Both financial and economics problems are more frequently being explored with different
computational techniques. These methods have been proven to be a powerful tool in domains
were analytic solutions are not a good alternative. Problems in real world involve complexity,
noisy environments, imprecision, uncertainty and vagueness. For this reason computational
techniques are needed in order to help solving problems related to these areas. So far it has been
successfully used for estimating econometric parameters, macroeconomics models, replicating
laboratory results with human subjects, searching equilibriums, studying the emergence of the
representative agent and rational expectations, designing public policy, in financial engineering,
risk management, portfolio optimization, industrial organization, auctions, experimental
economics, financial forecasting, market simulation or agent-based computational economics
among many other areas.
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