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A framework for collateral risk control determination

Author

Listed:
  • Cossin, Didier
  • González, Fernando
  • Huang, Zhijiang
  • Backé, Peter

Abstract

This paper derives a general framework for collateral risk control determination in repurchase transactions or repos. The objective is to treat consistently heterogeneous collateral so that the collateral taker has a similar risk exposure whatever the collateral pledged. The framework measures the level of risk with the probability of incurring a loss higher than a pre-specified level given two well-known parameters used to manage the intrinsic risk of collateral: marking to market and haircuts. It allows for the analysis in a self-contained closed form of the way in which different relevant factors interact in the risk control of collateral (e.g. marking to market frequency, level of volatility of interest rates, time to capture and liquidity risk, probability of default of counterparty, etc.). The framework, which combines the recent theoretical literature on credit and interest risk, provides an alternative quantifiable and objective approach to the existing more ad-hoc rule-based methods used in hair cut determination. JEL Classification: E50, E58, G21, G10

Suggested Citation

  • Cossin, Didier & González, Fernando & Huang, Zhijiang & Backé, Peter, 2003. "A framework for collateral risk control determination," Working Paper Series 209, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2003209
    Note: 338288
    as

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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp209.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Anouk Levels & Jeannette Capel, 2012. "Is Collateral Becoming Scarce? Evidence for the euro area," DNB Occasional Studies 1001, Netherlands Central Bank, Research Department.
    2. Jialu Ji & Hongxing Zheng & Jia Qi & Mingjun Ji & Lingrui Kong & Shengzhong Ji, 2023. "Financial and Logistical Service Strategy of Third-Party Logistics Enterprises in Cross-Border E-Commerce Environment," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    3. Ran Zhang & Jing Zhang & Shuang Xu, 2015. "Determining pledged loan-to-value ratio: an option pricing perspective," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-13, December.
    4. Hui Zhang & Wenyu Meng & Xiaojie Wang & Jianwei Zhang, 2017. "Application of BSDE in Standard Inventory Financing Loan," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-6, June.
    5. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
    6. Jiali Liao & Ted Theodosopoulos, 2005. "Study on optimal timing of mark-to-market for contingent credit risk control," Papers math/0506077, arXiv.org.

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    More about this item

    Keywords

    central banks; collateral; Default risk; monetary policy operations; repurchase transactions;
    All these keywords.

    JEL classification:

    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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