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The Financial Instability Hypothesis: A Stochastic Microfoundation Framework

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Abstract

This paper examines the dynamics of financial distress and in particular the mechanism of transmission of shocks from the financial sector to the real economy. The analysis is performed by representing the linkages between microeconomic financial variables and the aggregate performance of the economy by means of a microfounded model with firms that have heterogeneous capital structures. The model is solved both numerically and analytically, by means of a stochastic approximation that is able to replicate quite well the numerical solution. These methodologies, by overcoming the restrictions imposed by the traditional microfounded approach, enable us to provide some insights into the stabilization policies which may be effective in a financially fragile system.

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  • Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    • Handle: RePEc:uts:rpaper:273
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    1. Lance Taylor & Stephen A. O'Connell, 1985. "A Minsky Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(Supplemen), pages 871-885.
    2. Domenico Delli Gatti & Mauro Gallegati & Hyman P. Minsky, 1994. "Financial Institutions, Economic Policy, and the Dynamic Behavior of the Economy," Economics Working Paper Archive wp_126, Levy Economics Institute.
    3. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Stewart C. Myers & Nicholas S. Majluf, 1984. "Corporate Financing and Investment Decisions When Firms Have InformationThat Investors Do Not Have," NBER Working Papers 1396, National Bureau of Economic Research, Inc.
    5. Myers, Stewart C. & Majluf, Nicholas S., 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Journal of Financial Economics, Elsevier, vol. 13(2), pages 187-221, June.
    6. repec:ebl:ecbull:v:28:y:2007:i:29:p:a0 is not listed on IDEAS
    7. Giuseppe Fontana, 2003. "Post Keynesian Approaches to Endogenous Money: A time framework explanation," Review of Political Economy, Taylor & Francis Journals, vol. 15(3), pages 291-314.
    8. Javier Suarez & Oren Sussman, 2007. "Financial distress, bankruptcy law and the business cycle," Annals of Finance, Springer, vol. 3(1), pages 5-35, January.
    9. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 215-268, November.
    10. Hens, Thorsten & Schenk-Hoppe, Klaus Reiner (ed.), 2009. "Handbook of Financial Markets: Dynamics and Evolution," Elsevier Monographs, Elsevier, edition 1, number 9780123742582.
    11. L. Randall Wray & Eric Tymoigne, 2009. "Macroeconomics Meets Hyman P. Minsky: The Financial Theory of Investment," Palgrave Macmillan Books, in: Giuseppe Fontana & Mark Setterfield (ed.), Macroeconomic Theory and Macroeconomic Pedagogy, chapter 12, pages 234-251, Palgrave Macmillan.
    12. Gilberto Tadeu Lima & Antonio J. A. Meirelles, 2007. "Macrodynamics of debt regimes, financial instability and growth," Cambridge Journal of Economics, Oxford University Press, vol. 31(4), pages 563-580, July.
    13. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    14. Aoki,Masanao & Yoshikawa,Hiroshi, 2011. "Reconstructing Macroeconomics," Cambridge Books, Cambridge University Press, number 9781107634206.
    15. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    16. Neri Salvadori (ed.), 2010. "Institutional and Social Dynamics of Growth and Distribution," Books, Edward Elgar Publishing, number 13365.
    17. Marc Jarsulic, 1989. "Endogenous Credit and Endogenous Business Cycles," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 12(1), pages 35-48, September.
    18. Chiarella, Carl & He, Xue-Zhong, 2003. "Dynamics of beliefs and learning under aL-processes -- the heterogeneous case," Journal of Economic Dynamics and Control, Elsevier, vol. 27(3), pages 503-531, January.
    19. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    20. Corrado Di Guilmi & Edoardo Gaffeo & Mauro Gallegati & Antonio Palestrini, 2004. "International evidence on business cycle magnitude dependence," Papers cond-mat/0401495, arXiv.org.
    21. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    22. Gallegati, M. & Palestrini, A., 2010. "The complex behavior of firms' size dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 69-76, July.
    23. Urban Jermann & Vincenzo Quadrini, 2012. "Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(1), pages 238-271, February.
    24. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    25. Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2008. "Time variation of higher moments in a financial market with heterogeneous agents: An analytical approach," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 101-136, January.
    26. Di Guilmi, C. & Gaffeo, E. & Gallegati, M. & Palestrini, A., 2005. "International Evidence on Business Cycle Magnitude Dependence: An Analyisis of 16 Industrialized Countries, 1881-2000," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 5-16.
    27. Aoki,Masanao, 1998. "New Approaches to Macroeconomic Modeling," Cambridge Books, Cambridge University Press, number 9780521637695.
    28. Steve Keen, 1995. "Finance and Economic Breakdown: Modeling Minsky’s “Financial Instability Hypothesis”," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 17(4), pages 607-635, July.
    29. Bruce C. Greenwald & Joseph E. Stiglitz, 1990. "Macroeconomic Models with Equity and Credit Rationing," NBER Chapters, in: Asymmetric Information, Corporate Finance, and Investment, pages 15-42, National Bureau of Economic Research, Inc.
    30. Gaffeo, Edoardo & Gallegati, Mauro & Palestrini, Antonio, 2003. "On the size distribution of firms: additional evidence from the G7 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 117-123.
    31. Robert Axtell & Robert Axelrod & Joshua M. Epstein & Michael D. Cohen, 1995. "Aligning Simulation Models: A Case Study and Results," Working Papers 95-07-065, Santa Fe Institute.
    32. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    33. Aoki,Masanao, 2004. "Modeling Aggregate Behavior and Fluctuations in Economics," Cambridge Books, Cambridge University Press, number 9780521606196.
    34. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
    35. Simone Landini & Mariacristina Uberti, 2008. "A Statistical Mechanic View of Macro-dynamics in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 121-146, September.
    36. Zeeman, E. C., 1974. "On the unstable behaviour of stock exchanges," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 39-49, March.
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    More about this item

    Keywords

    financial fragility; complex dynamics; stochastic aggregation;
    All these keywords.

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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