yeah..tell us something we don't know..back to examples from page one...
Stationarity is a condition whereby a profit opportunity is constrained or range-bound ...within a band ?Quote from Shanb:
If his strategy relies on stationarity and the like it sounds like a stat arb strategy.
Quote from Hammy27:
hy again...
I didn't wanted to start a discussion about the terminology of arbitrage. And I do not want to go deeper into the topic what stat arb exactly is...
If you are interested on similar strategies, have a look at this paper:
http://www.fma.org/Denver/Papers/pairetf.pdf
They use simple calculations (not even statistics) to bring up a profitable strategy. Perhaps one of you will come up with a profitable modification of the strategy (after fees).
I'm now trading the strategy I presented on Post#1. started last Friday... up 2.3%@the moment ($-neutral).
Regards
Exactly...and the point to be made: How to measure this risk in light of what happened at LTCM ?Quote from Hammy27:
..... that the spread of the two is perfectly mean reverting. And in this case we found a (relative) statistical arbitrage strategy. But that doesn't mean that there's no risk.
If you're spread trading small size and turning it over many many times per day, then there is somewhat less risk than an LTCM blow-up-the-word scenario. Many small trades with positive expectancy. Similar idea, different risk.Quote from syswizard:
Exactly...and the point to be made: How to measure this risk in light of what happened at LTCM ?
6th sigma events can be simulated, but in their case, their positions were not very liquid....and that was their big problem. So there are several factors involved in the measurement of this risk.