1,720,956 research outputs found
Does Term Spread Predict the Swings in Exchange Rate?
No full text本文參考Chen (2011) 之研究方法, 以12 個已開發國家的月資料為樣本, 對匯率升貶值之趨勢進行預測。本研究以期間利差作為關鍵解釋變數設立模型。由於期間利差對市場資訊反應極為迅速, 我們預期加入期間利差可以增加模型的解釋能力。為了比較期間利差對於模型解釋能力的影響,我們進一步考慮不放入期間利差的模型。此外我們亦關心期間利差相對於利率所增加的解釋能力,因而進一步建立一個以利率取代期間利差的模型。除了自設模型外, 本文亦使用貨幣模型、購買力平價模型以及考慮利率平滑的泰勒法則模型作為比較。儘管模型對於短期以及長期的匯率趨勢預測, 無法於所有國家皆具最佳的解釋力, 但實證結果顯示, 加入期間利差的模型其整體表現較佳。本文的研究結果可對於未來匯率趨勢的預測提供可靠的參考意見。This paper follows the emprical models from Chen (2011), using monthly data from 12 developed country to predict the swings in exchange rate (major trends in depreciation or appreiation). In our research, term spread is treated as the key variable to construct the empirical model. Because its sensitivity to the market information is quite strong, it would expected to increase the explanatory power of the exchange rate swing. We also consider a model without term spread to compare the marginal effect, and a model with interest rate instead of term spread. In addtion to our model, we also apply monetary model, purchase power parity model and Taylor rule model with interest rate smoothing for robustness. Although our model do not being very suceccful at all horizon on all country, however, our empirical result shows the term spread model performs better on long-horizon forecasting. Out result provides a reliable prediction for future exchange rate trends
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
No full text“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
No full textWe 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
No full textWe 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
- …
