Yep all of my 30+ positions went against me for days. So much for diversification and noncorrelation. But thanks to not getting stopped out, I'm now back in positive territory for the year. It could have all ended differently of course.
What a roller coaster.
In your experience as a system trader... 80/40 or 40/40 ?

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Good point, your example couldn't be any clearer and fresh to mind.
Have you done such research on historical JOINT distribution of daily returns?
I'm not sure how one would go about creating synthetic price series that could reflect both each market's daily return distribution and the correlation of each of those daily returns between each market.
Since the correlation between markets varies on a daily basis, do you:
1  Compute correlation for each market using yesterday's data.
2  Then sample daily returns for each markets by filtering on current correlation level. (If yesterday's correlation for a market is positive, only consider the historical daily returns of that market where the correlation of the previous day was also positive.)
3  Project price series forward with sample obtained.
One could probably put historical daily correlations into norrower bins then "Positive vs. Negative" to narrow down on daily returns with correlation levels as similar as possible.
Thanks for replying
Have you done such research on historical JOINT distribution of daily returns?
I'm not sure how one would go about creating synthetic price series that could reflect both each market's daily return distribution and the correlation of each of those daily returns between each market.
Since the correlation between markets varies on a daily basis, do you:
1  Compute correlation for each market using yesterday's data.
2  Then sample daily returns for each markets by filtering on current correlation level. (If yesterday's correlation for a market is positive, only consider the historical daily returns of that market where the correlation of the previous day was also positive.)
3  Project price series forward with sample obtained.
One could probably put historical daily correlations into norrower bins then "Positive vs. Negative" to narrow down on daily returns with correlation levels as similar as possible.
Thanks for replying
The folks over at the RiskMetrics Group have thought long and hard about this subject: http://www.riskmetrics.com/stressovv.html
The full article can be found starting on page 61 of the following document: http://www.gloriamundi.org/picsresources/jkcf.pdf
Interesting approach but not trivial to implement. Even if the approach is implemented, how do we incorporate the results into our everyday trading? Perhaps one way is to modestly limit exposure to groups of markets that tend to have high absolute correlations during "hectic" periods. Ah, the trade off between risk and return...
The full article can be found starting on page 61 of the following document: http://www.gloriamundi.org/picsresources/jkcf.pdf
Interesting approach but not trivial to implement. Even if the approach is implemented, how do we incorporate the results into our everyday trading? Perhaps one way is to modestly limit exposure to groups of markets that tend to have high absolute correlations during "hectic" periods. Ah, the trade off between risk and return...
Ever tryed to exit 2000 Orange Juice futures when your stop gets triggered, or initiating a new position with 1500 Coffee futures? If you do so you probably appear on National Television later that day!!!
Did you take liquidity into account. I see many markets in your test that won't allow for relatively large positions without being killed.
Rg,
C
Did you take liquidity into account. I see many markets in your test that won't allow for relatively large positions without being killed.
Rg,
C