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Identifying Repo Market Microstructure from Securities Transactions Data

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  • Nicholas Garvin

    (Reserve Bank of Australia)

Abstract

Interbank repo markets are arguably just as important as unsecured markets. Despite this, the global research community has not analysed the microstructure of interbank repo markets in the same detail as unsecured markets, because loan-level repo data have not been available. This paper provides and assesses an algorithm for extracting loan-level repo data from over-the-counter securities transactions data, and it applies to securities transactions data from Austraclear. This approach is similar to how loan-level unsecured data are typically obtained from payments data. False detection and false omission rates are estimated to be 3 per cent or less. While separate prudential data indicate a larger repo market than the algorithm data, likely reflecting repos transacted through foreign (i.e. non-Austraclear) infrastructure, the two datasets have a robust positive relationship. The algorithm data, capturing non-RBA repos of up to 14-days maturity from several 2-month data samples between 2006 and 2015, reveal various market features. From 2006 to 2015, the distribution of repo-rate spreads (to the cash rate) drifted up and tightened, and the market shifted towards overnight maturities. Loan-level repo rates depend on the loan size and the types of counterparties, but not how long the repo is open. In 2015, the market's network structure comprises a tightly integrated core, and a segmented periphery with few counterparties. Repo haircuts do not display obvious patterns, appearing randomly distributed around zero.

Suggested Citation

  • Nicholas Garvin, 2018. "Identifying Repo Market Microstructure from Securities Transactions Data," RBA Research Discussion Papers rdp2018-09, Reserve Bank of Australia.
  • Handle: RePEc:rba:rbardp:rdp2018-09
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    File URL: https://www.rba.gov.au/publications/rdp/2018/pdf/rdp2018-09.pdf
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    References listed on IDEAS

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    Cited by:

    1. Maxim Ralchenko & Adrian Walton, 2022. "Historical Data on Repurchase Agreements from the Canadian Depository for Securities," Technical Reports 121, Bank of Canada.
    2. Nicholas Garvin & David W Hughes & José-Luis Peydró, 2021. "The Role of Collateral in Borrowing," RBA Research Discussion Papers rdp2021-01, Reserve Bank of Australia.

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    More about this item

    Keywords

    interbank markets; Furfine algorithm; false detection rates; repo markets; securities;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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