IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v58y2021i2d10.1007_s10614-020-10023-3.html
   My bibliography  Save this article

Modeling Economic Activities and Random Catastrophic Failures of Financial Networks via Gibbs Random Fields

Author

Listed:
  • Levent Onural

    (Bilkent University)

  • Mustafa Çelebi Pınar

    (Bilkent University)

  • Can Fırtına

    (Bilkent University)

Abstract

The complicated economic behavior of entities in a population can be modeled as a Gibbs random field (GRF). Even with simple GRF models, which restrict direct statistical interactions with a small number of neighbors of an entity, real life economic and financial activities may be effectively described. A computer simulator is developed to run empirical experiments to assess different coupling structures and parameters of the presented model; it is possible to test many economic and financial models and policies in terms of their transient and steady-state consequences.

Suggested Citation

  • Levent Onural & Mustafa Çelebi Pınar & Can Fırtına, 2021. "Modeling Economic Activities and Random Catastrophic Failures of Financial Networks via Gibbs Random Fields," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 203-232, August.
    • Handle: RePEc:kap:compec:v:58:y:2021:i:2:d:10.1007_s10614-020-10023-3
    DOI: 10.1007/s10614-020-10023-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-020-10023-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-020-10023-3?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. Gara Afonso & Ricardo Lagos, 2015. "Trade Dynamics in the Market for Federal Funds," Econometrica, Econometric Society, vol. 83, pages 263-313, January.
    2. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    3. Nelson,Richard R. & Dosi,Giovanni & Helfat,Constance E. & Pyka,Andreas & Saviotti,Pier Paolo & Lee,Keun, 2018. "Modern Evolutionary Economics," Cambridge Books, Cambridge University Press, number 9781108427432, November.
      • Nelson,Richard R. & Dosi,Giovanni & Helfat,Constance E. & Pyka,Andreas & Saviotti,Pier Paolo & Lee,Keun, 2018. "Modern Evolutionary Economics," Cambridge Books, Cambridge University Press, number 9781108446198, November.
    4. Paul Glasserman & H. Peyton Young, 2016. "Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September.
    5. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    6. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    7. Semyon Malamud & Marzena Rostek, 2017. "Decentralized Exchange," American Economic Review, American Economic Association, vol. 107(11), pages 3320-3362, November.
    8. Gara Afonso & Anna Kovner & Antoinette Schoar, 2011. "Stressed, Not Frozen: The Federal Funds Market in the Financial Crisis," Journal of Finance, American Finance Association, vol. 66(4), pages 1109-1139, August.
    9. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
    10. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    11. Gofman, Michael, 2017. "Efficiency and stability of a financial architecture with too-interconnected-to-fail institutions," Journal of Financial Economics, Elsevier, vol. 124(1), pages 113-146.
    12. Adam Zawadowski, 2013. "Entangled Financial Systems," The Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1291-1323.
    13. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
    14. Peltonen, Tuomas A. & Scheicher, Martin & Vuillemey, Guillaume, 2014. "The network structure of the CDS market and its determinants," Journal of Financial Stability, Elsevier, vol. 13(C), pages 118-133.
    15. Richard P. Nelson & Giovanni Dosi & Constance Helfat & Andreas Pyka & Pier-Paolo Saviotti & Keun Lee & Kurt Dopfer & Franco Malerba & Sidney Winter, 2018. "Modern evolutionary economics: an overview," Post-Print hal-02097506, HAL.
    16. Glasserman, Paul & Young, H. Peyton, 2016. "Contagion in financial networks," LSE Research Online Documents on Economics 68681, London School of Economics and Political Science, LSE Library.
    17. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    18. Yaron Leitner, 2005. "Financial Networks: Contagion, Commitment, and Private Sector Bailouts," Journal of Finance, American Finance Association, vol. 60(6), pages 2925-2953, December.
    19. Hamed Amini & Rama Cont & Andreea Minca, 2016. "Resilience To Contagion In Financial Networks," Mathematical Finance, Wiley Blackwell, vol. 26(2), pages 329-365, 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. César García-Díaz, 2021. "Design, systems approaches, and the engineering-economics nexus," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(4), pages 601-607, December.

