Black Rhino - A Financial Network Multi Agent Simulator
black_rhino is an open source easy-to-use-and-adapt financial network multi agent simulation (MAS) that serves two purposes. First, it can be used as a practical tool to simulate and analyse a model banking system. This is particularly handy for central banks and policy makers, as black_rhino fills a gap in the policy-toolbox. Second, and perhaps more importantly, it is a python module that can be easily adapted, changed, and modified for research purposes. It is intended to reduce the amount of work necessary to write a financial MAS and hence allows researchers to focus on the economic questions instead of worrying about code design patterns and basic functionality. The software is open source and published under the GNU GPL v3. You can find the latest version at sourceforge.
2 August 2012

New centre to challenge conventional economic thinking
Felix Reed-Tsochas, James Martin Lecturer in Complex Systems at Saïd Business School, University of Oxford is to head up a new Complexity Economics Programme at INET@Oxford, an interdisciplinary research centre created by the Oxford Martin School in collaboration with the Institute for New Economic Thinking (INET). INET@Oxford was established in the wake of the 2008 financial crisis, and has been launched during a period of sustained turbulence for the Euro zone, expressly in order to challenge conventional economic thinking. Read more.
12 April 2012