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

  • Marco Raberto

    (DIBE-CINEF, University of Genoa)

  • Andrea Teglio

    (DIBE-CINEF, University of Genoa)

  • Silvano Cincotti

    (DIBE- CINEF, University of Genoa)

This paper presents a heterogeneous agent model of a sequential monetary production economy. A deterministic dynamic flow model is employed. The model is characterized by three classes of agents: a single homogeneous representative consumer, heterogeneous firms and a banking sector. 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 production technology but are heterogeneous relative to expected in°ation. Consumers provide labor force and make the decision of consumption and saving of their income. They own all the equities of firms and banks. The banking sector collects consumer savings and provides credit supply to firms. The main result of the model is that real economic variables are strongly affected by the level of credit supply in relation to the level of savings.

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Paper provided by EconWPA in its series Computational Economics with number 0503002.

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Date of creation: 12 Mar 2005
Date of revision:
Handle: RePEc:wpa:wuwpco:0503002
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  1. Bruce C. Greenwald & Joseph E. Stiglitz, 1988. "Financial Market Imperfections and Business Cycles," NBER Working Papers 2494, National Bureau of Economic Research, Inc.
  2. Sydney Ludvigson & Martin Lettau, 1999. "Consumption, aggregate wealth and expected stock returns," Staff Reports 77, Federal Reserve Bank of New York.
  3. Campbell, John, 1987. "Stock Returns and the Term Structure," Scholarly Articles 3207699, Harvard University Department of Economics.
  4. Chen, Nai-Fu, 1991. " Financial Investment Opportunities and the Macroeconomy," Journal of Finance, American Finance Association, vol. 46(2), pages 529-54, June.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Fama, Eugene F, 1990. " Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
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