Dipl.-Vw. Quant. Fabian H. C. Raters
- Data scientist for computer science, finance and meta research
- Research software engineer with focus on statistics and data analysis
- IT and Stud.IP computer administrator for the chairs of Statistics and Econometrics
- Network administrator for the chairs of Statistics and Econometrics
Research interests
- Financial markets: Financial assets and derivatives trading, agricultural statistics.
- Time series analysis: Autoregressive processes, copula modeling, multivariate volatility models.
- Meta data research: Multivariate statistics, artificial neural networks, data mining, parallelization, big data.
- Software engineering: Analytical software, data acquisition and security, efficient algorithms, versioning.
Articles in peer-reviewed journals
- Panel unit root tests for heteroskedastic panels (with H. Herwartz, S. Maxand and Y. M. Walle), The Stata Journal, 2018, 18(1), 184-196.
- Copula-MGARCH with continuous covariance decomposition (with H. Herwartz), Economics Letters, 2015, 133, 73-76.
Articles in peer-reviewed volumes
- VaR in high dimensional systems (with H. Herwartz and B. Pedrinha), Härdle, W., C. Y. Chen, L. Overbeck (Eds.): Applied Quantitative Finance, 3rd Ed., Springer Verlag, 2017, 3-23.
- Multivariate volatility models (with M. Fengler and H. Herwartz), Härdle, W., C. Y. Chen, L. Overbeck (Eds.): Applied Quantitative Finance, 3rd Ed., Springer Verlag, 2017, 25-37.
Published research software
- collateral: Reproducible, comfortable and fast processing with R (R), project page.
- plaint: Plain Table Markup Language (R), project page.
- xtpurt: Panel unit root tests for heteroskedastic panels (Stata), project page.
Reviewing in journals
- since 07/2014 Refereeing for Computional Statistics.
- since 06/2014 Supporting the Biometrical Journal in replications of articles based on computations with MATLAB.
External lectureships
- Since 2019 Introduction to MATLAB (University of Applied Sciences and Arts, HAWK, Göttingen)
- 2014 WT Scientific Programming (Faculty for Geoscience, Göttingen)
Fields of teaching
- Lecture on Python for Econometrics | PyEcon.org (Master)
- Lectures on Scientific Programming (Bachelor and Master)
- Major Tutorial on Introduction to Econometrics (Obligatory Course, Bachelor)
- Major Tutorial on Econometrics I (Obligatory Course, Master)
- Major Tutorial on Econometrics II (Master)
- Lecture on Introduction to MATLAB Institute for Statistics and Econometrics, CAU Kiel:
- Lecture on Computer-Based Data Analysis (Obligatory Course, Bachelor)
- Tutorial on Methodology of Statistics I und II (Obligatory Course, Bachelor)
- Tutorial on Programming for Economists
Acad. C. V.
- 2015 WT Visiting researcher at the Haas School of Business, Finance Group (Host: Prof. Johan Walden, PhD), University of California, Berkeley.
- Since 2012 Research associate at the Chair of Econometrics (Prof. Dr. Helmut Herwartz), Georg-August-Universität Göttingen.
- 2010 - 2011 Studies with full-year scholarship at the Adam Smith Business School, University of Glasgow, Scotland.
- 2007 - 2012 Student assistant, administrator and tutor at the Institute for Statistics and Econometrics (Prof. Dr. Herwartz and Prof. Dr. Liesenfeld), Christian-Albrechts-Universität zu Kiel.
- 2006 - 2012 Studies "Volkswirtschaftslehre mit Schwerpunkt Quantitative Wirtschaftsforschung" (quantitative economics, Diplom, i. e., M.Sc. equivalent) and minor subject computer science at the Christian-Albrechts-Universität zu Kiel.
Acad. honors
- Visiting Scholarship by the Haas School of Business, UC Berkeley, in 2015
- Deutsche Bank-Prize 2012 for the Best Diplom Thesis ("Adapting to Global Information Flows - Forecasting Financial Market Volatility with Artificial Neural Networks", Grade: 1.0)
- Erich Schneider-Prize 2012 for the Best Diplom (Grade: 1.1)
Acad. memberships
- American Finance Association
- Bundesverband Deutscher Volks- und Betriebswirte (bdvb)
- de-RSE e.V. - Gesellschaft für Forschungssoftware
- Deutsche Gesellschaft für Finanzwirtschaft
- Econometric Society
- Python Software Foundation
- Python Software Verband e.V.
- Verein für Socialpolitik