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Networks and Information in Credit Markets

Author

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  • Gupta, Abhimanyu

    (University of Essex)

  • Kokas, Sotirios

    (University of Essex)

  • Michaelides, Alexander

    (Imperial College London)

  • Minetti, Raoul

    (Michigan State University, Department of Economics)

Abstract

A large theoretical literature emphasizes financial networks, but empirical studies remain scarce. We exploit the overlapping bank portfolio structure of US syndicated loans to construct a financial network and characterize its evolution over time. Using techniques from spatial econometrics, we find large spillovers in lending conditions from peers’ decisions during normal times: a standard deviation increase in peer lending rates can increase a bank’s lending rate by 17 basis points. However, these spillovers vanish in a large recession. We rationalize these findings through the lens of a model of syndicate lending, where banks’ reliance on private signals rises during recessions.

Suggested Citation

  • Gupta, Abhimanyu & Kokas, Sotirios & Michaelides, Alexander & Minetti, Raoul, 2023. "Networks and Information in Credit Markets," Working Papers 2023-1, Michigan State University, Department of Economics.
    • Handle: RePEc:ris:msuecw:2023_001
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    1. Cappelletti, Giuseppe & Mistrulli, Paolo Emilio, 2023. "The role of credit lines and multiple lending in financial contagion and systemic events," Journal of Financial Stability, Elsevier, vol. 67(C).

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    More about this item

    Keywords

    Financial networks; spillovers; cost of lending; syndicated loan market;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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