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Contributions published at Quantitative Business Administration

Contribution
Nikolija Grahovac, Value-at-Risk-basierte Portfolioselektion, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Giselbrecht Sibyl, Mean-Variance Portfolio-Selection under Additional Linear Constraints and Tobin Separation Theorem, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Melanie Kuhn, Risk-Contribution Ansätze zur Portfolioselektion, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Markendorf Enrico, Portfolio-Selektion durch Maximierung des Performancemasses Omega, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Marko Stankovic, Der Safety-First-Ansatz von Telser zur Portfolio-Selektion, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Frédéric Meyer, The Interaction of Weather and Corn Prices, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Gültekin Yilmaz, Analyse von Zuschauerverhalten, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Alena Miftakhova, Uncertainty quantification and global sensitivity analysis in integrated assessment modeling, In: EAERE-ETH European Winter School on Uncertainty and Dynamics in Environmental Economic Modeling. 2018. (Conference Presentation) null
Marco Geiger, An Econometric Analysis of the Global Forest Cover Loss with a Focus on the Real Exchange Rate, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master's Thesis) null
Nicola Alessio Möbius, Central Bank Digital Currencies Strategies for implementation, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master's Thesis) null
Berger Patrick, Zyklen und deren Determinaten als Einflussfaktoren für Immobilienpreise in der Schweiz und im Kanton Zürich, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis) null
Brusa David, Currency Hedging at Sensirion AG, A Case Study for Optimized Hedging Decisions, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master's Thesis) null
Harry J Paarsch, Karl Schmedders, Introduction: Einführung, Jahrbücher für Nationalökonomie und Statistik = Journal of Economics and Statistics, Vol. 238 (3-4), 2018. (Journal Article) By making gathering large samples of data (Big Data) almost trivial, the Information Revolution has changed fundamentally how many scientists now conduct empirical research. The explosion in the variety and volume of information that is Big Data has in many cases altered both the questions asked and how those questions are answered. In this special issue devoted to Big Data, we have collected five papers from the social sciences, particularly economics, but business as well. The main goal of the issue is to introduce economists to the different ways that Big Data can and have been used in business and economic research, in the hope that this will spur additional innovative research in those fields.
Julia Krieg, Winning in Swiss Federal Supreme Court A Statistical Analysis of the Prospects of Success of Appeals Concerning Withholding Taxes and Value Addes Taxes, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Bachelor's Thesis) null
Scheib Aaron, Analysis of recent Trends displayed by Tropical Cyclones and Hurricanes, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Master's Thesis) null
Wei Guo, Machine Learning Approach to Detect Stock Return Anomalies, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Master's Thesis) null
Grégoire Buntschu, The Impact of Swiss Supreme Court Legislation on Taxation, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Master's Thesis) null
De Haas Alex, Portfolio Optimization with Market Impact Costs, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Master's Thesis) null
José Parra Moyano, Omri Ross, KYC Optimization Using Distributed Ledger Technology, Business & Information Systems Engineering, Vol. 59 (6), 2017. (Journal Article) The know-your-customer (KYC) due diligence process is outdated and generates costs of up to USD 500 million per year per bank. The authors propose a new system, based on distributed ledger technology (DLT), that reduces the costs of the core KYC verification process for financial institutions and improves the customer experience. In the proposed system, the core KYC verification process is only conducted once for each customer, regardless of the number of financial institutions with which that customer intends to work. Thanks to DLT, the result of the core KYC verification can be securely shared by customers with all the financial institutions that they intend to work with. This system allows for efficiency gains, cost reduction, improved customer experience, and increased transparency throughout the process of onboarding a customer.
Mollet Pascal, Absatzprognosen als proaktiver Erfolgsfaktor für die Optimierung des Bestellprozesses - Theorie und Praxis im Vergleich, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Master's Thesis) null

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