IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v239y2024ics016517652400243x.html
   My bibliography  Save this article

Information cost and securitization

Author

Listed:
  • Fan, Zhongjie
  • Liu, Zehao
  • Tang, Dunzhe

Abstract

Securitization increases the complexity of assets while incurring associated costs, which enhances asset liquidity by curbing private information production and facilitating asset resale. The liquidity improvement reduces the immediate financing costs for firms, incentivizing them to engage in securitization. Firms have stronger incentive to securitize when the cost of securitization is lower or the underlying assets are less liquid.

Suggested Citation

  • Fan, Zhongjie & Liu, Zehao & Tang, Dunzhe, 2024. "Information cost and securitization," Economics Letters, Elsevier, vol. 239(C).
  • Handle: RePEc:eee:ecolet:v:239:y:2024:i:c:s016517652400243x
    DOI: 10.1016/j.econlet.2024.111759
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016517652400243X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2024.111759?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gary Gorton, 2017. "The History and Economics of Safe Assets," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 547-586, September.
    2. Alan Moreira & Alexi Savov, 2017. "The Macroeconomics of Shadow Banking," Journal of Finance, American Finance Association, vol. 72(6), pages 2381-2432, December.
    3. Joongho Han & Kwangwoo Park & George Pennacchi, 2015. "Corporate Taxes and Securitization," Journal of Finance, American Finance Association, vol. 70(3), pages 1287-1321, June.
    4. Agarwal, Sumit & Chang, Yan & Yavas, Abdullah, 2012. "Adverse selection in mortgage securitization," Journal of Financial Economics, Elsevier, vol. 105(3), pages 640-660.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bertay, Ata Can & Gong, Di & Wagner, Wolf, 2017. "Securitization and economic activity: The credit composition channel," Journal of Financial Stability, Elsevier, vol. 28(C), pages 225-239.
    2. Marcin Kacperczyk & Christophe Pérignon & Guillaume Vuillemey, 2021. "The Private Production of Safe Assets," Journal of Finance, American Finance Association, vol. 76(2), pages 495-535, April.
    3. Milonas, Kristoffer, 2017. "The effect of foreclosure laws on securitization: Evidence from U.S. states," Journal of Financial Stability, Elsevier, vol. 33(C), pages 1-22.
    4. Drechsler, Itamar & Savov, Alexi & Schnabl, Philipp, 2022. "How monetary policy shaped the housing boom," Journal of Financial Economics, Elsevier, vol. 144(3), pages 992-1021.
    5. Benedikt Ballensiefen & Angelo Ranaldo, 2023. "Safe Asset Carry Trade," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 13(2), pages 223-265.
    6. Liu, Zehao & Sinclair, Andrew J., 2022. "Wealth, endogenous collateral quality, and financial crises," Journal of Economic Theory, Elsevier, vol. 204(C).
    7. Fabio Panetta & Alberto Franco Pozzolo, 2018. "Why do banks securitise their assets? Bank-level evidence from over one hundred countries in the pre-crisis period," Temi di discussione (Economic working papers) 1183, Bank of Italy, Economic Research and International Relations Area.
    8. Becker, Christoph, 2021. "The liquidity mechanics of dealer banks in the market-based credit system," Economic Modelling, Elsevier, vol. 105(C).
    9. van der Plaat, Mark T., 2021. "How to Measure Securitization: A Structural Equation Approach," MPRA Paper 109735, University Library of Munich, Germany.
    10. Jackson, Timothy & Pennacchi, George, 2021. "How should governments create liquidity?," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 281-295.
    11. Nam, Tong-yob & Oh, Seungjoon, 2021. "Non-recourse mortgage law and housing speculation," Journal of Banking & Finance, Elsevier, vol. 133(C).
    12. Nicodano, Giovanna & Regis, Luca, 2019. "A trade-off theory of ownership and capital structure," Journal of Financial Economics, Elsevier, vol. 131(3), pages 715-735.
    13. Christian Calmès & Raymond Théoret, 2021. "Portfolio analysis of big US banks’ performance: the fee business lines factor," Journal of Banking Regulation, Palgrave Macmillan, vol. 22(2), pages 112-132, June.
    14. Anatoli Segura & Alonso Villacorta, 2020. "Demand for safety, risky loans: A model of securitization," Temi di discussione (Economic working papers) 1260, Bank of Italy, Economic Research and International Relations Area.
    15. Habib, Maurizio Michael & Stracca, Livio & Venditti, Fabrizio, 2020. "The fundamentals of safe assets," Journal of International Money and Finance, Elsevier, vol. 102(C).
    16. Srichander Ramaswamy, 2024. "Could Uncapped and Unremunerated Retail CBDC Accounts Disintermediate Banks?," Working Papers wp52, South East Asian Central Banks (SEACEN) Research and Training Centre.
    17. Ghosh, Saurabh & Mazumder, Debojyoti, 2023. "Do NBFCs propagate real shocks?," Journal of Asian Economics, Elsevier, vol. 85(C).
    18. Eduardo Dávila & Ansgar Walther, 2021. "Corrective Regulation with Imperfect Instruments," NBER Working Papers 29160, National Bureau of Economic Research, Inc.
    19. Wei, Xin & Liu, Xi & Zhang, Xueyong, 2022. "Shadow banking and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    20. Greg Buchak & Gregor Matvos & Tomasz Piskorski & Amit Seru, 2024. "Aggregate Lending and Modern Financial Intermediation: Why Bank Balance Sheet Models Are Miscalibrated," NBER Macroeconomics Annual, University of Chicago Press, vol. 38(1), pages 239-287.

    More about this item

    Keywords

    Information sensitivity; Securitization; Information cost;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:239:y:2024:i:c:s016517652400243x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.