Daniel Hribal, Wie Nudging Konsumenten dabei hilft, falsche oder richtige Entscheidungen zu treffen, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
|
|
Megha Madan, Einkaufsverhalten verstehen: Was sind Treiber von Store Choice, Store Switching und Warenkorbgrösse?, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Luc Kaufmann, One-Size-Fits-All vs. Personalisierung: Ein Vergleich verschiedener Preissetzungs- und Promotionsstrategien, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Larissa Amman, Wenn die Grosszügigkeit von Firmen ausgenutzt wird - äussere Einflüsse auf das Fehlverhalten von Kunden, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Amil Elezi, Disruptive Veränderungen im Handel – Chancen, Herausforderungen und Barrieren der Digitalisierung, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Yves Reust, Showrooming – Chance oder Risiko für den Handel?, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Nadine Weibel, Partizipative Preismechanismen – Stand der Forschung und aktuelle Entwicklungen, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Andreas Kamber, Referenzpreise – Stand der Forschung und aktuelle Entwicklungen, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
David Gugler, The Implementation of Downside Risk in the Equity Portfolio Optimization and its Performance on the Swiss Stock Market, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
|
|
Marius Fricker, Get Involved in Banking: Simulation einer Bankwirtschaft im Kredit- und Einlagenmarkt, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
 Christian Killer, Security Management and Visualization in a Blockchain-based Collaborative Defense, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
The increasing amount of Distributed Denial of Service (DDoS) attacks leads to a growing research and development interest in DDoS defense systems. One approach to fend off DDoS attacks is decentralized systems that require the collaboration among different Autonomous Systems (ASes). BloSS is a multi-domain, blockchain-based, cooperative DDoS defense system, where each autonomous system (AS) is taking part in the defense alliance. Each AS is able to exchange attack information about ongoing attacks via the Ethereum blockchain. The current implementation of BloSS is not interactive or visualized and DDoS mitigation is automated. However, in real world defense systems, a human cyber security analyst decides whether a DDoS threat should be mitigated or not. This work defines the design of a security management tool for BloSS, designed for the interactive use by cyber security analysts. In this context, this work defines workflows with meaningful state management that enables a multi-component architecture to serve an interactive dashboard to the security analyst. Three components form the final architecture with bloss-core, bloss-node and bloss-dashboard.
The bloss-core component manages the underlying networking infrastructure and communicates with bloss-node. The bloss-node component is a server component taking care of state management and multiple communication tasks with both the front-end component bloss-dashboard, but also the bloss-core. The front-end component is a web single-page application (SPA) that displays the on-going processes and enables a human cyber security analyst to react on an individual threat level. This work enables the interaction of cyber security analysts with the BloSS, but also enables the interaction among different ASes, forming a dynamic collaborative defense system. |
|
Freddy Panakkal, Sind für relative Performancemessungen (RPE) selbstgewählte Peergruppen einem Marktindex überlegen? Eine empirische Analyse, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
|
|
Manuel Trbovic, Tesla’s Stock: An Event Case Analysis, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
The automotive pioneer Tesla revolutionised the way consumers perceived electric cars and forced the whole industry to face the upcoming electric vehicles revolution, influencing major carmakers to develop serious commitment with related projects in the short- to mid-term horizon. Thus, Tesla played a fundamental role in bringing to light products that not only appeal to a broad segment of people, but that also minimise the adverse impact on the environment. At the same time, despite several consecutive quarterly losses, Tesla has achieved a market capitalisation, which sizeable growth in valuation has overcome the ones of major long-established car manufacturers in the automotive industry. In light of this information, this study seeks to respond to the core research question, namely: “How can exceptional performance of Tesla’s stock be explained?”
Presenting an up-to-date overview of the context that emerges from a multitude of studies, the analysis encompasses the comparison between Tesla and traditional players in the car industry, the event analysis of Tesla’s stock which is compared to major carmakers by means of abnormal returns, in order to unveil the significance of the effect that news stories might exert on valuation changes and explain the market discrepancies within the automotive sector, in relation to investors’ sentiment. Therefore, linking the qualitative and quantitative research methodologies and identifying the broader context in order to explain Tesla’s market capitalisation.
The findings illustrate that the consolidation of a multitude of elements can clarify the rare circumstances under which Tesla has been able to achieve enormous fame from entering successfully the highly competitive automotive industry as a start-up only 15 years ago and overcoming long-time established car manufacturers in the market valuation comparison. Possible forthcoming disruptive scenarios with disparate prospects, offer incommensurable opportunities that extend far beyond the sole car business as of today. At this conjecture, Tesla’s market capitalisation is primarily justified through the information that is available to the public eye and being gathered via open source capabilities, thus investors being able to anticipate those scenarios and market conditions in which the company might benefit from its business model and the competitive and technological advantages in the long run, when compared to traditional car companies. Consequently, it is fair to assess that the findings might further the depth and totality of a particular phenomenon capable of assisting the formation of guidelines, and provide information regarding the present situation. Hence, this study might underpin the basis for progression towards key findings and object of recommendations for further research. |
|
Francesco Demajo, Between Ego and Success: Naming the Company after Yourself as the Ultimate Naming Strategy?, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
Based mainly on the paper “Eponymous Entrepreneurs” (Belenzon, Chatterji and Daley 2017a), this work deals with the relationship between naming a company after its respective owner (a process or strategy which is called “eponymy”) and its profitability in emerging markets.
Contrary to the findings of the above-mentioned paper, the author of this thesis was not able to identify a positive link between eponymy and a firm’s performance in a dataset of Western European companies. Given a sample of more than 30’000 companies from 24 emerging countries, and after taking several empirical models into account, this work concludes eponymy seems, in general, not to have an influence on a company’s profitability in emerging countries. Under some circumstances, the financial performance may even be significant and negative for companies named after their founders, with -2.7% of Return on Equity. These results may be influenced by the composition of the dataset: 80% of the analyzed companies in the sample originated from just three countries and almost all of these firms are private ones which generally affects the transparency of the available financial information on these organizations. Nevertheless, the signaling model presented in the reference paper, according to which eponymy should signal the superior quality of a company’s products or services to customers by risking the respective owner’s own reputation, may not apply to a highly uncertain environment, such as can be currently found in emerging economies. Informational asymmetries seem to be just too high to overcome, even by a naming strategy that usually should help in being able to do so. |
|
Gabriel Haselbach, Fama-French factors in Switzerland, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
|
|
Ardi Imeri, Risikoprofilierung bei Robo-Advisors und Banken im Vergleich, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Kamel Khaled, The Effect of the ACE Tax Reform on Banks' Capital Structure. An Example from Austria, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
|
|
Thomas Julian Richter, Trading, Liquidity and Regulation in Sovereign Bond Markets, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Dissertation)
|
|
Nadia Pally, Finanzinnovationen und ihre Rolle in ausgewählten Finanzkrisen, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|
Markus Geissler, Equity Valuation Using Multiples - Performance Analysis of Selected Stocks, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
|
|