Objective:

This course examines the intersection between macroeconomics and finance. The first part takes a tour through a selection of articles that survey the various approaches - including the equity premium, consumption based models, general equilibrium models and labor income/idiosyncratic risk approaches. The second part consists of writing a project report within one of the suggested topics, which has to be handed in and approved after a presentation in class. The course combines the participants' prior knowledge of macroeconomics and finance, and is therefore relevant for master students in economics with either focus in macro or finance in the final part of their study program.

Objective:

This course provides a toolbox for solving continuous-time dynamic optimization problems in (stochastic) economic models. In particular, we briefly review optimal control theory and dynamic programming. We then thoroughly study models in continuous time under uncertainty. The optimization problems are illustrated by various examples of continuous-time dynamic stochastic general equilibrium (DSGE) models.

Objective:

This course provides a toolbox for solving dynamic optimization problems in economic models. In particular, we review the mathematical tools required for graduate courses in economics including control theory, and dynamic programming. We then study models in discrete and continuous time. Throughout the course, the optimization problems are illustrated using various examples. A particular focus will be on formulating and solving dynamic models in modern macroeconomics.