Portfolio Optimization
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- Roundtable Fellow
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- Joined: Sat Apr 26, 2003 10:31 pm
- Location: Oakville, Canada
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Rabidric and Stan,
You both touch on either end of something I often reflect upon when developing trend trading systems. There is a continuum with "optimal trading system that makes buckets of dough from return" on one end and "optimal trading system for attracting business to make buckets of dough from raising assets" on the other end.
One would think that naturally all clients would want the best return they can get over their time horizon. However, in general, (there are always exceptions) high returns do not attract as many assets as low volatility.
In simple terms, most people are responsible with and work really hard for their money. These same people do not know much about the investment business let alone our unique niche. When they decide to give some responsibility to an outside manager, they tend to be cautious. I think this is pretty natural. Have you ever noticed that you are more nervous in the passenger seat with a driver you do not know well than you are when behind the wheel yourself?
The fact is that there are not as many people with the balls, guts and understanding of this niche to attract a lot of capital to the optimal return model. However, building a business can be done here.
There are lots of people who want a smooth ride and the comfort of a large organization. Return is not as important to these people. You can build a hell of a business but you might not be as proud of your returns over time.
Needless to say, understanding where you fit on this continuum is important. Both ends have their merits. Most of us find a place in between.
You both touch on either end of something I often reflect upon when developing trend trading systems. There is a continuum with "optimal trading system that makes buckets of dough from return" on one end and "optimal trading system for attracting business to make buckets of dough from raising assets" on the other end.
One would think that naturally all clients would want the best return they can get over their time horizon. However, in general, (there are always exceptions) high returns do not attract as many assets as low volatility.
In simple terms, most people are responsible with and work really hard for their money. These same people do not know much about the investment business let alone our unique niche. When they decide to give some responsibility to an outside manager, they tend to be cautious. I think this is pretty natural. Have you ever noticed that you are more nervous in the passenger seat with a driver you do not know well than you are when behind the wheel yourself?
The fact is that there are not as many people with the balls, guts and understanding of this niche to attract a lot of capital to the optimal return model. However, building a business can be done here.
There are lots of people who want a smooth ride and the comfort of a large organization. Return is not as important to these people. You can build a hell of a business but you might not be as proud of your returns over time.
Needless to say, understanding where you fit on this continuum is important. Both ends have their merits. Most of us find a place in between.
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- Roundtable Knight
- Posts: 144
- Joined: Mon Apr 19, 2004 3:04 pm
- Location: Old Europe
so back to optimization...Pork Bellies is nto something to trade with as a trend follower . the best results for bellies was 28/180 crossover exp averages and as you results are not promising (performance results on 1 contract)
- Attachments
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- W.GIF (28.2 KiB) Viewed 10674 times
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- W1.GIF (23.43 KiB) Viewed 10672 times
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- W2.GIF (14.78 KiB) Viewed 10672 times
By optimizing, its for the first that my dual system can beat buy and hold in Eurodollars. the best pair is 7/166 (I didn't go higher than 180 days mov avg in optimization). Results are quite good with profit Factor 7.
(performance results table on 1 contract). Something for an unsophisticated trend followe to go with
(performance results table on 1 contract). Something for an unsophisticated trend followe to go with
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- Eurodollar
- WA.GIF (14.89 KiB) Viewed 10671 times
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- eurodollar
- WA1.GIF (18.15 KiB) Viewed 10671 times
jason- true, but i think you have slightly misinterpreted my point, what you describe appears to be more a question of investors and their appetite for leverage.
I was trying to convey that by optimizing on historical smoothness, you increase the chance of departure from this in walkforward. accepting a "rougher" historical equity curve, is less likely to dissapoint in the future.
things that appear to have great Sharpe/MAR ratios that you can leverage the heck out of, usually aren't the full six-pack. i.e. you may have great favourable skew and kurtosis on your trade distribution, but your Long Term(Capital Management ) return/drawdown distribution probably has the exact opposite characteristics.
if your investors are risk averse, then just use low leverage.
maybe you won't be able to quote such great historical MARs with my "rough equity curve", but then you maybe won't have to explain why you aren't meeting expectations either....
ok sorry BARLI, back to your curves...
I was trying to convey that by optimizing on historical smoothness, you increase the chance of departure from this in walkforward. accepting a "rougher" historical equity curve, is less likely to dissapoint in the future.
things that appear to have great Sharpe/MAR ratios that you can leverage the heck out of, usually aren't the full six-pack. i.e. you may have great favourable skew and kurtosis on your trade distribution, but your Long Term(Capital Management ) return/drawdown distribution probably has the exact opposite characteristics.
if your investors are risk averse, then just use low leverage.
maybe you won't be able to quote such great historical MARs with my "rough equity curve", but then you maybe won't have to explain why you aren't meeting expectations either....
ok sorry BARLI, back to your curves...
Forum Mgmnt, I've run exhaustive optimization up to 180 day(dual crossover exp mov average) on each single commodity , total 36, and then came with the average as:
36 values exp avg Fast Exp avg/36
and 36 values of exp Slow avg /36
so i got 2 averages one is for the slow and one is for the fast. I guess its how exhaustive portfolio optimization can be done
36 values exp avg Fast Exp avg/36
and 36 values of exp Slow avg /36
so i got 2 averages one is for the slow and one is for the fast. I guess its how exhaustive portfolio optimization can be done
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- Roundtable Fellow
- Posts: 60
- Joined: Sat Feb 07, 2004 10:34 am
- Location: Washington DC
For what it's worth, here is the procedure I would use if I were you:
- Choose a range pf parameter values for #days(fastEMA) and #days(slowEMA)
- Choose a stoploss
- Choose a portfolio
- Choose settings for slippage and commissions
- Run backtest simulations of the above
- Export the simulation results to Excel for plotting
- Use Excel to make a contour plot of Modified Sharpe Ratio, and MAR Ratio
- Choose a parameter set with Delightful performance, whose surrounding neighbors also have Delightful performance
- Run a backtest simulation of the chosen parameter set.
- Attachments
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- Contour plot of MAR ratio
- contour_mar.png (60.92 KiB) Viewed 10403 times
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- Contour plot of Modified Sharpe ratio
- contour_sharpe.png (62.28 KiB) Viewed 10403 times
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- Simulation setup showing parameter ranges
- EMA2_setup.png (43.94 KiB) Viewed 10402 times
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- Roundtable Fellow
- Posts: 60
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- Location: Washington DC