IDEAS home Printed from https://ideas.repec.org/a/idn/journl/v25y2022i4ap495-530.html
   My bibliography  Save this article

Analyzing Collateral Repo Haircuts In Asian Countries

Author

Listed:
  • Iman Gunadi

    (Bank Indonesia)

  • Aryo Sasongko

    (Bank Indonesia)

  • Dian Fitriarni Sari

    (Bank Indonesia)

Abstract

We study repo haircut determinants and develop the haircut calculation model. Collateral securities are government and corporate fixed-incomes, and we examine the determinants in Indonesia, Malaysia, Thailand, and Hong Kong. Implementing the Generalized AutoRegressive-Conditional Heteroskedasticity (GARCH) process, we find that the changes in long-memory returns, liquidity, and currency influence haircuts. Then, we introduce the haircut model using the historical and parametric Value-at-Risk (VaR), burdening the borrower as much as the α-percentile collateral loss. When borrowers default, lenders get the collaterals and haircuts to compensate for the collateral-price change.

Suggested Citation

  • Iman Gunadi & Aryo Sasongko & Dian Fitriarni Sari, 2022. "Analyzing Collateral Repo Haircuts In Asian Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(4), pages 495-530, January.
  • Handle: RePEc:idn:journl:v:25:y:2022:i:4a:p:495-530
    DOI: https://doi.org/10.21098/bemp.v25i4.2417
    as

    Download full text from publisher

    File URL: https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=2012&context=bmeb
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.21098/bemp.v25i4.2417?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
    ---><---

    More about this item

    Keywords

    Repo analysis; Risk tolerance; Historical value-at-risk; Repo haircut;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:idn:journl:v:25:y:2022:i:4a:p:495-530. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Lutzardo Tobing or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.html .

    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.