Notre thèse explore les facteurs de risque et les modèles des facteurs sur le marché boursier chinois A-share. Notre étude est basée sur le contexte du modèle facteur de Fama-French (FF). Tout d'abord, au chapitre 1, nous réexaminons l'applicabilité du Modèle Fama-French à Trois Facteurs (FF3F) et du dernier Modèle Fama-French à Cinq Facteurs (FF5F), compte tenu de plusieurs caractéristiques spéciales du marché boursier chinois. Les résultats empiriques montrent que le Modèle FF3F peut expliquer la majorité des variations de séries chronologiques des rentabilités des actions chinoises A-share. Au cours de la période d'échantillonnage, le marché bêta et le facteur SMB sont des déterminants importants pour expliquer la variation transversale des rentabilités des actions, cependant nous ne trouvons aucune prime de valeur. D’après la comparaison des performances des modèles FF3F et FF5F en présence de facteurs de rentabilité et d'investissement, le Modèle FF5F ne semble pas capturer plus de variations de rentabilités espérées que le modèle à trois facteurs, à l'exception des six portefeuilles pondérées en valeurs qui formés à partir de la taille et de la rentabilité opérationnelle.Dans le chapitre 2, nous examinons si les facteurs FF, SMB et HML, sont des proxys d'innovations de variables d'état sélectionnées (rendement de dividende agrégée, taux de T-bonds en un mois, l’écart de terme et l’écart de défaut) qui décrivent, sur la période recherche, les opportunités futures d'investissement sur le marché boursier chinois A-share. Les régressions chronologiques et les régressions des séries transversales sont réalisées sur cinq modèles comparatifs en utilisant l'approche à deux étapes Fama-MacBeth. Les facteurs FF ne perdent pas leur pouvoir explicatif, avec ou sans la présence des innovations des quatre variables d’états sélectionnées, à la fois dans les examens de séries chronologiques et les examens transversaux. Nous trouvons que l'information contenue dans l'innovation de rendements de dividende agrégés semble totalement capturée par la combinaison du marché bêta et du facteur de taille. Les facteurs FF ont pu jouer un rôle limité de capturer d'opportunités d'investissement alternatives représentées par les innovations des quatre variables d'état sélectionnées.Dans le chapitre 3, nous étudions si les facteurs FF sont des proxys de facteurs de risque de détresse et si différentes méthodes de construction des facteurs entraînent des résultats différents. Les résultats empiriques suggèrent qu'il n'y a pas de preuve significative que les facteurs FF représentent un risque de détresse sur le marché boursier chinois A-share. En comparant les résultats des régressions des séries chronologiques à partir de deux méthodes différentes, la performance du facteur de risque de détresse basé sur le DLI semble légèrement meilleure que celui basé sur le O-score. Cependant, le facteur de risque de détresse n'est pas un déterminant important des rentabilités transversales moyennes, et les facteurs FF ne peuvent pas représenter le facteur de risque de détresse dans la section transversale du marché boursier chinois A-share. / This dissertation is to explore the risk factors and factor models on Chinese A-share stock market based on the context of Fama-French (FF) factor model. First of all, chapter 1 re-examines the applicability of Fama-French Three-Factor (FF3F) Model and the latest Fama-French Five-Factor (FF5F) Model considering several special features of Chinese stock market. FF3F Model can explain a majority of time-series variation of the Chinese A-share stock returns. The market beta and SMB are important determinants in explaining the cross-sectional variation in the average stock returns over the sample period; however, we find no value premium. Comparing the performance of both FF3F Model and FF5F Model on Chinese A-share stock market, in the presence of profitability and investment factors, FF5F Model seems not capture more variations of expected stock returns than the three-factor model except the six value-weighted portfolios formed on size and operating profitability.Chapter 2 examines whether FF factors SMB and HML proxy for the innovations of selected state variables (aggregate dividend yield, one-month T-bill rate, term spread and default spread) that describe future investment opportunities on Chinese A-share stock market during the research period. Both time-series and cross-sectional regressions are performed on five comparative models using Fama-MacBeth two-stage approach. FF factors don’t lose their explanatory power with or without the presence of the innovations of selected four state variables in both the time-series and cross-sectional examinations. We find that the information contained in innovation of aggregate dividend yields seems totally captured by the combination of market beta and size factor. FF factors might have played a limited role in capturing alternative investment opportunities proxied by innovations of the selected four state variables.Chapter 3 investigates whether FF factors proxy for distress risk factor and whether different methods of constructing factors result in the different outcomes. The empirical results suggest that there is no significant evidence that FF factors are proxying for distress risk on Chinese A-share stock market. Comparing the time-series regression results by using two different methods, the distress risk factor constructed based on DLI seems to perform slightly better than that constructed based on O-score in capturing time-series average returns. However, the distress risk factor is not an important determinant of cross-sectional average returns, and FF factors cannot proxy as distress risk factor in the cross-section on Chinese A-share stock market.

