research

ACE Research @ CCFEA

• CF research
• HFF research

Computational Economics is geared toward Agent Based Computational Economics (ACE), Computational Mechanism Design and Markets as Complex Adaptive Systems. ACE includes the use of artificially intelligent agents in the study of self-organising systems, the design of real time trading, risk and market-based institutions. This also has the potential to provide policy makers and financial institutions with a powerful interactive tool to find answers for 'what-if' questions and to do 'wind tunnel tests' for market and policy design. (Summary; see some simulators )

research results

• CCFEA working paper series
• New IPSS by Jacob Krafft (August 2007) .
• Sheri Markose presentation at Prime Minister Strategy Unit on Agent Based Computational Economics (ACE): Applications to Economic Modelling, Market and Policy Design. This give a good introduction to ACE.  (Presentation | Summary).
• Sheri Markose presentation of Smart Market Modelling for Congestion Pricing at the Treasury and Dft (TreasurySMPRT.ppt | Paper | Smart Market Simulator).
• Endogenous Risk Black Wednesday (Presentation)
• The Herding and Networks Simulator
  The Herding and Networks Simulator was developed at CCFEA by Sheri Markose and Amadeo Alentorn (Presentation (2007)).
• Dynamic Learning, Herding and Guru Effects in Networks
  Sheri Markose, Amadeo Alentorn and Andreas Krause, September 2004. The paper is also an Economics Department Working Paper (No. 582).
• The Interbank Large Value Payments Settlement Simulator (IPSS)
  The IPSS is part of an ongoing project with researchers at the Bank of England, Steven Millard and Jing Yang. It is being developed at CCFEA by Sheri Markose and Amadeo Alentorn.