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Multi-agent modeling and simulation of a sequential monetary production economy

  • Marco Raberto
  • Silvano Cincotti

In this paper, we propose a heterogeneous interacting agent model of a sequential monetary production economy. We use a basic dynamic flow model in an interacting agent context. The economy is assumed to be closed. There are three classes of agents: a single homogeneous representative consumer, heterogeneous firms and a banking system. Bounded rationality agents make decisions by optimizing an objective function based on expectations about the future formed on past data. There are three asset classes (or debts): a single homogeneous physical good, money and debt securities. The homogeneous commodity is produced by firms and, if saved, increases their capital stock. Firms issue debts to finance growth. Firms are homogeneous as regarding marginal costs of production but are heterogeneous relative to their objective functions. Firms make different investment decisions that can ultimately result in the firm's growth or bankruptcy. The income of the homogeneous consumer depends on wage earnings, interest on debt securities and firms profit. Consumers spend their income to purchase consumption goods and corporate debt; money is also considered a reserve of value. Portfolio allocation depends on the interest rate. The money supply is exogenous and is the main control parameter of the system. The model is able to reproduce endogenous large scale economic fluctuations by means of the interplay between money supply and the interactions of heterogeneous agents.

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2004 with number 260.

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Date of creation: 11 Aug 2004
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Handle: RePEc:sce:scecf4:260
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  1. Martin Lettau, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, 06.
  2. Chen, Nai-Fu, 1991. " Financial Investment Opportunities and the Macroeconomy," Journal of Finance, American Finance Association, vol. 46(2), pages 529-54, June.
  3. Marco Raberto & Silvano Cincott & Sergio M. Focardi & Michele Marchesi, 2002. "Traders’ long-run wealth in an artificial financial market," Computing in Economics and Finance 2002 301, Society for Computational Economics.
  4. Greenwald, Bruce C & Stiglitz, Joseph E, 1993. "Financial Market Imperfections and Business Cycles," The Quarterly Journal of Economics, MIT Press, vol. 108(1), pages 77-114, February.
  5. Campbell, John Y., 1987. "Stock returns and the term structure," Journal of Financial Economics, Elsevier, vol. 18(2), pages 373-399, June.
  6. Ferson, Wayne E & Harvey, Campbell R, 1993. "The Risk and Predictability of International Equity Returns," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 527-66.
  7. Fama, Eugene F, 1990. " Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
  8. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.
  9. Delli Gatti, Domenico & Gallegati, Mauro & Giulioni, Gianfranco & Palestrini, Antonio, 2003. "Financial fragility, patterns of firms' entry and exit and aggregate dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 79-97, May.
  10. Nasseh, Alireza & Strauss, Jack, 2000. "Stock prices and domestic and international macroeconomic activity: a cointegration approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(2), pages 229-245.
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