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Compressing Over-the-Counter Markets

Compressing over-the-counter markets
Authors: Marco D'Errico; Tarik Roukny;

Compressing Over-the-Counter Markets

Abstract

Over-the-counter markets are at the center of the global reform of the financial system. We show how the size and structure of these markets can undergo rapid and extensive changes when participants engage in portfolio compression, which is an optimization technology that exploits multilateral netting opportunities. We find that tightly knit and concentrated trading structures, as featured by many large over-the-counter markets, are especially susceptible to reductions of notional amounts and network reconfigurations resulting from compression activities. Using a unique transaction-level data set on credit-default-swaps markets, we estimate reduction levels, suggesting that the adoption of this technology can account for a large share of the historical development observed in these markets since the global financial crisis. Finally, we test the effect of a mandate to centrally clear over the counter markets in terms of size and structure. When participants engage in both central clearing and portfolio compression with the clearinghouse, we find large netting failures if clearinghouses proliferate. Allowing for compression across clearinghouses by and large offsets this adverse effect.

Countries
Belgium, Switzerland
Keywords

Technology, Operations Research, intermediation, G.1.6, Social Sciences, multilateral netting, FOS: Economics and business, Business & Economics, 0102 Applied Mathematics, Financial networks (including contagion, systemic risk, regulation), network optimization, G10, G12, OTC markets, D53, 0802 Computation Theory and Mathematics, RISK, Science & Technology, ddc:330, Operations Research & Management Science, Financial markets, over-the-counter trading, central clearing, compression, 10003 Department of Banking and Finance, Management, 330 Economics, C61, REFORM, networks, 1503 Business and Management, derivatives, 3507 Strategy, management and organisational behaviour, G01, financial regulation, E.1, E.1; G.1.6, D85, Quantitative Finance - General Finance, General Finance (q-fin.GN), optimization, 90C08, 91G20, 91G10, 91G40

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    30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
Green
bronze