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Metastable Features of Economic Networks and Responses to Exogenous Shocks

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  • Ali Hosseiny
  • Mohammad Bahrami
  • Antonio Palestrini
  • Mauro Gallegati

Abstract

It has been proved that network structure plays an important role in addressing a collective behaviour. In this paper we consider a network of firms and corporations and study its metastable features in an Ising based model. In our model, we observe that if in a recession the government imposes a demand shock to stimulate the network, metastable features shape its response. Actually we find that there is a minimum bound where demand shocks with a size below it are unable to trigger the market out from recession. We then investigate the impact of network characteristics on this minimum bound. We surprisingly observe that in a Watts-Strogatz network though the minimum bound depends on the average of the degrees, when translated into the economics language, such a bound is independent of the average degrees. This bound is about $0.44 \Delta$GDP, where $\Delta$GDP is the gap of GDP between recession and expansion. We examine our suggestions for the cases of the United States and the European Union in the recent recession, and compare them with the imposed stimulations. While stimulation in the US has been above our threshold, in the EU it has been far below our threshold. Beside providing a minimum bound for a successful stimulation, our study on the metastable features suggests that in the time of crisis there is a "golden time passage" in which the minimum bound for successful stimulation can be much lower. So, our study strongly suggests stimulations to be started within this time passage.

Suggested Citation

  • Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," Papers 1608.00275, arXiv.org.
    • Handle: RePEc:arx:papers:1608.00275
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    Cited by:

    1. Brannan, James, 2019. "On natural slow time rhythms in economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Hosseiny, Ali, 2017. "A geometrical imaging of the real gap between economies of China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 151-161.
    3. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-22, October.
    4. Farideh Oloomi & Amir Kargaran & Ali Hosseiny & Gholamreza Jafari, 2023. "Response of the competitive balance model to the external field," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-17, August.
    5. Ahmad Hajihasani & Ali Namaki & Nazanin Asadi & Reza Tehrani, 2020. "Non-Extensive Value-at-Risk Estimation During Times of Crisis," Papers 2005.09036, arXiv.org, revised Jan 2021.
    6. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    7. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    8. Hosseiny, Ali & Absalan, Mohammadreza & Sherafati, Mohammad & Gallegati, Mauro, 2019. "Hysteresis of economic networks in an XY model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 644-652.

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