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Credit Market Spillovers: Evidence from a Syndicated Loan Market Network

Author

Listed:
  • Abhimanyu Gupta

    (University of Essex)

  • Alex Michaelides

    (Imperial College Business School)

  • Sotirios Kokas

    (University of Essex)

Abstract
A large theoretical literature emphasizes the importance of financial networks, but empirical studies remain scarce. Due to overlapping bank portfolios, the syndicated loan market provides a natural setting to study financial networks. We exploit the tiered structure of syndicated loans to construct such a network and characterize quantitatively its evolution over time. A spatial autoregressive model provides an ideal methodological framework to estimate spillovers from this financial network to lending rates and quantities. We find that these spillovers are economically large, time-varying and can switch sign after major economic shocks. Moreover, we find that network complexity and uncertainty rise after a large negative shock. Counterfactual experiments confirm the quantitative importance of spillovers and network structure on lending rates and quantities and can be used to disentangle the effects arising from spillovers versus changes in network structure.

Suggested Citation

  • Abhimanyu Gupta & Alex Michaelides & Sotirios Kokas, 2018. "Credit Market Spillovers: Evidence from a Syndicated Loan Market Network," 2018 Meeting Papers 666, Society for Economic Dynamics.
    • Handle: RePEc:red:sed018:666
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    References listed on IDEAS

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    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    3. Acharya, Viral V. & Yorulmazer, Tanju, 2007. "Too many to fail--An analysis of time-inconsistency in bank closure policies," Journal of Financial Intermediation, Elsevier, vol. 16(1), pages 1-31, January.
    4. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    5. Gupta, Abhimanyu & Robinson, Peter M., 2018. "Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension," Journal of Econometrics, Elsevier, vol. 202(1), pages 92-107.
    6. Allen, Franklin & Babus, Ana & Carletti, Elena, 2012. "Asset commonality, debt maturity and systemic risk," Journal of Financial Economics, Elsevier, vol. 104(3), pages 519-534.
    7. Iyer, Rajkamal & Peydró, José-Luis, 2011. "Interbank contagion at work: Evidence from a natural experiment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 24(4), pages 1337-1377.
    8. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    9. Freixas, Xavier & Parigi, Bruno M & Rochet, Jean-Charles, 2000. "Systemic Risk, Interbank Relations, and Liquidity Provision by the Central Bank," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 611-638, August.
    10. Michael D. König & Dominic Rohner & Mathias Thoenig & Fabrizio Zilibotti, 2017. "Networks in Conflict: Theory and Evidence From the Great War of Africa," Econometrica, Econometric Society, vol. 85, pages 1093-1132, July.
    11. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    12. David Gaddis Ross, 2010. "The "Dominant Bank Effect:" How High Lender Reputation Affects the Information Content and Terms of Bank Loans," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2730-2756, July.
    13. Mark Carey & Greg Nini, 2007. "Is the Corporate Loan Market Globally Integrated? A Pricing Puzzle," Journal of Finance, American Finance Association, vol. 62(6), pages 2969-3007, December.
    14. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.
    15. Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Review of Finance, European Finance Association, vol. 21(1), pages 109-152.
    16. Amir Sufi, 2007. "Information Asymmetry and Financing Arrangements: Evidence from Syndicated Loans," Journal of Finance, American Finance Association, vol. 62(2), pages 629-668, April.
    17. Emmanuel Farhi & Jean Tirole, 2012. "Collective Moral Hazard, Maturity Mismatch, and Systemic Bailouts," American Economic Review, American Economic Association, vol. 102(1), pages 60-93, February.
    18. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    19. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2017. "Macroprudential policy, countercyclical bank capital buffers and credit supply: evidence from the spanish dynamic provisioning experiments," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 125(6), pages 2126-2177.
    20. Tobias Berg & Anthony Saunders & Sascha Steffen, 2016. "The Total Cost of Corporate Borrowing in the Loan Market: Don't Ignore the Fees," Journal of Finance, American Finance Association, vol. 71(3), pages 1357-1392, June.
    21. 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.
    22. Liu, Shew Fan & Yang, Zhenlin, 2015. "Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
    23. Asim Ijaz Khwaja & Atif Mian, 2008. "Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market," American Economic Review, American Economic Association, vol. 98(4), pages 1413-1442, September.
    24. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    25. H. Kelejian, Harry & Prucha, Ingmar R., 2001. "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2), pages 219-257, September.
    26. Vasso Ioannidou & Steven Ongena, 2010. "“Time for a Change”: Loan Conditions and Bank Behavior when Firms Switch Banks," Journal of Finance, American Finance Association, vol. 65(5), pages 1847-1877, October.
    27. Lin, Xu & Lee, Lung-fei, 2010. "GMM estimation of spatial autoregressive models with unknown heteroskedasticity," Journal of Econometrics, Elsevier, vol. 157(1), pages 34-52, July.
    28. Lee, Lung-Fei, 2002. "Consistency And Efficiency Of Least Squares Estimation For Mixed Regressive, Spatial Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 18(2), pages 252-277, April.
    29. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
    30. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    31. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    32. Timothy G. Conley & Bill Dupor, 2003. "A Spatial Analysis of Sectoral Complementarity," Journal of Political Economy, University of Chicago Press, vol. 111(2), pages 311-352, April.
    33. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    34. Mariassunta Giannetti & Yishay Yafeh, 2012. "Do Cultural Differences Between Contracting Parties Matter? Evidence from Syndicated Bank Loans," Management Science, INFORMS, vol. 58(2), pages 365-383, February.
    35. Manthos D. Delis & Sotirios Kokas & Steven Ongena, 2017. "Bank Market Power and Firm Performance," Review of Finance, European Finance Association, vol. 21(1), pages 299-326.
    36. Tasca, Paolo & Battiston, Stefano & Deghi, Andrea, 2017. "Portfolio diversification and systemic risk in interbank networks," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 96-124.
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    Cited by:

    1. Karamysheva, Madina & Seregina, Ekaterina, 2022. "Prudential policies and systemic risk: The role of interconnections," Journal of International Money and Finance, Elsevier, vol. 127(C).
    2. Kevin F. Kiernan & Vladimir Yankov & Filip Zikes, 2021. "Liquidity Provision and Co-insurance in Bank Syndicates," Finance and Economics Discussion Series 2021-060, Board of Governors of the Federal Reserve System (U.S.).
    3. Herculano, Miguel C., 2018. "The role of contagion in the transmission of financial stress," ESRB Working Paper Series 81, European Systemic Risk Board.
    4. Delis, Manthos D. & Iosifidi, Maria & Kokas, Sotirios & Xefteris, Dimitrios & Ongena, Steven, 2020. "Enforcement actions on banks and the structure of loan syndicates," Journal of Corporate Finance, Elsevier, vol. 60(C).

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    More about this item

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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