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Reconstructing and stress testing credit networks

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  • Ramadiah, Amanah
  • Caccioli, Fabio
  • Fricke, Daniel

Abstract

Financial networks are an important source of systemic risk, but often only partial network information is available. In this paper, we use data on bank-firm credit relationships in Japan and conduct a horse race between different network reconstruction methods in terms of their ability to reproduce the actual credit networks. We then compare the different reconstruction methods in terms of their implied levels of systemic risk based on a standard model of price-mediated contagion. We find that the observed credit network displays relatively high levels of systemic risk compared with most reconstruction methods. Lastly, we explore whether different policies can improve the robustness of the system.

Suggested Citation

  • Ramadiah, Amanah & Caccioli, Fabio & Fricke, Daniel, 2020. "Reconstructing and stress testing credit networks," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
  • Handle: RePEc:eee:dyncon:v:111:y:2020:i:c:s016518891930212x
    DOI: 10.1016/j.jedc.2019.103817
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    1. Rama Cont & Lakshithe Wagalath, 2016. "Fire Sales Forensics: Measuring Endogenous Risk," Mathematical Finance, Wiley Blackwell, vol. 26(4), pages 835-866, October.
    2. Fricke, Christoph & Fricke, Daniel, 2021. "Vulnerable asset management? The case of mutual funds," Journal of Financial Stability, Elsevier, vol. 52(C).
    3. Di Gangi, Domenico & Lillo, Fabrizio & Pirino, Davide, 2018. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 117-141.
    4. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2016. "The Effect Of Heterogeneity On Financial Contagion Due To Overlapping Portfolios," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-20, December.
    5. Vasilis Hatzopoulos & Giulia Iori & Rosario N. Mantegna & Salvatore Miccich� & Michele Tumminello, 2015. "Quantifying preferential trading in the e-MID interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 693-710, April.
    6. Xuqing Huang & Irena Vodenska & Shlomo Havlin & H. Eugene Stanley, 2012. "Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation," Papers 1210.4973, arXiv.org, revised Jan 2013.
    7. Douglas W. Diamond & Raghuram G. Rajan, 2011. "Fear of Fire Sales, Illiquidity Seeking, and Credit Freezes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 557-591.
    8. G. De Masi & M. Gallegati, 2012. "Bank–firms topology in Italy," Empirical Economics, Springer, vol. 43(2), pages 851-866, October.
    9. Manconi, Alberto & Massa, Massimo & Yasuda, Ayako, 2012. "The role of institutional investors in propagating the crisis of 2007–2008," Journal of Financial Economics, Elsevier, vol. 104(3), pages 491-518.
    10. Andrei Shleifer & Robert Vishny, 2011. "Fire Sales in Finance and Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 29-48, Winter.
    11. Rama Cont & Lakshithe Wagalath, 2012. "Fire Sales Forensics: Measuring Endogenous Risk," Working Papers hal-00697224, HAL.
    12. Ellul, Andrew & Jotikasthira, Chotibhak & Lundblad, Christian T., 2011. "Regulatory pressure and fire sales in the corporate bond market," Journal of Financial Economics, Elsevier, vol. 101(3), pages 596-620, September.
    13. Dror Y. Kenett & Sary Levy-Carciente & Adam Avakian & H. Eugene Stanley & Shlomo Havlin, 2015. "Dynamical Macroprudential Stress Testing Using Network Theory," Working Papers 15-12, Office of Financial Research, US Department of the Treasury.
    14. Galina Hale & John Krainer & Erin McCarthy, 2020. "Aggregation Level in Stress-Testing Models," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 1-46, September.
    15. Levy-Carciente, Sary & Kenett, Dror Y. & Avakian, Adam & Stanley, H. Eugene & Havlin, Shlomo, 2015. "Dynamical macroprudential stress testing using network theory," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 164-181.
    16. Kartik Anand & Ben Craig & Goetz von Peter, 2015. "Filling in the blanks: network structure and interbank contagion," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 625-636, April.
    17. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
    18. Zhang, Peng & Wang, Jinliang & Li, Xiaojia & Li, Menghui & Di, Zengru & Fan, Ying, 2008. "Clustering coefficient and community structure of bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6869-6875.
    19. Gandy, Axel & Veraart, Luitgard Anna Maria, 2019. "Adjustable network reconstruction with applications to CDS exposures," Journal of Multivariate Analysis, Elsevier, vol. 172(C), pages 193-209.
    20. Iori, Giulia & Mantegna, Rosario N. & Marotta, Luca & Miccichè, Salvatore & Porter, James & Tumminello, Michele, 2015. "Networked relationships in the e-MID interbank market: A trading model with memory," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 98-116.
    21. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    22. Mistrulli, Paolo Emilio, 2011. "Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1114-1127, May.
