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J. Arifovic, “Genetic Algorithm Learning in the Cobweb Model,” Journal of Economic Dynamics and Control, Vol. 18, 1994, pp. 3-28. doi:10.1016/0165-1889(94)90067-1

has been cited by the following article:

• TITLE: Investment Reluctance in Supply Chains: An Agent-Based Real Options Approach

  AUTHORS: Alfons Balmann, Karin Kataria, Oliver Musshoff

  KEYWORDS: Real Options; Supply Chain; Agent-Based Models; Genetic Algorithms

  JOURNAL NAME: Journal of Mathematical Finance, Vol.3 No.2A, April 29, 2013

  ABSTRACT: This paper shows how agent-based stochastic approaches can provide a complementary and more flexible approach to study investment incentives and price dynamics in a real options framework. We particularly study the case of two-stage production chains in which one sector produces an intermediate product and the other the final product, and the intermediate product is traded on the spot market. An agent-based competitive model using a genetic algorithm allows us to explicitly model the behaviors and interactions of the firms competing in each subsector and trading the intermediate product with each other on a spot market, and optimal investment strategies can be identified.