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Agent-based financial markets and New Keynesian macroeconomics: a synthesis

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  • Matthias Lengnick

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  • Hans-Werner Wohltmann

Abstract

We combine a simple agent-based model of financial markets and a New Keynesian macroeconomic model with bounded rationality via two straightforward channels. The result is a macroeconomic model that allows for the endogenous development of business cycles and stock price bubbles. We show that market sentiments exert important influence on the macroeconomy: Impulse-response functions of macroeconomic variables become more volatile which makes the effect of a given shock hard to predict. We also analyze the impact of different types of financial transaction taxes that are currently debated among policy makers (FTT, FAT, progressive FAT) and find that such taxes are well suited to stabilize the economy and raise funds from the financial sector as a contribution to the enormous costs created during the recent crisis. Our simulations suggest that the FTT leads to higher tax revenues and better stabilization results then the FAT. However, the FTT might also create huge distortion if set too high, a threat which the FAT does not imply. Copyright Springer-Verlag 2013

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Bibliographic Info

Article provided by Springer in its journal Journal of Economic Interaction and Coordination.

Volume (Year): 8 (2013)
Issue (Month): 1 (April)
Pages: 1-32

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Handle: RePEc:spr:jeicoo:v:8:y:2013:i:1:p:1-32

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Keywords: Agent-based modeling; Stock market; New Keynesian macroeconomics; Financial transaction tax; Financial activities tax; E0; E62; G01; G18;

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  1. ABM+NKDSGE=?
    by Economic Logician in Economic Logic on 2010-12-27 15:42:00
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Cited by:
  1. Ahmad Naimzada & Marina Pireddu, 2014. "Real and financial interacting oscillators: a behavioral macro-model with animal spirits," Working Papers 268, University of Milano-Bicocca, Department of Economics, revised Feb 2014.
  2. Chen, Shu-Heng & Chang, Chia-Ling & Tseng, Yi-Heng, 2014. "Social networks, social interaction and macroeconomic dynamics: How much could Ernst Ising help DSGE?," Research in International Business and Finance, Elsevier, vol. 30(C), pages 312-335.
  3. Alessandro Spelta & Guido Ascari & Nicolò Pecora, 2012. "Boom and Burst in Housing Market with Heterogeneous Agents," Quaderni di Dipartimento 177, University of Pavia, Department of Economics and Quantitative Methods.
  4. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
  5. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of animal spirits in a bounded rationality model: An application to the euro area," Economics Working Papers 2012-12, Christian-Albrechts-University of Kiel, Department of Economics.
  6. Westerhoff, Frank, 2011. "Interactions between the real economy and the stock market," BERG Working Paper Series 84, Bamberg University, Bamberg Economic Research Group.
  7. Scheffknecht, Lukas & Geiger, Felix, 2011. "A behavioral macroeconomic model with endogenous boom-bust cycles and leverage dynamcis," FZID Discussion Papers 37-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  8. Totzek, Alexander, 2011. "Banks, oligopolistic competition, and the business cycle: A new financial accelerator approach," Economics Working Papers 2011,02, Christian-Albrechts-University of Kiel, Department of Economics.
  9. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, debt and market structure in an agent-based model of the financial market," ZEW Discussion Papers 12-045, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  10. Chang, Chia-ling & Chen, Shu-heng, 2011. "Interactions in DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics Discussion Papers 2011-25, Kiel Institute for the World Economy.
  11. Chen, Shu-heng & Chang, Chia-ling, 2012. "Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 6(26), pages 1-32.
  12. De Grauwe, Paul & Rovira Kaltwasser, Pablo, 2012. "Animal spirits in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1176-1192.
  13. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
  14. Ahmad Naimzada & Marina Pireddu, 2013. "Dynamic behavior of real and stock markets with a varying degree of interaction," Working Papers 245, University of Milano-Bicocca, Department of Economics, revised Jun 2013.
  15. Nicolò Pecora & Alessandro Spelta, 2013. "Macroeconomic Stability and Heterogeneous Expectations," DEM Working Papers Series 037, University of Pavia, Department of Economics and Management.

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