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    Psychological factors and price movements in financial markets: an analysis using the fear & greed index

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    Magistrska naloga analizira vpliv psiholoških dejavnikov na gibanje cen na finančnih trgih, pri čemer je osrednji analitični okvir indeks strahu in pohlepa (Fear & Greed Index – FGI). Delo združuje teoretične osnove psihologije odločanja z vedenjsko ekonomijo, pri čemer izpostavlja vlogo čustev kot pomembnega, a pogosto spregledanega dejavnika pri investicijskih odločitvah. Teoretični del obravnava povezavo med čustvi in kognicijo, vedenjske anomalije, kot so učinek lastništva, pristranskost statusa quo in strah pred izgubo, ter psihologijo naložbenega procesa. Empirični del temelji na statistični analizi povezave med indeksom strahu in pohlepa ter vrednostmi glavnih ameriških borznih indeksov (S&P 500, Dow Jones, Nasdaq, NYSE Composite) in ceno kriptovalute Bitcoin. Uporabljene so metode deskriptivne statistike, Spearmanove korelacije ter neparametrični testi (Kruskal-Wallis, Dunn-Bonferroni). Rezultati potrjujejo obstoj statistično značilne povezave med indeksom strahu in pohlepa in gibanjem delniških indeksov ter razlike v povprečni ceni Bitcoina med različnimi obdobji razpoloženja na trgu (strah, nevtralnost, pohlep). Naloga ugotavlja, da so razpoloženje vlagateljev in širše čustveno stanje na trgu pomembna napovednika kratkoročnih tržnih gibanj. Ugotovitve prispevajo k boljšemu razumevanju psiholoških vplivov na finančne trge ter predstavljajo podlago za oblikovanje učinkovitejših strategij upravljanja tveganj in naložbenega odločanja.The master\u27s thesis analyzes the impact of psychological factors on price movements in financial markets, with the Fear & Greed Index (FGI) serving as the central analytical framework. The study combines theoretical foundations from decision psychology and behavioral economics, emphasizing the role of emotions as a significant yet often overlooked factor in investment decision-making. The theoretical part explores the connection between emotions and cognition, behavioral anomalies such as the endowment effect, status quo bias, and loss aversion, as well as the psychology of the investment process. The empirical part is based on statistical analysis of the relationship between the Fear & Greed Index and the values of major U.S. stock indices (S&P 500, Dow Jones, Nasdaq, NYSE Composite) and the price of Bitcoin. Methods employed include descriptive statistics, Spearman’s rank correlation, and non-parametric tests (Kruskal-Wallis, Dunn-Bonferroni). The results confirm a statistically significant relationship between the Fear & Greed Index and stock market movements, as well as differences in the average price of Bitcoin across various market sentiment periods (fear, neutrality, greed). The thesis concludes that investor sentiment and the broader emotional climate of the market are important predictors of short-term market dynamics. The findings contribute to a deeper understanding of psychological influences on financial markets and offer a foundation for developing more effective trading strategies and risk management approaches

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Introduction of online access to Arcont´s PDM system

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    Količina podatkov v proizvodnih podjetjih zaradi digitalizacije narašča, zaradi česar se veča tudi pomembnost sistemov za upravljanje s temi podatki. Digitalizacija tovrstnih postopkov prispeva k izboljšani učinkovitosti poslovanja, hkrati pa ugodno vpliva na naravo, saj je poraba papirja manjša. Diplomska naloga, narejena v sodelovanju s podjetjem Arcont, se osredotoča na organizacijo in predstavitev proizvodnih informacij in pojasnjuje nekatere temeljne vidike upravljanja z življenjskim ciklom izdelka. V prvem delu so predstavljene teoretične osnove tehnično informacijskih sistemov, njihove funkcionalnosti in koristi, v drugem delu pa je predstavljena uporaba orodja Active Workspace v procesih podjetja.The amount of data in manufacturing companies is growing from year to year, which also increases the importance of systems that enable efficient management of this data. Digitalization of such processes significantly contributes to improved business efficiency, but also has beneficial effect on nature, as paper consumption is lower. The diploma paper, done in collaboration with Arcont, focuses on these new technologies and explains some of its fundamental aspects. The first part presents the theoretical foundations of technical information systems, their functionalities, and benefits, and the second part focuses more on the practical aspect, i.e., the use of Active Workspace in company processes

    Variations on the Author

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    “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

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    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

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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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