RT Journal Article
SR Electronic
T1 Counterparty Risk Minimization by the Optimal Netting of OTC Derivative Trades
JF The Journal of Derivatives
FD Institutional Investor Journals
SP 48
OP 65
DO 10.3905/jod.2016.24.2.048
VO 24
IS 2
A1 Dominic O’Kane
YR 2016
UL https://pm-research.com/content/24/2/48.abstract
AB The OTC derivatives market has always suffered from the fact that there are generally many contracts among market intermediaries where neither counterparty is an end-user. Active OTC market makers may have thousands of very similar contracts with one another. To the extent that each one needs to be monitored and margined, substantial improvements in efficiency may be possible through “compression” trades in which sets of existing contracts are replaced by a smaller number of essentially equivalent new ones among the same counterparties. But how best to minimize counterparty risk exposures without mismatching terms? In this article, O’Kane explains how compression is currently done for interest rate swaps and reviews both linear and quadratic programming approaches. Using simulation, he explores how the possible degree of compression is affected by the number of trades and the number of counterparties involved. The linear compression algorithm appears to allow more full unwinds of existing contracts than the quadratic algorithm, which is a feature highly desired by the firms in the industry.TOPICS: Interest-rate and currency swaps, quantitative methods