Dr. Ruben Seiberlich
Dr. Ruben Seiberlich
ZHAW
School of Management and Law
St.-Georgen-Platz 2
8400 Winterthur
Work at ZHAW
Position
Academic Director MSc Banking and Finance
Focus
- Statistics and Econometrics
- Risk Management
- Lombard loans / security backed lending
- Semi- and Nonparametric estimation methods
Teaching
Lecturer for (Advanced) Quantitative Methods, Statistics, Mathematics, Financial Instruments & Portfolio Theory, Advanced Quantitative Methods, Risk Management, Structured Products and Derivatives, Research Skills, Advanced Research and Consulting
Experience
- Reviewer for European Journal of Political Economy, Empirical Economics, Journal for Labour Market Research, Comparative Education Review, Journal of Applied Social Science Studies
Various Publishers
01 / 2013 - today - Head Model Performance and Backtesting, Credit Suisse AG
Credit Suisse AG
09 / 2015 - 08 / 2017 - Head Lombard Risk Analyses
Credit Suisse AG
09 / 2013 - 08 / 2015
Education and Continuing education
Education
- PhD in Econometrics / Econometrics
University of Konstanz
2009 - 2013 - MSc Economics
University of Konstanz
2006 - 2009 - MSc Business and Economics Education
University of Konstanz
2003 - 2009
Network
Membership of networks
ORCID digital identifier
Projects
- Quantitative study of real estate agent impact on selling price / Co-project leader / completed
- Measuring the Effectiveness of Case Management using Propensity Score Matching / Project leader / completed
Publications before appointment at the ZHAW
- Pfeiffer, Friedhelm; Seiberlich, Ruben, 2011. Disconnected young adults in Germany: Initial evidence. Journal of Contextual Economics. 131(2), S. 253-262.
- Botezat, Alina; Seiberlich, Ruben, 2013. Educational performance gaps in Eastern Europe. Economics of Transition. 21(4), S. 731-756.
- Gevrek, Eylem; Seiberlich, Ruben, 2014. Semiparametric decomposition of the gender achievement gap: An application for Turkey. Labour Economics. 31, S. 27-44.
- Pohlmeier, Winfried; Seiberlich, Ruben; Uysal, Selver Derya, 2016. A simple and successful shrinkage method for weighting estimators of treatment effects. Computational Statistics & Data Analysis. 100, S. 512-525.