1,720,964 research outputs found
The impact of leverage on stock returns in the hospitality sector: evidence from the UK
Full text linkThis paper examines the relation between capital structure and abnormal returns for the UK hospitality sector by using an investment strategy based on hospitality firms’ capital structure. We find that abnormal returns are higher, 0.53 percent per annum, for medium leverage hospitality firms, and it can be increased up to 0.91 percent by investing in medium leverage and low price-to-book value firms. The findings raise an important issue for the hospitality sector as the firms in this sector are continually aiming to raise external finance to fund expansion. This is a unique situation when compared to other sectors in the economy whereby investors earn higher abnormal returns when investing in low levered firms (Muradoglu and Sivaprasad, 2012a)
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
The effect of leverage mimicking portfolios in explaining stock returns variations
No full textPurpose – The purpose of this paper is to explore the effect of leverage mimicking factor portfolios in explaining stock return variations. This paper broadens the focus of the current asset pricing literature by forming portfolios mimicking the leverage factor.
Design/methodology/approach – Following Fama and French's and Carhart's procedure in forming size, book-to-market and momentum mimicking portfolios, the authors of this paper form leverage mimicking factor portfolios to explain stock returns. A five factor model is constructed that explains the variations in stock returns better relative to the other asset pricing models including the Fama-French-Carhart four factor model.
Findings – The findings indicate that the leverage mimicking portfolio helps to explain stock return variations better relative to the other asset pricing models including the Fama-French-Carhart four factor model. Results are robust to other risk factors.
Research limitations/implications – The results lead us to explore further avenues in using other risk factors in asset pricing such as future work to consider other cross-sectional attributes such as the stochastic behaviour of earnings or profitability that might also produce common variation in stock returns. There may be other risk factors that carry a premium and thus can be used for asset pricing.
Practical implications – The paper's findings are important in fund management when selecting or evaluating portfolio performance. The authors introduce an additional factor that has a sound theoretical appeal and show that leverage mimicking factor portfolios provide additional information in pricing assets, both in the cross section of all shares and in different sectors.
Originality/value – To the best of the authors' knowledge this is the first study of the effect of leverage mimicking factor portfolios in explaining stock return variations
Capital structure and abnormal returns
No full textThis paper examines the relation between capital structure and abnormal returns for UK equities. A firm's industry matters when examining this relation. Abnormal returns decline in firm gearing, however, abnormal returns increase as the average industry gearing in a risk class increases. Separating the average level of external financing in an industry from that in a particular firm is important. This study focuses on industry characteristics. Firms in nonregulated and competitive industries with low concentration ratios exhibit this behavior. In contrast, in the utilities risk class, abnormal returns increase in firm gearing which is similar to the findings of Modigliani and Miller (1958) which was unique to the utilities sector
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
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