In the case of time-consuming simulation models or other so-called black-box functions, we determine a metamodel which approximates the relation between the input- and output-variables of the simulation model. To solve multi-objective optimization problems, we approximate the Pareto set, i.e....

The theme of this dissertation is to investigate how financial risks can be allocated in a multi-agent and multi-period setting under the economic principle of “Pareto efficiency and financial fairness” (PEFF). The dissertation is a combination of theory and practice and consists of three...

The thesis deals with structural and reduced-form modeling and forecasting of key macroeconomic variables (real growth of GDP, inflation, exchange rate, and policy interest rate). The central part of the thesis (Chapters 2-4) consists of three chapters. Chapter 2 considers the structural DSGE...

The second part of the thesis focuses on a different stochastic problem of finding the optimal hedging points in a manufacturing flow control system. Our simulation-based method allows solving large scale systems that are considered very difficult to solve by current standards in the literature.

This work concerns the theory of limiting experiments and its use in econometrics. In Chapter 2, we consider jump-diffusion models and we compare, by means of the limiting experiment, the statistical information contained in continuous-time observations with that contained in discrete-time...