1,720,955 research outputs found
An Analysis of Behavioural Biases in Investment Decision-Making
No full textThe conduct of individual investors is heavily influenced by a variety of biases that have been emphasised in the growing field of behaviour finance. As a result, this research is part of a larger effort to evaluate the impact of behavioural biases on investment decision-making on the National Stock Exchange. A questionnaire is created, and 243 investors\u27 responses are gathered using survey responses. Inferential statistics and descriptive statistics were used in this study. Overconfidence, anchoring, disposition effect, and herding behaviour are the four behavioural biases examined in the current study. Overconfidence and herding bias have a considerable favourable impact on investment decisions, according to the findings. Overall, the findings show that individual investors have little expertise and are more likely to make psychological mistakes. Individual investment decisions are influenced by biases. Financial intermediaries will benefit from this research
VALUE-AT-RISK WITH TIME VARYING VOLATILITY AND ITS APPLICATION BASED ON EGARCH MODEL
No full textThis study examines the influence of the current global financial crisis on the market risk exposure of investments in the Indian stock market. Market risk is quantified using the value-at-risk method (VaR). This risk management metric, which financial organizations commonly use, determines the most significant loss that may occur over a specified trading time with a specified level of confidence. Due to the well-documented time-varying volatility of financial time series, standard techniques of calculating VaR frequently underestimate the magnitude of portfolio losses, particularly during periods of high volatility. We use anEGARCH formulation to enhance the volatility forecasts and hence the VaR estimations. VaR is then calculated many times during the out-of-sample period. The results indicate that this method of calculating VaR is more accurate at capturing the real impact of market risk across a range of volatility situations
A STUDY OF OUTBOUND TOURISM FROM INDIA
No full textIndia is currently a net exporter of tourism but this trend is expected to change in the near future. Very soon India would join the league of countries whose growth of outbound tourism would be greater than that of inbound tourism, thereby becoming a net importer of tourism. There are several reasons for the growth of outbound tourism including increase in the standard of living of Indians. While inbound tourism is a source of foreign exchange and a positive stroke for Gross Domestic Product (GDP), employment and tax revenue, outbound tourism is a form of import and its effect on the country is largely in the opposite direction. Though this is the situation outbound tourism from India is a topic that is extremely under researched. Hence an attempt is made here to understand the trend of outbound tourism based on the official statistics of Indian National Departures (INDs) from India during the period 2001-2020. It throws light on the top destination countries of Indian nationals and also the main purpose of their visit
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
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