One of the most fascinating things I learned when I first joined the equity trading desk at Morgan Stanley during the early 1980s was how to parallel trade.
A customer order would come in to buy a million shares of General Motors (GM), and what did the in-house proprietary trading book do immediately?
It loaded the boat with the shares of Ford Motors (F).
When I asked about this tactic, I was taken away to a quiet corner of the office and read the riot act.
“This is how you legally front-run a customer,” I was told.
Buy (GM) in front of a customer order, and you will find yourself in Sing Sing shortly.
Ford (F), Toyota (TM), Nissan (NSANY), Daimler Benz (DDAIF), BMW (BMWYY), and Volkswagen (VWAPY), were all fair game.
The logic here was very simple.
Perhaps the client completed an exhaustive piece of research concluding that (GM) earnings were about to rise.
Or maybe a client's old boy network picked up some valuable insider information.
(GM) doesn’t do business in isolation. It has thousands of parts suppliers for a start. While whatever is good for (GM) is good for America, it is GREAT for the auto industry.
So through buying (F) on the back of a (GM) might not only match the (GM) share performance, it might even exceed it.
This is known as a Primary Parallel Trade.
This understanding led me on a lifelong quest to understand Cross Asset Class Correlations, which continues to this day.
Whenever you buy one thing, you buy another related thing as well, which might do considerably better.
I eventually made friends with a senior trader at Salomon Brothers while they were attempting to recruit me to run their Japanese desk.
I asked if this kind of legal front-running happened on their desk.
“Absolutely,” he responded. But he then took Cross Asset Class Correlations to a whole new level for me.
Not only did Salomon’s buy (F) in that situation, they also bought palladium (PALL).
I was puzzled. Why palladium?
Because palladium is the principal metal used in catalytic converters, it removes toxic emissions from car exhaust and has been required for every U.S.-manufactured car since 1975.
Lots of car sales, which the (GM) buying implied, ALSO meant lots of palladium buying.
And here’s the sweetener.
Palladium trading is relatively illiquid.
So, if you catch a surge in the price of this white metal, you would earn a multiple of what you would make on your boring old parallel (F) trade.
This is known in the trade as a Secondary Parallel Trade.
A few months later, Morgan Stanley sent me to an investment conference to represent the firm.
I was having lunch with a trader at Goldman Sachs (GS) who would later become a famous hedge fund manager, and asked him about the (GM)-(F)-(PALL) trade.
He said I would be an IDIOT not to take advantage of such correlations. Then he one-upped me.
You can do a Tertiary Parallel Trade here by buying mining equipment companies such as Caterpillar (CAT), Cummins (CMI), and Komatsu (KMTUY).
Since this guy was one of the smartest traders I ever ran into, I asked him if there was such a thing as a Quaternary Parallel Trade.
He answered “Abso******lutely,” as was his way.
But the first thing he always did when searching for Quaternary Parallel Trades would be to buy the country ETF for the world’s largest supplier of the commodity in question.
In the case of palladium, that would be South Africa (EZA).
Since then, I have discovered hundreds of what I call Parallel Trading Chains and have been actively making money off of them. So have you, you just haven’t realized it yet.
I could go on and on.
If you ever become puzzled or confused about a trade alert I am sending out (Why on earth is he doing THAT?), there is often a parallel trade in play.
Do this for decades as I have and you learn that some parallel trades break down and die. The cross relationships no longer function.
The best example I can think of is the photography/silver connection. When the photography business was booming, silver prices rose smartly.
Digital photography wiped out this trade, and silver-based film development is still only used by a handful of professionals and hobbyists.
Oh, and Eastman Kodak (KODK) went bankrupt in 2012.
However, it seems that whenever one Parallel Trading Chain disappears, many more replace it.
You could build chains a mile long simply based on how well Apple (AAPL) or NVIDIA (NVDA) is doing.
And guess what? There is a new parallel trade in silver developing. Whenever someone builds a solar panel anywhere in the world, they use a small amount of silver for the wiring. Build several tens of millions of solar panels and that can add up to quite a lot of silver.
What goes around comes around.
Suffice it to say that parallel trading is an incredibly useful trading strategy.
Ignore it at your peril.
