Advise on market development and behaviour
In the Complexity and Economic Behaviour track you will study economic theory, and learn about the complex calculations that govern today's advanced market configurations and pricing structures. Our teaching staff has a high regard for critical thought, so expect challenging discussions and a steep learning curve.
- Gain deep insight into the behaviour of companies, governments, financial traders and private consumers in different market circumstances and dynamics.
- Acquire the skills necessary for mathematical and statistical modelling.
- Become an expert in the mechanics that channel contemporary auctioning and model dynamic economic behaviour.
Why choose the Complexity and Economic Behaviour track?
- Focus on calculations of market behaviour and modelling, beside the 4 general courses of the MSc Econometrics.
- You will be lectured by professors and experts working in a wide range of economic organisations and fields. Therefore, you have access to up-to-date cases and learnings from the field of econometrics and economic behaviour.
- After graduation, you have an excellent job prospect at e.g. private organisations, financial organisations or multinationals.
Apart from the 4 general courses of the full programme, you will follow 5 track-specific courses and electives.
Complex Economic Dynamics
In this course you will analyse non-linear dynamical systems with applications in economics and financial markets.
- Mathematical modelling and analysis of complex nonlinear dynamic phenomena.
- Application of complexity modelling to economics and finance.
- Computer simulations of periodic and chaotic solutions and interpretation of the numerical results.
- Critical evaluation of literature on economic dynamics, in particular on behavioural models with boundedly rational agents.
Mandatory electives, semester 1
Choose 1 out of 2 courses:
- Asset pricing
- Machine Learning for Econometrics
Economic and Financial Network Analysis
Network analysis helps to put structure in complex big data sets from social networking sites and financial data. In this course you will get thorough training in network analysis. You will cover network theory, simulation and empirics from an economic and from a data science point of view.
Behavioural Macro and Finance
Economic theory assumes that agents (households and firms) are perfectly rational in making their decisions. However, this assumption is often too demanding. In this course you will focuses on the analysis of behavioural models in macroeconomics and finance with agents who are not fully rational, but behave more in accordance with experimental evidence.
Mandatory electives, semester 2
Choose 1 out of 5 courses:
- Economics of Environmental Tipping Points
- Financial Econometrics
- Quantitative Models in Online Marketing
- Stochastic Calculus
Analyse a proposed new model of research funding distribution from a game theoretical point of view. Rather than applying for grants through writing research proposals, peers can distribute the funding freely among themselves. The main point of concern is that researchers will conspire and form a coalition to improve their own funding. Show that the game is indeed vulnerable to coalitions in general.
Examples of relevant issues that could be discussed in your classroom.
- Bounded rationality, behavioural macro, behavioural finance: study different learning and evolutionary models.
- Network analysis: analysing data from social networking sites and financial data. For instance, fake news, polarisation, and the role of social networks.
- Environmental economics: study tipping events that are associated to pollution or resource overuse and that can have profound implications on ecosystems, and even on the global climate.