News
2026-05 Inaugural Liechtenstein Workshop on AI in Finance — a success! — The 1st Liechtenstein Workshop on AI in Finance (LW-AIF), founded and convened by Sebastian Stöckl, brought 13 invited papers and international researchers to Vaduz on 6–7 May 2026.
2026-04 Three papers from Uni Liechtenstein at the 5th Frontiers of Factor Investing Conference — Sebastian Stöckl and Gianluca De Nard presented three University of Liechtenstein papers at the 5th Frontiers of Factor Investing Conference at Lancaster University Management School, 15–17 April 2026.
2026-02 3rd Alpine Finance Summit: Call for Papers is open! — The Call for Papers for the 3rd Alpine Finance Summit in Garmisch-Partenkirchen is now open. Submission deadline: March 15, 2026.
Sebastian Stöckl
Sebastian Stöckl

Associate Professor in Financial Economics

I am an Associate Professor in Financial Economics at the University of Liechtenstein. 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 quantitative topics from Research Methods in Finance to Econometrics, to Portfolio Management and Derivatives on all levels (BSc, MSc, PhD, MBA) at multiple institutions. I am also the Academic Head of the Liechtenstein Undergraduate & Graduate School as well as the official representative of the University of Liechtenstein to AACSB.
Interests
  • Uncertainty (Financial, Macroeconomic, Political)
  • Machine Learning
  • Empirical Asset Pricing
  • Asset Management
Education
  • Habilitation, 2024

    University of Liechtenstein

  • PhD Economics, 2015

    University of Innsbruck

  • MSc Business Admin., 2007

    University of Innsbruck

  • MSc Techn. Mathematics, 2007

    University of Innsbruck

My $R$-packages

LogoDescription
crypto2 logomy crypto2-package to retrieve survivorship bias free cryptocurrency data from coinmarketcap.com
ffdownload logomy ffdownload-package to retrieve research data from Kenneth French's famous website
rqmoms logomy rqmoms-package to calculate option-implied moments according to Grigory Vilkovs's python package
Projects
C

Crypto Finance & Infrastructure

Bias-corrected asset pricing, market structure, and banking contagion in cryptocurrency markets — plus the open-source data infrastructure that makes the work possible.

cryptocurrency bitcoin survivorship bias delisting bias contagion crypto2 herding FTX
F

Factor Investing & Factor Timing

Methods for selecting, timing, and combining factors when the zoo is crowded, the cross-section is noisy, and estimation error dominates.

factor investing factor momentum factor timing cross-section international asset pricing machine learning higher moments portfolio optimization
Political Finance

Political Finance

Using market prices to measure how political events and populist electoral shifts are priced into equities, volatility, and cross-country asset returns.

political finance political uncertainty populism event portfolios betting markets elections implied volatility political prediction markets
R

Risk-Adjusted Forecast Performance

Closing the gap between statistical forecast accuracy and the Sharpe ratio investors actually care about.

forecast evaluation portfolio optimization Sharpe ratio estimation error RAFE bias-variance tradeoff mean-variance
Uncertainty & Ambiguity in Finance

Uncertainty & Ambiguity in Finance

Measuring, pricing, and hedging the fact that investors do not know the true distribution of returns.

parameter uncertainty ambiguity aversion financial turbulence event risk uncertainty structural breaks Mahalanobis distance macro-financial uncertainty
I

Investment Management Game (IMAG)

Erasmus+ project (2022–2025) delivering digital finance education through an online investment simulation — the Cesim Invest platform — for schools, universities, and professional training across Europe.

erasmus online courses asset management teaching
Decision Methods and Tools in the Context of Pension Finance

Decision Methods and Tools in the Context of Pension Finance

Developed an R-package and public Shiny app to optimize pension decisions for individuals in Liechtenstein's pension system, using large-scale optimization and machine learning.

FFF pension finance research
Understanding Saving in Europe (USAVE)

Understanding Saving in Europe (USAVE)

Erasmus+ project (2019–2022) developing free online courses and interactive tools for life-cycle investments and personal financial planning — for the general public and higher-education students across Europe.

erasmus online courses household finance
Understanding Pensions in Europe (UNPIE)

Understanding Pensions in Europe (UNPIE)

Erasmus+ project (2016–2019) developing free online courses and interactive tools for pension finance and personal pension planning — for the general public and higher-education students across Europe.

erasmus online courses pension finance

Get in Touch

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Address

Fürst-Franz-Josef-Strasse
Vaduz, 9490
Liechtenstein

Office Hours

Monday 11:00 to 12:00
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