A Journey Through the World of Compression with IRS Contracts

Abstract: By participating in the market a party buys and sells different types of contracts resulting in the collection of contracts growing. With a large collection of contracts come the hurdles of an increasing operational cost, a harder-to-manage order book, and an increase in counterparty risk. To combat these problems we set out to minimize the size and quantity of contracts by performing what is called a compression. We have looked into three different types of compression methods for interest rate swap contracts. One method is specialized for central clearing, Coupon Blending, and two methods for bilateral clearing, Closed Loops, and the Network Simplex Method. By using Monte Carlo Simulations, all three methods could be compared to one another to conclude the significant findings. The clear winner for centrally cleared contracts was Coupon Blending which could terminate over 92% of the contracts, and reduce the total absolute size of the contracts by over 75%. Network Simplex came in as a close second which could also reduce the total absolute size of the contracts by over 75% but only terminate 86%. Coupon Blending and Network Simplex, both had very similar accuracy in their compression. However, NetworkSimplex performed better at keeping the system’s total risk intact. For bilateral clearing, NetworkSimplex performed the best where the Closed Loops strategy was not an optimized approach.