Quote from reactor:
Hi all,
I've read all of this thread and have noted a few issues.
Everyone mentions correlations and ratios, but has anyone tested these for their statistical significance?
I'm coming from the statistical arbitrage perspective, and based on the regressions I've done, it is more important that the pair are cointergrated. Then it is just a question of plotting the standard errors and identifying by eye what level to put the trades on. Hence no use of technical analysis or fundamental analysis.
I think this is why some have blown up doing pairs trading, because they are thinking that if the pair are correlated and have been trading in a certain ratio, then it is a good pair to trade. What you have to bear in mind is when something is correlated, all it means is if it goes up, so does X and if it goes down, so does X. There is no reason they should converge or diverge. Or put another way, just because they are correlated, doesn't mean they are cointegrated.
Competition has taken away alot of the profits available in pairs trading. Given the 10,000 pairs I've looked at and their profitability of at best 8% per annum in the last year, you might as well invest in an index tracker, and save the effort.
If you want to know how it is done properly, read Pairs Trading Quantitative Methods and Analysis by Ganapathy Vidyamurthy.
With all due respect...
You miss the forest by focusing on a tree...
That hoary old correlated versus cointegrated mind f*ck...
And your conclusion is simply not correct.
There are 1000s of quality Listed pair combinations...
And a pair must satisfy a mathematical corelation such as > 0.90 over medium term 3-6 months...
And make sense...
Meaning one would rationally expect these 2 securities to be highly corelated.
Also in the real world...
Quants traded basket of corelated securities...
So the focus is never on a single pair.
It's best to corelate a universe of stocks to an "index"...
Such as a 100 gold mining stocks to the price of gold...
To give a very volatile, but probably viable, example.
One might be long 20 gold stocks and short 20 gold stocks...
And trade in and out in high volume... all in the context of the price of gold.
It's really all about volume, volume, and volume...
In post-decimalization 2006.
But there is no easy money lying on The Street...
And this requires lots of very expensive propriatary software...
And execution MUST be in the hands of a very experienced traders...
Because in the above example universe (which I do not trade)...
There would be many pitfalls ** specific to ** the gold mine universe...
That could never be screened out in a quantitative manner...
But require highly experienced decision making.
Why?
Because AI software... specifically "expert systems"...
Are not anywhere close to the point...
Where it could beat a pro poker player...
Or match the complex and real-time decision making of a pro trader.