<p>Social engineering attacks, especially trust exploitation, have become a focus of attention</p> <p>for cybercriminals attempting to manipulate or deceive users to take actions that further</p> <p>expose their vulnerabilities. This has also become a budding field for researchers as these</p> <p>interactions are based on complex social equations that are constantly taken advantage of.</p> <p>Identifying the "weakest link" is a popular method of identifying how these exploits take</p> <p>place, generally by observing when individuals fall for a social engineering attack. However,</p> <p>valuable insights may be used to harden security by observing patterns in users resistant</p> <p>or vigilant to these attacks. Primarily, this trend may be discovered in resistant users’</p> <p>personality traits. This has been found to be a more accurate indicator of behavior than</p> <p>self-reported intentions. Survey responses (n=120) indicate correlations between high test</p> <p>scores in trust exploitation exercises and Conscientiousness in the Big 5 Personality Model</p> <p>(p<0.001). No significant correlation was seen between self-reported cybersecurity habits</p> <p>and actual security behavior.</p>

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How can an experience have such an impact that it can be described with the words “wow effect”? Though not a scientific term, it is often used vividly in the business world as an aspirational goal. The purpose of this thesis was to explore the structure behind positive experiences that lead to a so-called “wow effect” by combining cognitive theories and consumption-based emotion theories to create a method for assessing satisfaction in postpurchase experience. In collaboration with the Volvo Car Corporation, this thesis aimed to identify the relevant antecedents for such a possible experience and create a method for measuring it. The automobiles product category has shown high levels of variation in affect (Oliver, 1993) and as such, it has become increasingly important for automobile companies to be able to identify relevant antecedents of positive affect.

Master’s thesis evaluates financial situation of the company FATRA, a. s. within the period of years 2006 and 2010, by selected indicators of financial analysis. Mostly it deals with usage of elemental method’s indicators of financial analysis. It analyzes problems and proposes possible solutions, which will lead to the improvement of the company financial situation in the future.

Gamification is a modern concept that makes physical and digital activities engaging and enjoyable just like games. Game elements are added to mobile applications for user retention and engagement. One of the dark sides of gamification i.e., addiction is explored in this novel study in the context of mobile application design. It uses a mixed-method approach to lay the foundation of the relation between gamification and Smartphone Addiction, which is critically explained in a limited literature review using existing theories and studies on gamification. Interviews with behavioral experts confirm the psychological aspects of the research. The study also identifies game elements that contribute to smartphone addiction by a survey analysis of 269 participants. Results reveal Scrolling and Tapping as most addictive game elements. Some elements also show a statistically significant relationship with daily smartphone usage in hours. There are many effective applications of gamification, and in the context of mobile application design, it indeed helps to increase user engagement, however, there is an ethical need to reflect on what the exaggerated form of this engagement can lead to. As future research, a longitudinal study and experiments are suggested to find out this relationship with the use of empirical data.

Text in Afrikaans / The goal of the research is to explore the personality profile of aggressive victims of bullying in a special school. Qualitative, applied research of an explorative and descriptive nature was followed. In order to address the problem, namely that the personality profile of children can lead to aggressive victims, the researcher undertook a literature study to describe bullying in middle childhood with the focus on aggressive victims, the Five Factor Model of Personality, bullying in special schools and organismic selfregulation within Gestalt therapy. The researcher's knowledge of the Five Factor Model of Personality enabled her to compile the interview schedules for the semi-structured interviews. Purposeful sampling was conducted to identify respondents for the interviews. The interviews were conducted with four aggressive victims of bullying, their parents, as well as their class teachers. During the analysis of data, themes were identified. These themes were verified with literature and recommendations were made. / Social work / M.Diac.(Play therapy)

Text in Afrikaans / The goal of the research is to explore the personality profile of aggressive victims of bullying in a special school. Qualitative, applied research of an explorative and descriptive nature was followed. In order to address the problem, namely that the personality profile of children can lead to aggressive victims, the researcher undertook a literature study to describe bullying in middle childhood with the focus on aggressive victims, the Five Factor Model of Personality, bullying in special schools and organismic selfregulation within Gestalt therapy. The researcher's knowledge of the Five Factor Model of Personality enabled her to compile the interview schedules for the semi-structured interviews. Purposeful sampling was conducted to identify respondents for the interviews. The interviews were conducted with four aggressive victims of bullying, their parents, as well as their class teachers. During the analysis of data, themes were identified. These themes were verified with literature and recommendations were made. / Social work / M.Diac.(Play therapy)