Financial Fragility, Mean-Field Interaction and Macroeconomic Dynamics: A Stochastic Model

30 Pages Posted: 27 Aug 2008

See all articles by Corrado Di Guilmi

Corrado Di Guilmi

University of Technology Sydney (UTS) - UTS Business School; Australian National University (ANU) - Centre for Applied Macroeconomic Analysis (CAMA); Kobe University - Center for Computational Science

Mauro Gallegati

Polytechnic University of Marche - Faculty of Economics

Simone Landini

IRES Piemonte, Socio-Economic Research Institute of Piedmont

Date Written: June 9, 2008

Abstract

The links between aggregate financial indicators and business fluctuations have been widely addressed in literature while the same interest has not been devoted to the role of microeconomic financial variables in determining macroeconomic results. One of the causes may be individuated in the lack of suitable analytical tools. Firms are different each other as regards, at least, financial structure and size. Therefore, their responses to shocks come out to be different and asymmetric. Moreover, firms are reciprocally linked, and their diverse reactions influence the whole system at micro, macro and meso level. The uncertainty about the final outcome is amplified by feedback effects from aggregate level to firms. In this work we model an economic system populated by heterogeneous firms that, reacting to stochastic shocks to maximize their profit, modify the ratio among liabilities and equities. These variations influence the financial environment and the demography of firms population, endogenously generating business fluctuations. Using a stochastic aggregation method we define a system of coupled dynamic equations that describe long run path and cycles of aggregate output.

Keywords: business cycles, heterogeneity, financial fragility, stochastic aggregation

JEL Classification: E1, E6

Suggested Citation

Di Guilmi, Corrado and Gallegati, Mauro and Landini, Simone, Financial Fragility, Mean-Field Interaction and Macroeconomic Dynamics: A Stochastic Model (June 9, 2008). Available at SSRN: https://ssrn.com/abstract=1258542 or http://dx.doi.org/10.2139/ssrn.1258542

Corrado Di Guilmi (Contact Author)

University of Technology Sydney (UTS) - UTS Business School ( email )

Sydney
Australia

Australian National University (ANU) - Centre for Applied Macroeconomic Analysis (CAMA) ( email )

Kobe University - Center for Computational Science ( email )

Mauro Gallegati

Polytechnic University of Marche - Faculty of Economics ( email )

Piazzale Martelli, 8
60121 Ancona
Italy
++390712207188 (Phone)
++390712207102 (Fax)

Simone Landini

IRES Piemonte, Socio-Economic Research Institute of Piedmont ( email )

Via Nizza 18
Turin, Turin 10125
Italy
+390116666404 (Phone)
+390116666469 (Fax)

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
119
Abstract Views
940
Rank
422,206
PlumX Metrics