Abstract
We propose a restatement of a simulating model based on artificial agents (BankNet), designed to incorporate some relevant stylized facts (transaction costs, economies of scale, bounded rationalityrationality, heterogeneity and strategical interaction) in a financial network where operations of deposit and credit continually take place BankNet develops, cycle after cycle, a non-intentional credit system in an absolutely decentralized way, excluding any form of conjecturable constructive programmes. The continuing interaction among the agents is the evolutive engine, which, “from the bottom-up” makes it possible for the system to evolve over time through a selecting mechanism.
I am really grateful to Professor Pietro Terna for his constant help during the elaboration of this work. I’d like to thank Wolfang De Martino and Alessio Fancetta for their accurate work on the text. Many thanks to Alessandro Perrone who read a draft version of the document and provided his great skill and care in preparing the final LATEX version of this document
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References
Askenazy M. (1996), “Some notes on the BankNet model”, Santa Fe Institute
Baltensperger E. (1980), “Alternative approaches to the theory of the Banking Firm”, in Journal of Monetary Economics, vol. 6
Beltratti A., Margarita S., Terna P., (1996), “Neural Networks for Eco-nomic and Financial Modelling”, London, ITCP
Coase R. H. (1937), “The Nature of the Firm”, in Economica, n. 4, pp. 386–405
Diamond D.W. (1984), “Financial intermediation and delegated monit-oring”, in Review of Economic Studies, n. 51, pp. 393–414
Fama E. (1985), “What’s different about Banks?”, in Journal of Eco-nomics, n. 15, pp. 29–39
Fisher I. (1930), “The theory of interest”, New York, MacMillan
Gurley, Shaw (1960), “Money in a theory of finance”, Washington, The Brooking Institution Press
Epstein M.E., Axtell R. (1996), “Growing Artificial Societies - Social science from the bottom up”, Washington: Brooking Institution Press, Cambridge (MA): MIT Press
Heffernan S. (1996),“Modern banking in theory and in practice”, London, John Wiley and sons
Minar M., Burkhart R., Langton C., Askenazy M. (1996), “The Swarm simulation system: a toolkit for building multi - agent simulations”, Santa Fe Institute
Santomero A. (1984), “Modeling the banking firm”, in Journal of Money Credit and Banking, vol. 16
Stiglitz J.E., Weiss A. (1981), “Credit rating in market with imperfect information”, in American Economic Review, vol 71, June, pp. 393–410
Stiglitz J.E., Weiss A. (1988), “Banks as social accounts and screening devices for the allocation of credit”, in National Bureau of Economic Research Working Paper n. 2710
Terna P. (1998), “Simulation tools for social scientists: building agent based models with Swarm”, in Journal of Artificial Societies and Social Simulation, vol.l, n. 2, <http://www.soc.surrey.ac.uk/JASSS/1/2/4.html>
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Sapienza, M.D. (2000). An Experimental Approach to the Study of Banking Intermediation: The Banknet Simulator. In: Luna, F., Stefansson, B. (eds) Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming. Advances in Computational Economics, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4641-2_6
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DOI: https://doi.org/10.1007/978-1-4615-4641-2_6
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