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Leverage dynamics and credit quality

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  • Ordoñez, Guillermo
  • Perez-Reyna, David
  • Yogo, Motohiro

Abstract

We study a dynamic model of collateralized credit markets with asymmetric information, which allows for a rich set of signaling strategies based on the path of debt and repayment. Whether credit history reveals private information about credit quality depends on the degree of uncertainty in collateral value. When uncertainty is low, good borrowers fully and costlessly separate by deleveraging, that is borrowing a sufficiently high amount such that subsequent repayment reveals the presence of unobservable income. When uncertainty is higher, good borrowers pay an adverse selection cost through a higher interest rate because bad borrowers could default, and asymmetric information is not always resolved.

Suggested Citation

  • Ordoñez, Guillermo & Perez-Reyna, David & Yogo, Motohiro, 2019. "Leverage dynamics and credit quality," Journal of Economic Theory, Elsevier, vol. 183(C), pages 183-212.
  • Handle: RePEc:eee:jetheo:v:183:y:2019:i:c:p:183-212
    DOI: 10.1016/j.jet.2019.06.001
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    2. Li, Qi, 2022. "Security design without verifiable retention," Journal of Economic Theory, Elsevier, vol. 200(C).
    3. Biswas, Sonny, 2023. "Collateral and bank screening as complements: A spillover effect," Journal of Economic Theory, Elsevier, vol. 212(C).
    4. Lukyanov, Georgy, 2023. "Collateral and reputation in a model of strategic defaults," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).

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    More about this item

    Keywords

    Adverse selection; Collateral; Credit score; Reputation; Signaling;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • 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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