Clarus Financial Technology

Optimizing Swaps Margin Across Brokers

Back in August I wrote an article about how large, self-clearing firms can reduce the amount of capital required to support their cleared business by wisely choosing to backload margin-reducing bilateral trades.

While I wrote that about large banks, there is an analogous case for trading firms that do not self-clear.  In fact, we’ve been recently surprised by the significant amount of low-hanging fruit sitting in most portfolios.  More specifically, it would seem that a typical buyside or trading firm can save a significant amount on initial margin by simply porting a few trades on occasion.

Typical Trading Firm Account Structure

Trading firms tend to have multiple FCM relationships.  This is slightly counter-intuitive, given that the most optimum use of funds would be to put everything through one FCM.  Of course the issue there becomes that you have all of your eggs in one basket, which exposes you to:

Probably fair to say that firms might also get better execution services across a variety of FCMs.  And don’t forget that most firms will have both a CME and LCH account at each FCM.  Hence a typical firm might have 6 accounts spread across 3 FCM’s, which might look like the following:

The Problem

Let’s begin with an example of a firm with these 6 accounts.  Starting with a simple calculation of margin for each account:

Typical example of 6 accounts and their related margin

Showing that this firm has a total initial margin of $304 million pledged to their 3 FCM’s across all 6 accounts.

The question: how can you reduce this total margin requirement by doing nothing other than a simple operational procedure?

The answer is of course to move (aka port) trades from one FCM to the other.  But how do you identify which trades to port?

You could attempt to identify risk profiles in each account and try to minimize any large concentrations, but there are multiple problems associated with such a simple approach:

On the other end of the spectrum, a thorough process of testing the margin impact of every trade is very iterative.  If you had just 100 trades in 3 accounts, and wanted to test every permutation, it requires:

So, creative shortcuts are too short-sighted and may not consider some complexities; and iterative processes are very computationally intense.

Good Solution

Of course I wouldn’t have written this if we hadn’t solved this problem.  I won’t go into any detail on the secret sauce, but it involves a combination of smarts and computational efficiency.  Having run the optimization on my sample CME accounts, I get the following:

Margin savings determined by simulating the porting of trades

This identifies cumulative margin efficiencies I can expect by porting trades between accounts.  For example, the top left value tells me that there exists one trade at FCM-1 that I can port to FCM-3 that would immediately save me $12.7 million in margin.  If I drill into this, I can see why:

Explanation of the effects from moving the optimum single trade

Moving this trade would save $15.4 million at one account, and only increase the target account by $2.6 million.

However, I would think if you were going to go through the process of porting trades, you would want to do a handful for any single given FCM.  Why not?  Hence I might choose to move 4 trades from FCM-1 to FCM-2, as that seems to be the greatest single-account movement I can reduce margin by approximately $32 million.  The service tells you the 4 trade ID’s you need to instruct to be ported:

Details on the 4 trades to be ported

By doing so, we have quickly saved 10% ($32 million out of $304 million) by doing one account transfer of 4 trades at one clearing house.  I still have 2 other CME accounts and all 3 LCH accounts to attempt.

Couple final things to mention:

Summary

If you have interest in this process, we want to help you.  Just contact us.

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