1,720,961 research outputs found
Volatility shocks in energy commodities: The influence of COVID-19
Get PDFThis study investigates the impact of COVID-19 induced global panic on crude oil and natural gas volatility. The author uses the Structural Vector Auto Regression (SVAR) to examine the magnitude of shocks in global oil and gas prices caused by COVID-19 induced panic between 3rd January 2020 and 30th June 2021. The results show that shocks in oil and gas prices were negative and more severe in the first five (5) months of 2020 when the pandemic was spreading across the globe forcing countries\u27 prices into lockdowns. The negative shocks gradually diminished in the following periods as the prices recovered courtesy of global economic recovery and vaccine rollouts. Furthermore, the panic was more pronounced in causing oil prices shocks as gas prices were already suffering amid mild temperatures during the 2020 winter season. The author stresses the need for swift actions during the early days of the crisis to adjust oil and gas supply to match demand shrinkage so as to stabilize their prices given their enormity to the global economy. The Russia-Saudi Arabia delays in agreeing on oil supply restrictions may have amplified the magnitude of negative shocks in oil prices. Existing studies have examined the country-level impacts of COVID-19 on energy prices focusing mainly on oil. However, oil and gas are among the most traded commodities in the world thus the stability of their prices is of global concern. This study examines this phenomenon on a global scale by utilizing the novel global coronavirus panic index
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
ASSESMENT OF THE EFFECTS OF HOUSE COUNTRY MACROECONOMICS ON PERFORMANCE CROSS LISTED FIRMS IN EAST AFRICA
Get PDFThis study makes assessment of the effects of host country macroeconomic factors on the performance of cross listed firms in East Africa. It uses quarterly time series from March 2010 to December 2020. The study used stock prices of five Kenyan companies that are cross listed in the stock markets of Uganda and Tanzania. The overall model capturing the impact of the macroeconomic factors on the average prices of stocks shows that interest rate exerts positive and significant impact on the stock market performance, while, inflation has negative and significant effects on the stock market performance in both Uganda and Tanzania. GDP is statistically not significant in influencing the stock prices in both countries. On the other hand, the model that captures individual effect provides mixed result in both Uganda and Tanzania, with the negative effect of inflation reported in three firms in Uganda and two firms in Tanzania; while, a positive effect is found in one firm listed in Uganda and two firms listed in Tanzania. Similarly, the effect of interest rate is positive for three firms in both Uganda and Tanzania; and it is negative in one firm listed in both USE and DSE. GDP negatively affect stock prices of two firms in Tanzania and positively affect the prices of one firm in Uganda.
 
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
Determinants of lending behaviour of commercial banks in Tanzania
Get PDFThis paper assesses the determinants of the lending of six commercial banks in Tanzania from 2015 to 2019 using a quantitative research design. The data were collected from Annual Reports of the six commercial banks. The results show that liquidity and capital adequacies have a significant relationship with lending, whereas interest rate and management efficiency have no statistically significant influence on lending. Thus, effective policies should be developed to ensure commercial banks grow and be able to advance more credit. Additionally, the banking sector needs to prioritize increasing the liquidity ratio to ultimately strengthen the bank\u27s financial position. Furthermore, commercial banks should be more innovative in their lending since different sectors present different risk profiles. Lastly, Commercial banks management needs to employ capital growth strategies to enhance the banks’ capital conservation buffer that requires banks to build up extra buffers outside periods of stress
The Nexus Between National Culture and Cryptocurrency Adoption: the Moderating Role of Financial Literacy
No full textCryptocurrencies are increasingly becoming more popular as cheaper, faster and more secure means of transferring money across the globe while offering diversification benefits to investors. This current study explores the effects of national culture on cryptocurrency adoption across 118 countries. We test how each cultural dimension from the Hofstede model affects cryptocurrency adoption. These are power distance, long-term orientation, uncertainty avoidance, individualism and masculinity. We subsequently assess the moderation effects of financial literacy on the linkage between national culture and cryptocurrency adoption. We employ analysis of variance (ANOVA) and stepwise regression estimations to probe into the magnitudes and significance of postulated relationships. Our results firstly indicate significant disparities in cryptocurrency adoption, but only between countries with high and low uncertainty avoidance. The stepwise regression results revealed a strong negative relationship between uncertainty avoidance and cryptocurrency adoption, with other cultural dimensions exhibiting insignificant effects. Moreover, countries with high uncertainty avoidance but whose adults are highly financially literate were seen to be less vulnerable to fears of uncertainties and risks when deciding to adopt cryptocurrencies. Our findings lay a foundation for further theory development and provide practical implications to cryptocurrency entrepreneurs, governments, users and businesses that accept payments in Bitcoin and other cryptocurrencies
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