Dynamic asset allocation strategy through composite leading indicator
Posted: Thu Feb 02, 2012 9:32 am
So many times I am confused whether to implement dynamic asset allocation strategy or just simply adhering to 1/N allocation.
I have tried to develop trustworthy market timing signal to use dynamic asset allocation by trend following strategy, but only to fail, not because I could not generate beautiful equity curve, but
it's fundamental problem, overoptimization and curve-fitting, lack of universality.
Alternative approach I tried was risk parity or volatility based approach which I found was more reliable and logical. I used 10month trailing volatility based on coefficient of variation, which was found to be
quite successful, although it's controversal to implement this approach considering tax problem. However, at least it was successful in my backtest using stock and bond. At least, it has shown superior less
volatility compared to simple 1/N approach over unstable market condition.
I think this approach should be differentiated by conventional market timing approach, as it is proven that usually increasing volatility is related to higher risk, and usually it is assoaciated with
market decline. Risk parity or volatility based method does not expect any direction of market, but it only control risk at the same level between negatively correlated assets, generating alpha not by predicting
market direction but controlling risk.
Another approach I've recently tried which was found to be quite successful is using composite leading indicator for asset allocation.
It is well known that composite leading indicator is a very reliable fundamental indicator predicting and reflecting future movement of market price, with less whipsaw compared to market price itself.
In my approach, if composite leading indicator(monthly basis) increase on 3 consecutive period, stock/bond ratio = 75/25, and decrease 3 consecutive periods the ratio is reversed.
The allocation ratio of stock/bond depends on your personal taste. If you are aggressive it could be 80/20, and if you are conservative it could be 60/40.
I have tested this strategy which was quite impressing, but I don't know how I should post the equity curve and the result.
Yes, it's a kind of market timing strategy, on which quite a lot of you may show abhorrance, "Market timing is totally useless, garbage, trash, overoptimization....etc..."
but I think it's fundamentally different from conventional market timing strategy on these aspects.
1. Not price action based technical approach, fundamental based approach
2. By using leading indicator for market index, conventional time-lag problem for market timing or trend following strategy is somewhat compensated.
3. Less whipsaw and superior smoothness compared to market price only based approach
For this reason, although simple 3 consecutive month based momentum strategy is a kind of market timing approach, the result is completely different whether it is based on fundamentally leading indicator or
mechanical market price itself.
I recommend you to try this approach, composite leading indicator could be obtained from http://stats.oecd.org/Index.aspx?datasetcode=MEI_CLI
I have tried to develop trustworthy market timing signal to use dynamic asset allocation by trend following strategy, but only to fail, not because I could not generate beautiful equity curve, but
it's fundamental problem, overoptimization and curve-fitting, lack of universality.
Alternative approach I tried was risk parity or volatility based approach which I found was more reliable and logical. I used 10month trailing volatility based on coefficient of variation, which was found to be
quite successful, although it's controversal to implement this approach considering tax problem. However, at least it was successful in my backtest using stock and bond. At least, it has shown superior less
volatility compared to simple 1/N approach over unstable market condition.
I think this approach should be differentiated by conventional market timing approach, as it is proven that usually increasing volatility is related to higher risk, and usually it is assoaciated with
market decline. Risk parity or volatility based method does not expect any direction of market, but it only control risk at the same level between negatively correlated assets, generating alpha not by predicting
market direction but controlling risk.
Another approach I've recently tried which was found to be quite successful is using composite leading indicator for asset allocation.
It is well known that composite leading indicator is a very reliable fundamental indicator predicting and reflecting future movement of market price, with less whipsaw compared to market price itself.
In my approach, if composite leading indicator(monthly basis) increase on 3 consecutive period, stock/bond ratio = 75/25, and decrease 3 consecutive periods the ratio is reversed.
The allocation ratio of stock/bond depends on your personal taste. If you are aggressive it could be 80/20, and if you are conservative it could be 60/40.
I have tested this strategy which was quite impressing, but I don't know how I should post the equity curve and the result.
Yes, it's a kind of market timing strategy, on which quite a lot of you may show abhorrance, "Market timing is totally useless, garbage, trash, overoptimization....etc..."
but I think it's fundamentally different from conventional market timing strategy on these aspects.
1. Not price action based technical approach, fundamental based approach
2. By using leading indicator for market index, conventional time-lag problem for market timing or trend following strategy is somewhat compensated.
3. Less whipsaw and superior smoothness compared to market price only based approach
For this reason, although simple 3 consecutive month based momentum strategy is a kind of market timing approach, the result is completely different whether it is based on fundamentally leading indicator or
mechanical market price itself.
I recommend you to try this approach, composite leading indicator could be obtained from http://stats.oecd.org/Index.aspx?datasetcode=MEI_CLI