When I ask for evidence, what I am interested in is some kind of documented record. You said
"If you want proof that Extreme Value Theory works check out my fund Aston Smart Portfolios Allocation Fund 'ASENX'. "
You suggested ASENX as evidence of your better approach and it has not out-performed a generic benchmark so far--it tracks perfectly in fact with a target date fund with the same FI allocation (STLBX). But ASENX has like 400% annual turnover which means that you would need to dramatically out-perform if this were a taxable account, too.Your mutual fund using your approach certainly counts--and we can keep an eye on that.
Just saying that your method is superior or mentioning things like GARCH or EVT does not provide any concrete support---its just jargon until you demonstrate something. This is where publications are really useful--you can publish examples from your models on a forum like SA and then see how they have done. You could also have an objective / standard model that other people can test--as I have discussed in my article here.
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SmartETF:
Oct 23 17:27 pm
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All Comments by Geoff Considine »Testing Forward Looking Asset Allocation [View article]
When I ask for evidence, what I am interested in is some kind of documented record. You said
"If you want proof that Extreme Value Theory works check out my fund Aston Smart Portfolios Allocation Fund 'ASENX'. "
You suggested ASENX as evidence of your better approach and it has not out-performed a generic benchmark so far--it tracks perfectly in fact with a target date fund with the same FI allocation (STLBX). But ASENX has like 400% annual turnover which means that you would need to dramatically out-perform if this were a taxable account, too.Your mutual fund using your approach certainly counts--and we can keep an eye on that.
Just saying that your method is superior or mentioning things like GARCH or EVT does not provide any concrete support---its just jargon until you demonstrate something. This is where publications are really useful--you can publish examples from your models on a forum like SA and then see how they have done. You could also have an objective / standard model that other people can test--as I have discussed in my article here.