Complexity in Economics and Finance
Can the complex systems approach be applied to economics and finance as well, and lead to new insights and better economic models and tools? Some applied physicists, mathematicians and economists believe it can, and they increasingly receive the support from economic and financial policy makers. It is time that PhD students, professors, researchers and policy makers in economics and finance become aware of this new approach, and learn how to use these tools in their own work.
The last couple of decades economic teaching and research has moved the field of economics into a single standardized paradigm of rational, self-interested, mostly identical agents, whose behavior is analyzed in equilibrium. While this has fostered communication between economists and led to a surge in our understanding of economic and financial markets, the financial crisis of 2007 and 2008 showed that this analytical approach does not form a panacea to all our economic problems. As Trichet put it, during the financial crisis, central bankers and policy makers “felt abandoned by conventional tools”, as the standard approach was neither able to foresee nor prepared to handle a crisis of this magnitude. It seems that the standard economic approach is ill-suited to handle situations characterized by sudden transitions, crises, or cascading effects.
But what is the alternative? Luckily, while economists moved into a paradigm of static equilibrium behavior of homogeneous agents, other fields, such as physics, biology, ecology and mathematics, have moved into the opposite direction. A new encompassing approach has developed in order to analyze dynamic systems with heterogeneous interacting components, which are characterized by chaotic behavior, networks, sudden regime shifts, cascades and extreme events. This is the complex systems approach. In this approach agents are heterogeneous and boundedly rational. The complex systems view fits very well with behavioral models of macroeconomics and finance.
Can this complex systems approach be applied to economics and finance as well, and lead to new insights and better economic models and tools? Some applied physicists, mathematicians and economists believe it can, and they increasingly receive the support from economic and financial policy makers. It is time that PhD students, professors, researchers and policy makers in economics and finance become aware of this new approach, and learn how to use these tools in their own work.
The objective of the conference is:
The general topic of the three days will be:
Day 1: Financial and Economic Crises
Day 2: Financial and Economic Networks
Day 3: The Economy as a Complex System