    23. Giulio Cimini & Tiziano Squartini & Diego Garlaschelli & Andrea Gabrielli, 2014. "Systemic risk analysis in reconstructed economic and financial networks," Papers 1411.7613, arXiv.org, revised May 2015.
    24. Lillo, Fabrizio & Pirino, Davide, 2015. "The impact of systemic and illiquidity risk on financing with risky collateral," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 180-202.
    25. Anand, Kartik & van Lelyveld, Iman & Banai, Ádám & Friedrich, Soeren & Garratt, Rodney & Hałaj, Grzegorz & Fique, Jose & Hansen, Ib & Jaramillo, Serafín Martínez & Lee, Hwayun & Molina-Borboa, José Lu, 2018. "The missing links: A global study on uncovering financial network structures from partial data," Journal of Financial Stability, Elsevier, vol. 35(C), pages 107-119.
    26. Adrian, Tobias & Shin, Hyun Song, 2010. "Liquidity and leverage," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 418-437, July.
    27. Stanislao Gualdi & Giulio Cimini & Kevin Primicerio & Riccardo Di Clemente & Damien Challet, 2016. "Statistically validated network of portfolio overlaps and systemic risk," Papers 1603.05914, arXiv.org, revised Sep 2016.
    28. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    29. Domenico Di Gangi & Fabrizio Lillo & Davide Pirino, 2015. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Papers 1509.00607, arXiv.org, revised Jul 2018.
    30. Tiziano Squartini & Diego Garlaschelli, 2011. "Exact maximum-likelihood method to detect patterns in real networks," LEM Papers Series 2011/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    31. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    32. 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.
    33. Rama Cont & Eric Schaanning, 2017. "Fire sales, indirect contagion and systemic stress testing," Working Paper 2017/2, Norges Bank.
    34. Iori, Giulia & Jafarey, Saqib & Padilla, Francisco G., 2006. "Systemic risk on the interbank market," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 525-542, December.
    35. Fricke, Daniel, 2016. "Has the banking system become more homogeneous? Evidence from banks’ loan portfolios," Economics Letters, Elsevier, vol. 142(C), pages 45-48.
    36. Paul Glasserman & H. Peyton Young, 2016. "Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September.
    37. Todd C. Pulvino, 1998. "Do Asset Fire Sales Exist? An Empirical Investigation of Commercial Aircraft Transactions," Journal of Finance, American Finance Association, vol. 53(3), pages 939-978, June.
    38. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Tiziano Squartini, 2015. "Randomizing bipartite networks: the case of the World Trade Web," Papers 1503.05098, arXiv.org, revised Jun 2015.
    39. Tiziano Squartini & Assaf Almog & Guido Caldarelli & Iman van Lelyveld & Diego Garlaschelli & Giulio Cimini, 2016. "Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks," Papers 1606.07684, arXiv.org, revised Sep 2017.
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    2. Pang, Raymond Ka-Kay & Veraart, Luitgard A. M., 2023. "Assessing and mitigating fire sales risk under partial information," LSE Research Online Documents on Economics 120171, London School of Economics and Political Science, LSE Library.
    3. Landaberry, Victoria & Caccioli, Fabio & Rodriguez-Martinez, Anahi & Baron, Andrea & Martinez-Jaramillo, Serafin & Lluberas, Rodrigo, 2021. "The contribution of the intra-firm exposures network to systemic risk," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    4. Silvia Crafa, 2021. "From agent-based modeling to actor-based reactive systems in the analysis of financial networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 649-673, July.
    5. Siklos, Pierre L. & Stefan, Martin, 2021. "Exchange rate shocks in multicurrency interbank markets," Journal of Financial Stability, Elsevier, vol. 55(C).
    6. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    7. Ramadiah, Amanah & Fricke, Daniel & Caccioli, Fabio, 2022. "Backtesting macroprudential stress tests," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    8. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023. "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 533-571, July.
    9. Maehashi, Kohei, 2021. "Systemic risk of portfolio diversification," Economics Letters, Elsevier, vol. 208(C).
    10. Caccioli, Fabio & Ferrara, Gerardo & Ramadiah, Amanah, 2020. "Modelling fire sale contagion across banks and non-banks," Bank of England working papers 878, Bank of England, revised 18 Feb 2021.
    11. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    12. Di Gangi, Domenico & Lillo, Fabrizio & Pirino, Davide, 2018. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 117-141.
    13. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    14. Pang, Raymond Ka-Kay & Veraart, Luitgard Anna Maria, 2023. "Assessing and mitigating fire sales risk under partial information," Journal of Banking & Finance, Elsevier, vol. 155(C).

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    More about this item

    Keywords

    Network reconstruction; Stress testing; Systemic risk; Bipartite credit network; Aggregation level;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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