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Network-Motivated Lending Decisions

Author

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  • Ogura, Yoshiaki
  • Okui, Ryo
  • Saito, Yukiko Umeno

Abstract

We theoretically and empirically demonstrate that monopolistic or collusive banks will keep lending to a loss-making firm at an interest rate lower than the prime rate if the firm is located in an influential position in an inter-firm supply network. An influential firm generates a positive externality, and its exit damages the sales in the supply network. To internalize this externality, the banks may forbear on debt collection and/or bail out such influential firms when the cost to support the loss-making influential company can be recouped by imposing high interest on less influential companies. The analytical model shows that such forbearance can improve welfare. Our empirical study, performed using a unique dataset containing information about inter-firm transactions, provides evidence for such network-motivated lending decisions. In particular, this effect is more clearly observed at less credit-worthy firms whose main bank is a regional bank. Notably, we observe that such banks are often dominant lenders in the local loan market, and most of their clientele do not have direct access to the stock and bond market.

Suggested Citation

  • Ogura, Yoshiaki & Okui, Ryo & Saito, Yukiko Umeno, 2015. "Network-Motivated Lending Decisions," HIT-REFINED Working Paper Series 29, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:remfce:29
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    Cited by:

    1. Jiangtao FU & OGURA Yoshiaki, 2017. "Product Network Connectivity and Information for Loan Pricing," Discussion papers 17028, Research Institute of Economy, Trade and Industry (RIETI).
    2. Inoue, Hitoshi & Nakashima, Kiyotaka & Takahashi, Koji, 2018. "The Interaction Effect in a Nonlinear Specification of Bank Lending: A Reexamination of ``Unnatural Selection"," MPRA Paper 89087, University Library of Munich, Germany.
    3. Gee Hee HONG & ITO Arata & SAITO Yukiko & Thi-Ngoc Anh NGUYEN, 2020. "Structural Changes in Japanese SMEs: Business Dynamism in Aging Society and Inter-Firm Transaction Network," Policy Discussion Papers 20003, Research Institute of Economy, Trade and Industry (RIETI).
    4. Jiangtao Fu & Yoshiaki Ogura, 2017. "Product Network Connectivity and Information for Loan Pricing," Working Papers 1703, Waseda University, Faculty of Political Science and Economics.
    5. Inoue, Hitoshi & Nakashima, Kiyotaka & Takahashi, Koji, 2016. "Comment on Peek and Rosengren (2005) “Unnatural Selection: Perverse Incentives and the Allocation of Credit in Japan”," MPRA Paper 72726, University Library of Munich, Germany.

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    More about this item

    Keywords

    supply network; influence coefficient; centrality; forbearance; bailout;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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