1,720,979 research outputs found
Empirical analysis and multiple regression modelling of influential factors behind wheat prices in future market
This paper aims at pointing out major factors behind wheat prices, clarifying their effects on wheat prices and building a forecasting model to help ones interested in price movement. In the course of study, fundamental factors, macroeconomic indicators, production costs and speculative positions are discovered as four main factors. Under fundamental factors, supply, demand, ending stocks and stock-to-use ratio are examined comprehensively and concluded that ending stocks and stock-to-use ratio are significantly negatively correlated with wheat prices. This clearly demonstrates lower supply means higher prices. Regarding macroeconomic indicators, it is proved that dollar index has strong negative relationship with wheat prices mathematically. It is also observed that political risks & uncertainties are tend to influence wheat prices, particularly, current trade war between the USA and China is likely to cause bearish market environment. Under production costs factors, it is found that oil prices and fertilizer prices have significant positive correlation with wheat prices, which indicates that higher production input costs mean higher wheat prices or vice a versa. In speculative positions, it is determined that managed money net positions in the Commitments of Traders (COT) report, representative of speculative positions, have quite robust positive relationship with wheat prices, which concludes that managed money net positions becoming longer lead to spike in wheat prices or vice a versa. Furthermore, all major factors found in the study have been utilized to build statistical model and it is achieved that all those four major factors operate in the model successfully with conformity. Overall, the study reveals the most substantial factors triggering wheat prices and provides practical and applicable approach to predict wheat prices directionally based on pretty strong multiple linear regression model built in the study
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
Commodity Price Dynamics : A Structural Approach /
Title from publisher's bibliographic system (viewed on 25 Nov 2014)
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
The industrial organization of execution, clearing and settlement in financial markets
The execution, clearing, and settlement of financial transactions are all subject to substantial scale and scope economies which make each of these complementary functions a natural monopoly. Integration of trade, execution, and settlement in an exchange improves efficiency by economizing on transactions costs. When scope economies in clearing are more extensive than those in execution, integration is more costly, and efficient organization involves a trade-off of scope economies and transactions costs. A properly organized clearing cooperative can eliminate double marginalization problems and exploit scope economies, but can result in opportunism and underinvestment. Moreover, a clearing cooperative may exercise market power. Vertical integration and tying can foreclose entry, but foreclosure can be efficient because market power rents attract excessive entry. Integration of trading and post-trade services is the modal form of organization in financial markets, which is consistent with the hypothesis that transactional efficiencies explain organizational arrangements in these markets
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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