Khemka G.,Lim W., and Zagst R.
The Theory of Constant Proportion Performance Participation
Working Paper submitted for publication
2024

Escobar M., Spies B., and Zagst R.
Optimal Consumption and Investment in General Affine GARCH Models
OR Spektrum
2024

Escobar M., Molter M. and Zagst R.
The Power of Derivatives in Portfolio Optimization under Affine GARCH models
Decisions in Economics and Finance
2024

Escobar M., Spies B., and Zagst R.
Mean-Variance Optimization under Affine GARCH: A Utility-Based Solution
Finance Research Letters, accepted for publication
2023

Escobar M., Speck M., and Zagst R.
Bayesian learning in an Affine GARCH model with application to portfolio optimization
Working Paper submitted for publication
2023

Bienek T., Deelstra G., Lichtenstern A. and Zagst R.
A Multi-Curve HJM Factor model for pricing and risk management
Quantitative Finance
2023
Vol. 23
No. 11
1659–1675

Schlick O., Wahl M., and R. Zagst
Dynamische Portfolio-Absicherung mit Frühwarnkomponente
Absolut Report
2023
22
3

Escobar M., Kschonnek M. and Zagst R.
Mind the Cap! - Constrained Portfolio Optimisation in Heston's Stochastic Volatility Model
Quantitative Finance
2023
1-21

Kschonnek M., Dobrovolska I., Protzer U. and Zagst R.
COVIX - An Index Allowing to Assess the Pandemic Situation Based on Infections and Hospitalization Data
Applied Sciences, Vol. 13, No. 7, 4554
2023

Escobar M., Theilacker L. and Zagst R.
Revisiting the 1/N-strategy: a neural network framework for optimal strategies
Decisions in Economics and Finance
2023