad are constrained by the availability of potential partners. One set of partners are foreign companies the firm shares the venture with (direct partners). The second set of partners is the institutions/government of the host country (indirect partners). Firms are more likely to choose alliances (over M&As) when indirect (direct) partner risk is high (low). The sensitivity to direct partner risk varies in the cross-section, and is weakened by financial constraints and greater ease of monitoring foreign partners

    The Informational Role of Corporate Hedging

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    We study the informational role of corporate hedging, comparing two hypotheses. Under the "opacity" hypothesis, corporate hedging makes earnings less informative, renders the firm opaque, and increases informed traders' profitability. Under the "transparency" hypothesis, hedging reduces uncertainty and erodes the informed traders' information advantage and profitability. Our tests support the transparency hypothesis. Hedging is associated with lower uncertainty (lower implied volatility and analyst forecast dispersion, and greater breadth of ownership). It is also associated with a lower informed trading intensity, in particular for short selling. Short selling profits are more than twice lower on the stocks of firms engaging in corporate hedging

    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

    Author Index

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