Optimising the Compression Cycle: Algorithms for Multilateral Netting in OTC Derivatives Markets

Dominic O'Kane: Concerns about systemic credit risk in the financial system due to the OTC derivatives market has encouraged the use of counterparty credit risk mitigation techniques, including the use of compression.

Author(s):

Dominic OKane

Affiliated Professor in Finance, EDHEC Business School

In compression, market participants share position information via a third party company, TriOptima, which then proposes a set of trades which will “compress” their multilateral exposures. In this paper we propose and analyse a set of optimal compression algorithms for fungible derivatives. We find that they all perform extremely well across a range of criteria and we discuss their relative attributes. Our focus is on the CDS market, although the methods analysed here can be applied to other OTC derivative markets. We argue that, if done optimally, compression is an effective counterparty risk mitigation technique that should be encouraged by regulators, especially as we show that the benefits increase dramatically with the number of participants.

Type: Working paper
Date: le 19/03/2014
Research Cluster : Finance

See Also

EDHEC Faculty welcomes Oxford professor Renée B. Adams for a reseach seminar
News
- 11-09-2019
On September 12, 2019, EDHEC faculty will be delighted to welcome Oxford professor...
Riccardo Rebonato will unveil the results of the 12th EDHEC-Risk European ETF & Smart Beta Survey on Sept 23 in London
News
- 03-09-2019
Riccardo Rebonato, Professor of Finance, EDHEC Business School, EDHEC-Risk Institute,...
Launch of the
News
- 03-09-2019
EDHEC Business School and Scientific Beta have announced the launch of the “Advanced...
8 professors appointed in 2019-2020
News
- 27-08-2019
EDHEC Business School appointed 8 new professors for the 2019-2020 academic year. Six...