Quote from cooper1308:
I've got to the point where I don't even give too much attention to past profitability......I find it can be a little misleading.
I could give you 500 pairs with 100% hit rate and huge profitability. I still wouldn't touch these with a 10 foot pole.
If the relationship breaks down, we have a 50/50 chance of it breaking down in our favour. However, it is what happens after the fact that presents our problem....
The current ratio will always outpace the MA. Trends in favour will be closed out pretty quick as the current crosses the MA......However, if it moves against us, then MA will begin the dreaded "chase" of the current..
Therefore when a relationship breaks down, the times the breakdown moves against us the loser will always be significantly larger than winner. Which puts a large amount of pressure on our winrate and av win...
Contrary to what I first believed, I think having a sound fundamental grasp can provide a huge edge in pairs trading. Some pairs which have had huge moves against me, i've used some discretion and taken the view it's just an over-reaction to innocuous news. I've then held and they came good.
Thanks Cooper,
Apologies for the staccato nature of this post, I had written a longer version in an edit of my last post but, infuriatingly, I lost it in the 30mins time-out rule when I tried to post.
Agree 100% on the need for discretion in selecting pairs. Pairs are pairs because their strategic end markets are similar and therefore there profit drivers will be NOT because their price charts happen to look the same. I wouldn't short the next move in coast line of Miami just because it's shape diverges from the chart of IBM!
I'm basing my trading on discretionary & quantitative filters to select the universe of stocks and then developing a quantitative entry/exit point system in order to trade. It logically follows that I should have a quantitaive way of defining when the realationship breaks down and the pair is no longer a pair.
This problem has been discussed on this thread, but as yet, I have not seen any articulation of an adequate solution to it. At least to me! To get some discussion going, I will tell you what I have tried.
I have backtested my universe of pairs, using a relatively conservative entry/exit signal system and used the following criteria. 1/ 2% stop loss 2/ 3% stop loss 3/ no stop loss. Note the '% stop loss' just refers to the percentage loss on the trade. I appreciate that the individual volatility of the trade should be taken into account, but I am looking for a simple system here with a consistent trade size.
My results are linear in their optimisation...
1/ 2% stop loss. W/L ratio 1.16 W/L prob .67
2/ 3% stop loss. W/L ratio 1.39 W/L prob=.7
3/ No stop loss. W/L ratio 1.66 W/L prob=.72
based on 100+ pairs measured over 2 years. Clearly the stop-loss tends to erode the potential return. Also, all three expectations are strongly positive.
I have real time tested the conclusion via trading (with the optimal no stop loss option). Admittedly, my sample size is still small (35 trades so far) but already, I am finding that I am getting too many larger losing trades. This maybe due to...
a/ small sample size error
b/ my universe of pairs are 'pre-selected' and maybe biased and therefore not indicative of future results.
My suspicion is that 'b' is the reason. Furthermore, applying the same logic means that even the 3% option may not work along with the theoretical results. I am happy to be proved wrong!
For other examples of relationships that break down (like UPS FDX) see CNA ALL & LOW HD, or even my current bete noire of AMAT-LRCX & DCI-PH.
Applying discretion to exiting trades is, for me, fraught with difficulty because when we go through bad patches (as we all will) it will be very difficult to retain focus on the discipline of the 'trading compass'.
Am happy to share this info, and learn more about how others deal with this problem. It strikes me as being THE integral issue behind pair trading.