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Compressing over-the-counter markets

Author

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  • D'Errico, Marco
  • Roukny, Tarik

Abstract

In this paper, we show both theoretically and empirically that the size of over-the-counter (OTC) markets can be reduced without affecting individual net positions. First, we find that the networked nature of these markets generates an excess of notional obligations between the aggregate gross amount and the minimum amount required to satisfy each individual net position. Second, we show conditions under which such excess can be removed. We refer to this netting operation as compression and identify feasibility and efficiency criteria, highlighting intermediation as the key element for excess levels. We show that a tradeoff exists between the amount of notional that can be eliminated from the system and the conservation of original trading relationships. Third, we apply our framework to a unique and comprehensive transaction-level dataset on OTC derivatives including all firms based in the European Union. On average, we find that around 75% of market gross notional relates to excess. While around 50% can in general be removed via bilateral compression, more sophisticated multilateral compression approaches are substantially more efficient. In particular, we find that even the most conservative multilateral approach which satisfies relationship constraints can eliminate up to 98% of excess in the markets. JEL Classification: C61, D53, D85, G01, G10, G12

Suggested Citation

  • D'Errico, Marco & Roukny, Tarik, 2017. "Compressing over-the-counter markets," ESRB Working Paper Series 44, European Systemic Risk Board.
  • Handle: RePEc:srk:srkwps:201744
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chiara Perillo & Stefano Battiston, 2020. "Financialization and unconventional monetary policy: a financial-network analysis," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1385-1428, November.
    2. Pawe³ Fiedor & Sarah Lapschies & Lucia Országhová, 2017. "Networks of counterparties in the centrally cleared EU-wide interest rate derivatives market," Working and Discussion Papers WP 7/2017, Research Department, National Bank of Slovakia.
    3. Fiedor, Paweł & Killeen, Neill, 2021. "Securitisation special purpose entities, bank sponsors and derivatives," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    4. Iman van Lelyveld, 2017. "The use of derivatives trade repository data: possibilities and challenges," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.
    5. D’Errico, Marco & Battiston, Stefano & Peltonen, Tuomas & Scheicher, Martin, 2018. "How does risk flow in the credit default swap market?," Journal of Financial Stability, Elsevier, vol. 35(C), pages 53-74.
    6. Gai, Prasanna & Kemp, Malcolm & Sánchez Serrano, Antonio & Schnabel, Isabel, 2019. "Regulatory complexity and the quest for robust regulation," Report of the Advisory Scientific Committee 8, European Systemic Risk Board.
    7. Shane Barratt & Stephen Boyd, 2020. "Multi-Period Liability Clearing via Convex Optimal Control," Papers 2005.09066, arXiv.org.
    8. Iman van Lelyveld & Sinziana Kroon, 2018. "Counterparty credit risk and the effectiveness of banking regulation," DNB Working Papers 599, Netherlands Central Bank, Research Department.

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    More about this item

    Keywords

    compression; derivatives; intermediation; networks; optimization; OTC markets;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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