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Dynamic behavior of product and stock markets with a varying degree of interaction

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  • Naimzada, Ahmad
  • Pireddu, Marina

Abstract

We develop a macroeconomic behavioral model in order to analyze the interactions between product and financial markets. The real subsystem is represented by a simple Keynesian income–expenditure model, while the financial subsystem is represented by an equilibrium stock market with heterogeneous speculators, i.e., chartists and fundamentalists. The interactions between the two markets are modeled in the following way: the aggregate demand depends, among other variables, also on the stock market price, while the fundamental value used by speculators in their decisional process depends on the real sector economic conditions. In our model we introduce a parameter that represents the degree of interaction. With the aid of analytical and numerical tools we show that an increasing degree of interaction between markets tends to locally stabilize the system. This stabilization occurs via a sequence of period-halving bifurcations. Globally, we find that the stabilization process implies multistability, i.e., the coexistence of different kinds of attractors.

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  • Naimzada, Ahmad & Pireddu, Marina, 2014. "Dynamic behavior of product and stock markets with a varying degree of interaction," Economic Modelling, Elsevier, vol. 41(C), pages 191-197.
    • Handle: RePEc:eee:ecmode:v:41:y:2014:i:c:p:191-197
    DOI: 10.1016/j.econmod.2014.05.014
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    References listed on IDEAS

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    1. Day, Richard H. & Huang, Weihong, 1990. "Bulls, bears and market sheep," Journal of Economic Behavior & Organization, Elsevier, vol. 14(3), pages 299-329, December.
    2. Ahmad Naimzada & Marina Pireddu, 2013. "Dynamics in a nonlinear Keynesian good market model," Working Papers 254, University of Milano-Bicocca, Department of Economics, revised Sep 2013.
    3. Matthias Lengnick & Hans-Werner Wohltmann, 2013. "Agent-based financial markets and New Keynesian macroeconomics: a synthesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 1-32, April.
    4. Hommes,Cars, 2015. "Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems," Cambridge Books, Cambridge University Press, number 9781107564978, September.
    5. Guirao, Juan L.G. & García‐Rubio, Raquel & Vera, Juan A., 2012. "On the dynamics of an inflation IS‐LM model," Economic Modelling, Elsevier, vol. 29(6), pages 2090-2094.
    6. Westerhoff, Frank & Wieland, Cristian, 2010. "A behavioral cobweb-like commodity market model with heterogeneous speculators," Economic Modelling, Elsevier, vol. 27(5), pages 1136-1143, September.
    7. Charpe, Matthieu & Flaschel, Peter & Hartmann, Florian & Proaño, Christian, 2011. "Stabilizing an unstable economy: Fiscal and monetary policy, stocks, and the term structure of interest rates," Economic Modelling, Elsevier, vol. 28(5), pages 2129-2136, September.
    8. 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).
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    Cited by:

    1. Serena Sordi & Marwil J. Dávila-Fernández, 2020. "Investment behaviour and “bull & bear” dynamics: modelling real and stock market interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 867-897, October.
    2. Fausto Cavalli & Ahmad Naimzada & Nicol`o Pecora & Marina Pireddu, 2018. "Agents' beliefs and economic regimes polarization in interacting markets," Papers 1805.00387, arXiv.org.
    3. Fausto Cavalli & Ahmad Naimzada & Marina Pireddu, 2015. "Effects of Size, Composition, and Evolutionary Pressure in Heterogeneous Cournot Oligopolies with Best Response Decisional Mechanisms," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-17, May.
    4. Naimzada, Ahmad & Pireddu, Marina, 2015. "Real and financial interacting markets: A behavioral macro-model," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 111-131.
    5. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    6. Michele Gori & Giorgio Ricchiuti, 2018. "A dynamic exchange rate model with heterogeneous agents," Journal of Evolutionary Economics, Springer, vol. 28(2), pages 399-415, April.
    7. Cavalli, Fausto & Naimzada, Ahmad & Pireddu, Marina, 2015. "Heterogeneity and the (de)stabilizing role of rationality," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 226-244.
    8. Ahmad Naimzada & Marina Pireddu, 2023. "Dynamic approaches for the evaluation of the environmental policy efficacy in a nonlinear Cournot duopoly with differentiated goods and emission charges," Working Papers 517, University of Milano-Bicocca, Department of Economics.
    9. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    10. Alexey Vasilenko, 2017. "Should Monetary Authorities Prick Asset Price Bubbles? Evidence from a New Keynesian Model with an Agent-Based Financial Market," HSE Working papers WP BRP 182/EC/2017, National Research University Higher School of Economics.

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