    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. Maryam Farboodi, 2014. "Intermediation and Voluntary Exposure to Counterparty Risk," 2014 Meeting Papers 365, Society for Economic Dynamics.
    2. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    3. Nadine Walters & Gusti Van Zyl & Conrad Beyers, 2019. "Financial Contagion In Large, Inhomogeneous Stochastic Interbank Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-26, March.
    4. Ramírez, Carlos, 2020. "Regulating financial networks under uncertainty," ESRB Working Paper Series 107, European Systemic Risk Board.
    5. Alessandro Ferracci & Giulio Cimini, 2021. "Systemic risk in interbank networks: disentangling balance sheets and network effects," Papers 2109.14360, arXiv.org, revised Sep 2022.
    6. Peterson K. Ozili, 2017. "Earnings management in interconnected networks: a perspective," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 33(2), pages 150-163, November.
    7. in 't Veld, Daan & van der Leij, Marco & Hommes, Cars, 2020. "The formation of a core-periphery structure in heterogeneous financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    8. Carlos Ramírez, 2019. "Regulating Financial Networks Under Uncertainty," Finance and Economics Discussion Series 2019-056, Board of Governors of the Federal Reserve System (U.S.).
    9. Denbee, Edward & Julliard, Christian & Li, Ye & Yuan, Kathy, 2021. "Network risk and key players: A structural analysis of interbank liquidity," Journal of Financial Economics, Elsevier, vol. 141(3), pages 831-859.
    10. Affinito, Massimiliano & Franco Pozzolo, Alberto, 2017. "The interbank network across the global financial crisis: Evidence from Italy," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 90-107.
    11. Baruník, Jozef & Ellington, Michael, 2024. "Persistence in financial connectedness and systemic risk," European Journal of Operational Research, Elsevier, vol. 314(1), pages 393-407.
    12. Everett Grant & Julieta Yung, 2021. "The double‐edged sword of global integration: Robustness, fragility, and contagion in the international firm network," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 760-783, September.
    13. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    14. Boyao Wu & Difang Huang & Muzi Chen, 2023. "Estimating contagion mechanism in global equity market with time‐zone effect," Financial Management, Financial Management Association International, vol. 52(3), pages 543-572, September.
    15. Boyao Wu & Difang Huang & Muzi Chen, 2024. "Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect," Papers 2404.04335, arXiv.org.
    16. Guillaume Vuillemey, 2015. "Derivatives markets : from bank risk management to financial stability [Les marchés de dérivés : gestion des risques bancaires et stabilité financière]," SciencePo Working papers Main tel-03507099, HAL.
    17. Everett Grant & Julieta Yung, 2017. "The Double-Edged Sword of Global Integration: Robustness, Fragility & Contagion in the International Firm Network," Globalization Institute Working Papers 313, Federal Reserve Bank of Dallas.
    18. Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2021. "CoMap: Mapping Contagion in the Euro Area Banking Sector," Journal of Financial Stability, Elsevier, vol. 53(C).
    19. Chotipong Charoensom & Thaisiri Watewai, 2022. "Optimal Liquidity Control and Systemic Risk in an Interbank Network with Liquidity Shocks and Regime-dependent Interconnectedness," PIER Discussion Papers 175, Puey Ungphakorn Institute for Economic Research.
    20. Andrew Ellul & Dasol Kim, 2021. "Counterparty Choice, Bank Interconnectedness, and Systemic Risk," Working Papers 21-03, Office of Financial Research, US Department of the Treasury.

    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:kap:compec:v:58:y:2021:i:2:d:10.1007_s10614-020-10023-3. 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.