Seminar für Finanzökonometrie
print


Navigationspfad


Inhaltsbereich
Christoph Berninger

Dr. Christoph Berninger

Research Interests

  • Time Series Analysis
  • Zinsmodelle (insbesondere Short-Rate Modelle)
  • Deep Learning (insbesondere angewendet auf Zeitreihendaten)
Publications and Preprints
  • C. Berninger, J. Pfeiffer. The Gauss2++ model: a comparison of different measure change specifications for a consistent risk neutral and real world calibration [European Actuarial Journal, 2021].
  • C. Berninger, A. Stöcker, D. Rügamer. A Bayesian Time-Varying Autoregressive Model for Improved Short- and Long-Term Prediction [Preprint, 2020]
  • C. Berninger, S. Mittnik. A Risk-Adjusted Investment Strategy in Context of Risk-Sharing Pension Plans


Teaching

SoSe 2021 Statistik IV
WiSe 20/21 Financial Econometrics
SoSe 2020 Matlab for Finance
WiSe 19/20 Finanzökonometrisches Seminar für MA-Studierende
SoSe 2019 Risk Management
WiSe 18/19 Portfolio Management
SoSe 2018 Risk Management, Finanzökonometrisches Seminar
WiSe 17/18 Portfolio Analysis
SoSe 2017 Risk Management
WiSe 17/18 Portfolio Analysis, Finanzökonometrisches Seminar

Thesis Supervisions

2021 An Extended Hull-White Model with an Interest Rate Floor: Theory and Implementation
2020 Vergleich zweier Anlagestrategien: Risikobasiert vs. Buy-and-Hold
2020 Bewertung des Marktrisikos mit Hilfe ausgewählter GARCH-Modelle
2019 A Comparison of Forecasting Models for the Term Structure of Interest Rates
2018 Performance and Interpretability of Machine Learning Algorithms for Credit Risk Modelling
2018 Anwendung der Extremwerttheorie zur Schätzung des Value at Risks und des Expected Shorfalls

Supervision Seminar and Statistical Consulting

Comparison of methods for the valuation of basket options
Support Vector Machines applied to financial data
Modelling interest rates with LSTM networks
Testing the the randomness of pseudo random numbers
Factor Models and PCA
Linear univariate time series models
...