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Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?

Author

Listed:
  • Emanuele Ciola

    (Department of Management, Universita' Politecnica delle Marche (Italy))

  • Edoardo Gaffeo

    (Department of Economics and Management, Universita' degli Studi di Trento (Italy).)

  • Mauro Gallegati

    (Department of Management, Universita' Politecnica delle Marche (Italy))

Abstract

This paper develops and estimates a macroeconomic model of real-financial markets interactions in which the behaviour of banks generates endogenous business cycles. We do so in the context of a computational agent-based framework, where the channelling of funds from depositors to investors occurring through intermediaries nformation and matching frictions. Since banks compete in both deposit and credit markets, the whole dynamic is driven by endogenous fluctuations in their profits. In particular, we assume that intermediaries adopt a simple learning process, which consists of copying the strategy of the most profitable competitors while setting their interest rates. Accordingly, the emergence of strategic complementarity - mainly due to the accumulation of information capital - leads to periods of sustained growth followed by sharp recessions in the simulated economy.

Suggested Citation

  • Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:450
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    References listed on IDEAS

    as
    1. repec:hal:spmain:info:hdl:2441/28ldm6et9r9pbak4qpf3imo9bj is not listed on IDEAS
    2. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive Microfoundations for Emergent Macroeconomics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 441-463.
    3. Dwight M. Jaffee & Thomas Russell, 1976. "Imperfect Information, Uncertainty, and Credit Rationing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 651-666.
    4. Guerini, Mattia & Napoletano, Mauro & Roventini, Andrea, 2018. "No man is an Island: The impact of heterogeneity and local interactions on macroeconomic dynamics," Economic Modelling, Elsevier, vol. 68(C), pages 82-95.
    5. Peter Winker & Manfred Gilli & Vahidin Jeleskovic, 2007. "An objective function for simulation based inference on exchange rate data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 125-145, December.
    6. Franke, Reiner & Westerhoff, Frank, 2012. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1193-1211.
    7. Zhenxi Chen & Thomas Lux, 2018. "Estimation of Sentiment Effects in Financial Markets: A Simulated Method of Moments Approach," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 711-744, October.
    8. Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
    9. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 63-84, Suppl. De.
    10. Bruce C. Greenwald & Joseph E. Stiglitz, 1993. "Financial Market Imperfections and Business Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 77-114.
    11. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    12. Etienne Wasmer & Philippe Weil, 2004. "The Macroeconomics of Labor and Credit Market Imperfections," American Economic Review, American Economic Association, vol. 94(4), pages 944-963, September.
    13. Alexandru Mandes & Peter Winker, 2017. "Complexity and model comparison in agent based modeling of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 469-506, October.
    14. Gatti, Domenico Delli & Gallegati, Mauro & Greenwald, Bruce C. & Russo, Alberto & Stiglitz, Joseph E., 2012. "Mobility constraints, productivity trends, and extended crises," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 375-393.
    15. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2020. "Network calibration and metamodeling of a financial accelerator agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 413-440, April.
    16. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    17. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2015. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 1-25.
    18. Francisco Covas & Wouter J. Den Haan, 2011. "The Cyclical Behavior of Debt and Equity Finance," American Economic Review, American Economic Association, vol. 101(2), pages 877-899, April.
    19. repec:hal:spmain:info:hdl:2441/8622 is not listed on IDEAS
    20. Kim, Moshe & Kliger, Doron & Vale, Bent, 2003. "Estimating switching costs: the case of banking," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 25-56, January.
    21. Becsi, Zsolt & Li, Victor E. & Wang, Ping, 2013. "Credit mismatch and breakdown," European Economic Review, Elsevier, vol. 59(C), pages 109-125.
    22. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    23. Grazzini, Jakob & Richiardi, Matteo, 2015. "Estimation of ergodic agent-based models by simulated minimum distance," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 148-165.
    24. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    25. Sichel, Daniel E, 1993. "Business Cycle Asymmetry: A Deeper Look," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 224-236, April.
    26. G. Fagiolo & G. Dosi & R. Gabriele, 2004. "Matching, Bargaining, And Wage Setting In An Evolutionary Model Of Labor Market And Output Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 157-186.
    27. Philippe Weil & Etienne Wasmer, 2004. "The macroeconomics of credit and labor market imperfections," ULB Institutional Repository 2013/13436, ULB -- Universite Libre de Bruxelles.
    28. 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.
    29. Elizabeth Kiser, 2002. "Predicting Household Switching Behavior and Switching Costs at Depository Institutions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(4), pages 349-365, June.
    30. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2018. "No man is an Island: The impact of heterogeneity and local interactions on macroeconomic dynamics," Post-Print halshs-03509084, HAL.
    31. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    32. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    33. Franke, Reiner, 2009. "Applying the method of simulated moments to estimate a small agent-based asset pricing model," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 804-815, December.
    34. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    35. Delli Gatti, Domenico & Grazzini, Jakob, 2020. "Rising to the challenge: Bayesian estimation and forecasting techniques for macroeconomic Agent Based Models," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 875-902.
    36. Brunetti, M. & Ciciretti, R. & Djordjevic, Lj., 2016. "The determinants of household’s bank switching," Journal of Financial Stability, Elsevier, vol. 26(C), pages 175-189.
    37. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    38. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    39. repec:hal:wpspec:info:hdl:2441/8622 is not listed on IDEAS
    40. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    41. Peter Diamond, 1990. "Pairwise Credit in Search Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(2), pages 285-319.
    42. Lawrence Christiano & Daisuke Ikeda, 2011. "Government Policy, Credit Markets and Economic Activity," NBER Working Papers 17142, National Bureau of Economic Research, Inc.
    43. Chakravarty, Sugato & Feinberg, Richard & Rhee, Eun-Young, 2004. "Relationships and individuals' bank switching behavior," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 507-527, August.
    44. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
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    More about this item

    Keywords

    Keywords: Agent-based macroeconomics; Simulation-based estimation; Intermediaries behaviour; Business cycles;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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