1,723,583 research outputs found
黎雲寄傲 = Li yun ji ao
Imprint date from prefaceLithoprintDouble leaves, oriental style, characters in red colourHarry Simon Collection[S.l. : 飲虹簃, 壬申 1932?
雲莊張文忠公休居自適小樂府 = Yun zhuang Zhang Wenzhong gong xiu ju zi shi xiao yue fu
Imprint date from prefaceLithoprintDouble leaves, oriental style, characters in red colourHarry Simon Collection[S.l. : 飲虹簃, 壬申 1932?
Momentum strategies, dividend policy, and asset pricing test
This dissertation includes three essays which investigate momentum strategies, dividend
policy, and asset pricing test. The brief abstracts of these three essays are presented as follows. The first essay investigates the existence of revenue momentum strategy and the interrelationship among revenue, price, and earnings momentum strategies. Empirical
results indicate that prior returns, earnings surprises and revenue surprises each carries some exclusive information content that is not fully priced by the market. This essay also finds that the market generally underestimates the joint information associated with
prior returns, earnings surprises, and revenue surprises. This further leads to a profitable
combined momentum strategy, which exploits all three information and yields a monthly return as high as 1.57%. The second essay studies the theoretical and empirical issues of a firm’s dividend policy. This essay theoretically extends the proposition of DeAngelo and DeAngelo’s (2006) optimal payout policy in terms of the flexibility dividend hypothesis. Using data collected in the U.S. from 1969 to 2009, this essay investigates the impact of growth rate, systematic risk, and total risk on the optimal payout ratio in terms of the fixed-effect
model. Results show that a company will reduce its payout when the growth rate increases for the consideration of flexibility, and a nonlinear relationship exists between the payout ratio and the risk. The theoretical model and empirical results can therefore
be used to identify whether flexibility or the free cash flow hypothesis should be used to determine the dividend policy. The third essay investigates how measurement errors associated to the market rate
of return and estimated beta can affect the capital asset pricing model test. This essay further studies three errors-in-variables estimation models which include grouping method, instrumental variable method, and maximum likelihood method. Using U.S. individual stock and market index data during 1931 to 2009, this essay empirically examines various errors-in-variables estimation methods in testing capital asset pricing
model. Empirical results support the role of the market beta in the capital asset pricing model after adjusted by errors-in-variables models.Ph.D.Includes bibliographical referencesIncludes vitaby Hong-Yi Che
Quan yin XX zhang
中山醫學院红醫兵."一九六七年五月廿六日"题名及丛书由编目者拟定.Zhongshan yi xue yuan hong yi bing."Yi jiu liu qi nian wu yue nian liu ri"Ti ming ji cong shu you bian mu zhe ni ding
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
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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