@inproceedings{29840,
  abstract     = {{Due to the proliferation of Virtual Reality (VR) technology, VR is finding new applications in various domains, such as stock trading. Here, traders invest in stocks intending to increase their profit. For this purpose, in conventional stock trading, traders usually make use of 2D applications on desktop or laptop devices. This leads to many drawbacks such as poor visibility due to limited 2D representation, complex interaction due to indirect interaction via mouse and keyboard, or restricted support for collaboration between traders. To overcome these issues, we have developed a novel collaborative, virtual environment for stock trading, which enables stock traders to view financial information and trade stocks with other collaborators. The main results of a usability study indicate that the VR environment, compared to conventional stock trading, shows no significant advantages concerning efficiency and effectiveness, however, we could observe an increased user satisfaction and better collaboration.}},
  author       = {{Yigitbas, Enes and Gottschalk, Sebastian and Nowosad, Alexander and Engels, Gregor}},
  booktitle    = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}},
  keywords     = {{virtual reality, stock trading, collaboration, usability}},
  location     = {{Nuremberg}},
  publisher    = {{AIS}},
  title        = {{{Development and Evaluation of a Collaborative Stock Trading Environment in Virtual Reality}}},
  year         = {{2022}},
}

@article{16249,
  abstract     = {{Timing plays a crucial role in the context of information security investments. We regard timing in two dimensions, namely the time of announcement in relation to the time of investment and the time of announcement in relation to the time of a fundamental security incident. The financial value of information security investments is assessed by examining the relationship between the investment announcements and their stock market reaction focusing on the two time dimensions. Using an event study methodology, we found that both dimensions influence the stock market return of the investing organization. Our results indicate that (1) after fundamental security incidents in a given industry, the stock price will react more positively to a firm’s announcement of actual information security investments than to announcements of the intention to invest; (2) the stock price will react more positively to a firm’s announcements of the intention to invest after the fundamental security incident compared to before; and (3) the stock price will react more positively to a firm’s announcements of actual information security investments after the fundamental security incident compared to before. Overall, the lowest abnormal return can be expected when the intention to invest is announced before a fundamental information security incident and the highest return when actual investing after a fundamental information security incident in the respective industry.}},
  author       = {{Szubartowicz, Eva and Schryen, Guido}},
  journal      = {{Journal of Information System Security}},
  keywords     = {{Event Study, Information Security, Investment Announcements, Stock Price Reaction, Value of Information Security Investments}},
  number       = {{1}},
  pages        = {{3 -- 31}},
  publisher    = {{Information Institute Publishing, Washington DC, USA}},
  title        = {{{Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements}}},
  volume       = {{16}},
  year         = {{2020}},
}

@article{5130,
  abstract     = {{Unternehmen, die regelmäßig ihr Geschäftsfeldportfolio durch aktives M&A-Geschäft in Form von
Verkäufen und Käufen steuern, erzielen deutlich bessere Ein- und Zweijahresrenditen für Aktionäre
als alternative M&A-Strategien. Ursächlich hierfür ist u.a., dass die bekannten Effekte in Form von
Abschlägen für z.B. diversifizierende Transaktionen oder Stock-Deals deutlich geringer ausfallen als
bei Vergleichsgruppen wie z.B. One-Time-Deal Unternehmen.
Dieser Beitrag analysiert die Gründe für den Erfolg von Portfoliomastern, Unternehmen die mehr
als vier Deals in fünf Jahren durchführen. Durch ein professionalisiertes M&A-Management grenzen
sie sich positiv in ihrer mittel- und langfristigen Renditeentwicklung gegenüber Strategic-Shiftern
(zwei bis vier Deals) und One-Timern ab. Ihr Erfolg beruht darauf sowohl bei diversifizierenden
als auch Stock-Deals bekannte übliche Performanceabschläge zu vermeiden und auch in volatilen
Markphasen wertschaffende Deals umzusetzen.}},
  author       = {{Sievers, Sönke and Mehring, Oliver and Keienburg, Georg and Kengelbach, Jens}},
  journal      = {{Corporate Finance (VHB-JOURQUAL 4 Ranking C)}},
  keywords     = {{M&A, Erfolgsfaktoren, Transaktionsanzahl, Diversifizierung, Volatilität, Cash-Deals, Stock-Deals, Portfoliomaster}},
  number       = {{9}},
  pages        = {{283--290}},
  publisher    = {{Corporate Finance}},
  title        = {{{Erfolgsfaktoren bei Mergers and Acquisitions – Warum schaffen Portfoliomaster mehr Value Added?}}},
  volume       = {{81}},
  year         = {{2016}},
}

@article{5193,
  abstract     = {{We study the predictive ability of individual analyst target price changes for post-event abnormal stock returns within each recommendation category. Although prior studies generally demonstrate the investment value of target prices, we find that target price changes do not cause abnormal returns within each recommendation level. Instead, contradictory analyst signals (e.g., strong buy reiterations with large target price decreases) neutralize each other, whereas confirmatory signals reinforce each other. Further, our analysis reveals that large target price downgrades can be explained by preceding stock price decreases. However, upgrades are not preceded by stock price increases, thereby demonstrating asymmetric analyst behavior when adjusting target prices to stock prices. Our results suggest that investors should treat recommendations with caution when they are issued with large contradictory target price changes. Thus, instead of blindly following a recommendation, investors might put more weight on the change in the corresponding target price and consider transaction costs.}},
  author       = {{Kanne, Stefan and Klobucnik, Jan and Kreutzmann, Daniel and Sievers, Sönke}},
  journal      = {{Financial Markets and Portfolio Management (VHB-JOURQUAL 3 Ranking C)}},
  keywords     = {{Analyst recommendation, Target price, Stock performance, Trading strategy}},
  number       = {{4}},
  pages        = {{405--428}},
  publisher    = {{Springer}},
  title        = {{{To buy or not to buy? The value of contradictory analyst signals}}},
  doi          = {{10.1007/s11408-012-0196-z}},
  volume       = {{26}},
  year         = {{2012}},
}

@inproceedings{9742,
  abstract     = {{New mechatronic systems, called self-optimizing systems, are able to adapt their behavior according to environmental, user and system specific influences. Self-optimizing systems are complex and due to their non-deterministic behavior comprise hidden risks, which cannot be foreseen in the design phase of the system. Therefore, this paper presents modifications of the current condition monitoring policy, to be able to cope with this new kind of systems. Beside avoiding critical situations evoked by self-optimization, the proposed concept uses self-optimization to increase the dependability of the system. In this case, the concept is applied to the active guidance module of an innovative rail-bound vehicle.}},
  author       = {{Sondermann-Wölke, Christoph and Sextro, Walter}},
  booktitle    = {{Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:}},
  keywords     = {{condition monitoring, mechatronic systems, rail bound vehicle, rail guidance module, self-optimization, self-optimizing function modules, condition monitoring, mechatronics, railway rolling stock, self-adjusting systems}},
  pages        = {{15 --20}},
  title        = {{{Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules}}},
  doi          = {{10.1109/ComputationWorld.2009.47}},
  year         = {{2009}},
}