Die Bewertung von Kreditgarantien mittels Hyperoptionen. - Edwin O. Fischer; Christian Keber; Dietmar G. Maringer (OR Spectr., 2000)

Optimization of cardinality constrained portfolios with a hybrid local search algorithm. - Dietmar Maringer; Hans Kellerer (OR Spectr., 2003)

Finding the relevant risk factors for asset pricing. - Dietmar G. Maringer (Comput. Stat. Data Anal., 2004)

Distribution assumptions and risk constraints in portfolio optimization. - Dietmar G. Maringer (Comput. Manag. Sci., 2005)

Convergence of GARCH Estimators: Theory and Empirical Evidence. - Dietmar Maringer; Peter Winker (JCIS, 2006)

Lower bounds and stochastic optimization algorithms for uniform designs with three or four levels. - Kai-Tai Fang; Dietmar Maringer; Yu Tang; Peter Winker (Math. Comput., 2006)

Index tracking with constrained portfolios. - Dietmar Maringer; Olufemi Oyewumi (Intell. Syst. Account. Finance Manag., 2007)

Genetic Programming in Statistical Arbitrage. - Philip Saks; Dietmar Maringer (EvoWorkshops, 2008)

Heuristic Optimization for Portfolio Management [Application Notes]. - Dietmar Maringer (IEEE Comput. Intell. Mag., 2008)

Constrained Index Tracking under Loss Aversion Using Differential Evolution. - Dietmar Maringer (Natural Computing in Computational Finance, 2008)

Evolutionary Money Management. - Philip Saks; Dietmar Maringer (EvoWorkshops, 2009)

The convergence of estimators based on heuristics: theory and application to a GARCH model. - Peter Winker; Dietmar Maringer (Comput. Stat., 2009)

Global optimization of higher order moments in portfolio selection. - Dietmar Maringer; Panos Parpas (J. Glob. Optim., 2009)

MOEA/D with NBI-style Tchebycheff approach for portfolio management. - Qingfu Zhang 001; Hui Li 020; Dietmar Maringer; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

Threshold Recurrent Reinforcement Learning Model for Automated Trading. - Dietmar Maringer; Tikesh Ramtohul (EvoApplications (2), 2010)

GP-based rebalancing triggers for the CPPI. - Dietmar Maringer; Tikesh Ramtohul (CIFEr, 2011)

Distributing weights under hierarchical clustering: A way in reducing performance breakdown. - Jin Zhang; Dietmar Maringer (Expert Syst. Appl., 2011)

Regime-switching recurrent reinforcement learning for investment decision making. - Dietmar Maringer; Tikesh Ramtohul (Comput. Manag. Sci., 2012)

The 3rd Special Issue on Optimization Heuristics in Estimation and Modelling Problems. - Dietmar Maringer; Sandra Paterlini; Peter Winker (Comput. Stat. Data Anal., 2012)

Natural Computing in Computational Finance (Volume 4): Introduction. - Anthony Brabazon; Michael O'Neill 001; Dietmar Maringer (Natural Computing in Computational Finance (4), 2012)

Regime-Switching Recurrent Reinforcement Learning in Automated Trading. - Dietmar Maringer; Tikesh Ramtohul (Natural Computing in Computational Finance (4), 2012)

Portfolio optimization under market impact costs. - Christian Oesch; Dietmar Maringer (IEEE Congress on Evolutionary Computation, 2013)

Indicator selection for daily equity trading with recurrent reinforcement learning. - Jin Zhang; Dietmar Maringer (GECCO (Companion), 2013)

Two parameter update schemes for recurrent reinforcement learning. - Jin Zhang; Dietmar Maringer (IEEE Congress on Evolutionary Computation, 2014)

Transition variable selection for regime switching recurrent reinforcement learning. - Dietmar Maringer; Jin Zhang (CIFEr, 2014)

A Neutral Mutation Operator in Grammatical Evolution. - Christian Oesch; Dietmar Maringer (IEEE Conf. on Intelligent Systems (1), 2014)

Selecting and estimating interest rate models with evolutionary methods. - Dietmar Maringer; Sebastian H. M. Deininger (Evol. Intell., 2016)

Applying Sentiment Analysis, Topic Modeling, and XGBoost to Classify Implied Volatility. - Farshid Balaneji; Dietmar Maringer (CIFEr, 2022)

State-ANFIS: A Generalized Regime-Switching Model for Financial Modeling. - Gregor Lenhard; Dietmar Maringer (CIFEr, 2022)

Constructing banking networks under decreasing costs of link formation. - Dietmar Maringer; Ben Craig; Sandra Paterlini (Comput. Manag. Sci., 2022)

The Power of Words: Predicting Stock Market Returns with Fine-Grained Sentiment Analysis and XGBoost. - Farshid Balaneji; Dietmar Maringer; Irena Spasic (IntelliSys (1), 2023)