1,720,957 research outputs found
Analyzing the effects of demand uncertainty on inventory in six United States retail sectors using multivariate GARCH-M models and life and property-casualty insurance industry comparisons four years after the enactment of GLBA.
No full textChapter 2. Following GLBA of 1999, previous studies recommended that banks enter the life insurance industry rather than property casualty insurance based on their prediction that the combined firm would have a less volatile return. Their recommendations are based on industry return and volatility data before the enactment of GLBA in which the life insurance firms had less volatile returns than property-casualty insurance. The theoretical background links a higher revenue or demand for financial institution's products with a safer or lower-risk financial institution. This study uses different data and finds that the return and volatility in each and between these two industry segments do not differ significantly upon the enactment of GLBA. This study uses regression models to analyze the premiums earned by the company and the loss ratio to see whether life insurance is more attractive for entrants than the property-casualty industry. The regression results show that during the four-year period after the enactment of GLBA, premiums earned by a life insurance company are higher than premiums earned by property-casualty insurance. The loss ratio equations show that during the four-year period, the loss ratio experienced by life insurance is higher than that experienced by property-casualty insurance.Chapter 1. This study examines the relationship between inventory and demand uncertainty in six retail sectors and compares the results with previous studies that focused on the more aggregate retail data. Using the constant correlation bivariate GARCH-in-Mean with the vector error correction model (VECM) as the form of mean equation and assuming the GARCH(1,1) process as the measure of demand uncertainty, previous studies find no significant relationships between inventory and demand volatility in aggregate retail. Using the same model for six retail sectors, this study finds the same results. This study shows positive effects of demand uncertainty on inventory holdings by replacing the VAR for VECM as the form of mean equation, particularly in building material, furniture, auto dealers and general merchandise, using both constant correlation and diagonal-BEKK models and in food using the diagonal-BEKK model. A significantly negative relation exists in food retail using a constant correlation model. A mixed result is observed in apparel and general merchandise between different scenarios within the VAR diagonal models. In food, furniture, auto-dealers, and general merchandise retailers, the demand volatilities are time-varying across models. In building material retail, the time-varying demand volatility is not observed in the VECM with a constant correlation. In apparel, the time-varying demand volatility is not observed in both the VAR and VECM with constant correlation. In addition, interrelationships exist between inventory and sales in all six retail sectors in one or in a combination of these forms: (1) their dependence on each other's level, (2) their being influenced by each other's volatility, and (3) their significant coefficient of correlations. Previous studies show that aggregate retail inventory and demand are cointegrated and the same results are shown in this study in the six retail sectors
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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