I am currently a tenure-tracked Assistant Professor in Financial Economics at the University of Liechtenstein. I received my Ph.D. in Economics from the University of Innsbruck and also am the holder of two graduate degrees in Business Administration and Technical Mathematics, both also from the University of Innsbruck.
My research interest covers all areas of uncertainty, e.g. (i) parameter uncertainty, (ii) financial uncertainty, (iii) macroeconomic uncertainty and (iv) political uncertainty and I have published several papers on these topics in Finance and Economics Journals.
My teaching spans topics from Research Methods in Finance to Econometrics, to Portfolio Management and Financial Analysis or Derivatives and ranges from Bachelor to PhD level courses and executive education (MBA, EMBA) at the University of Liechtenstein and the MCI Innsbruck. Additionally I am the project coordinator/leader for two Erasmus+ projects where we develop online courses in the field of Life-Cycle Planing and Pension Finance, as well as the Innosuisse project ‘An ESG-based Investment Case for Absolute Return Funds’.
Since mid 2022 I am the Academic Head of the Liechtenstein Undergraduate & Graduate School as well as the official representative of the University of Liechtenstein to AACSB.
R
-packagesLogo | Description |
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my crypto2 -package to retrieve survivorship bias free crypto currency data from https://coinmarketcap.com | |
my ffdownload -package to retrieve research data from Kenneth French’s famous website |
Selected publications
Preprint PDF Cite DOI JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION Macroeconomic Analysis & International Finance 2020 European Public Choice Society 2019 Public Choice Workshop 2019 (Pamplona) Wifo (Vienna)
Preprint PDF Cite DOI REVIEW OF FINANCIAL ECONOMICS SGF 2017
PDF Cite Dataset DOI JOURNAL OF BANKING AND FINANCE Quantitative Methods in Finance 2019
Selected Working Papers
Overview In this project we developed an R-package (available through github at https://github.com/sstoeckl/pensionfinanceLi) to optimize decisions individuals in Liechtenstein’s pension system have to take. The package contains several optimizers as well as a documentation (available through vignette("model") once the package is installed).