Adaptive Information Systems and Modelling in Economics and Management Science

Introduction: General scientific concept: aims of SFB 010.- Modeling Consumer Behavior: Basic Concepts and a Discrete-Time Model; A Continuous-Time ACM Model and Experiment; Capturing Unobserved Consumer Heterogeneity Using the Bayesian Heterogeneity Model.- Modeling Financial Markets: Non-linear Volatility Modeling in Classical and Bayesian Frameworks with Applications to Risk Management; Expectation Formation and Learning in Adaptive Capital Market Models.- Agent-Based Simulation Models: The Artificial Economy: A Generic Simulation Environment for Heterogeneous Agents; Disruptive Technologies: the Threat and its Defense; Agent-Based Simulation of Power Markets; A Simulation Model of Coupled Consumer and Financial Markets; Product Diversification in an Artificial Strategy Environment.- Statistical Modeling and Software Development: Parameter Estimation and Forecasting under Asymmetric Loss; Identification of multivariate state-space systems; Factor Models for Multivariate Time Series; Detecting Longitudinal Heterogeneity in Generalized Linear Models; Ensemble Methods for Cluster Analysis; Open and Extensible Software for Data Analysis in Management Science.