IDEAS home Printed from https://ideas.repec.org/a/spr/jeicoo/v8y2013i2p231-247.html
   My bibliography  Save this article

Lending attitude as a financial accelerator in a credit network economy

Author

Listed:
  • Daiki Asanuma

Abstract

In existing literature, commercial banks are often considered mere financial intermediaries that facilitate the flow of credit in an imperfect credit market. However, as demonstrated in the history of financial instability, the behavior of financial institutions plays an important role. This paper examines how lenders’ attitudes affect macroeconomic performance. In our analysis, the economy is composed of multiple borrowers (firms) and one lender (bank). Each borrower is directly connected to the lender through its credit contract. At the same time, each borrower is indirectly connected to all the other borrowers within the credit network. Using this model, we execute computer simulations to examine the economic consequences of lending attitudes. The results of the simulations demonstrate that the bank’s lending attitude functions as a financial accelerator; that is, it significantly affects the dynamics of the economic system through the credit network. Consequently, the same level of exogenous shock generates completely different outcomes depending on the different lending attitudes. The results also show that there exists an optimal lending attitude that leads to high economic growth and a stable growth path. Copyright Springer-Verlag 2013

Suggested Citation

  • Daiki Asanuma, 2013. "Lending attitude as a financial accelerator in a credit network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 231-247, October.
  • Handle: RePEc:spr:jeicoo:v:8:y:2013:i:2:p:231-247
    DOI: 10.1007/s11403-012-0102-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11403-012-0102-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11403-012-0102-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Charles P. Kindleberger & Robert Z. Aliber, 2005. "Manias, Panics and Crashes," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-62804-5, September.
    2. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    3. Lavoie, Marc, 1996. "Horizontalism, Structuralism, Liquidity Preference and the Principle of Increasing Risk," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(3), pages 275-300, August.
    4. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    5. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    6. Fama, Eugene F., 1980. "Banking in the theory of finance," Journal of Monetary Economics, Elsevier, vol. 6(1), pages 39-57, January.
    7. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    8. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    9. Jordi Galí, 2008. "Introduction to Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework," Introductory Chapters, in: Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework, Princeton University Press.
    10. Marc Lavoie, 2009. "Introduction to Post-Keynesian Economics," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-23548-9, September.
    11. Bossone, Biagio, 2001. "Do banks have a future?: A study on banking and finance as we move into the third millennium," Journal of Banking & Finance, Elsevier, vol. 25(12), pages 2239-2276, December.
    12. 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.
    13. 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.
    14. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph Stiglitz, 2009. "Business fluctuations and bankruptcy avalanches in an evolving network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 195-212, November.
    15. Allen, Franklin & Carletti, Elena & Gale, Douglas, 2009. "Interbank market liquidity and central bank intervention," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 639-652, July.
    16. Xavier Freixas & Jean-Charles Rochet, 2008. "Microeconomics of Banking, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262062704, December.
    17. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2006. "Business fluctuations in a credit-network economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 68-74.
    18. Louis-Philippe Rochon, 1999. "Credit, Money and Production," Books, Edward Elgar Publishing, number 1565, December.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pablo Pastory y Camarasa & Martien Lamers, 2023. "Do Actions Follow Words? How bank sentiment predicts credit growth," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1073, Ghent University, Faculty of Economics and Business Administration.
    2. Rubino, Michele & Vitolla, Filippo & Raimo, Nicola & Garzoni, Antonello, 2019. "Cultura nazionale e livello di digitalizzazione delle imprese europee: evidenze empiriche," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 581-593.
    3. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    4. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    5. Chiarella Carl & Di Guilmi Corrado & Zhi Tianhao, 2020. "“Animal spirits” and bank’s lending behaviour, a disequilibrium approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-21, April.
    6. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    2. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    3. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    4. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
    5. Semyon Malamud & Andreas Schrimpf, 2016. "Intermediation Markups and Monetary Policy Passthrough," Swiss Finance Institute Research Paper Series 16-75, Swiss Finance Institute.
    6. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    7. Mr. Fabian Valencia, 2008. "Banks’ Precautionary Capital and Persistent Credit Crunches," IMF Working Papers 2008/248, International Monetary Fund.
    8. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    9. 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.
    10. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    11. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    12. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    13. repec:spo:wpecon:info:hdl:2441/eu4vqp9ompqllr09j0h130d0n is not listed on IDEAS
    14. Calvo, Guillermo, 2012. "Financial crises and liquidity shocks a bank-run perspective," European Economic Review, Elsevier, vol. 56(3), pages 317-326.
    15. Ferrari, Massimo, 2014. "The financial meltdown: a model with endogenous default probability," MPRA Paper 59419, University Library of Munich, Germany.
    16. Yaxuan Qi & Lukas Roth & John Wald, 2017. "Creditor protection laws, debt financing, and corporate investment over the business cycle," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(4), pages 477-497, May.
    17. Jan Toporowski, 2013. "The Elgar Companion to Hyman Minsky," Review of Political Economy, Taylor & Francis Journals, vol. 25(1), pages 175-177, January.
    18. Pigini, Claudia & Presbitero, Andrea F. & Zazzaro, Alberto, 2016. "State dependence in access to credit," Journal of Financial Stability, Elsevier, vol. 27(C), pages 17-34.
    19. Cristiano Cantore & Mathan Satchi, 2009. "Credit Supply and Output Volatility," Studies in Economics 0904, School of Economics, University of Kent.
    20. Occhino, Filippo & Pescatori, Andrea, 2015. "Debt overhang in a business cycle model," European Economic Review, Elsevier, vol. 73(C), pages 58-84.
    21. repec:hal:wpspec:info:hdl:2441/eu4vqp9ompqllr09j0h130d0n is not listed on IDEAS
    22. Atkeson, Andrew G. & Eisfeldt, Andrea L. & Weill, Pierre-Olivier, 2017. "Measuring the financial soundness of U.S. firms, 1926–2012," Research in Economics, Elsevier, vol. 71(3), pages 613-635.

    More about this item

    Keywords

    Agent-based model; Credit network economy; Bank’s lending attitudes; Financial accelerator; Optimal lending attitude; E51; G21;
    All these keywords.

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jeicoo:v:8:y:2013:i:2:p:231-247. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.