Understandable Artificial Intelligence
A Tax Sensitivity Example
©2018 Economic Data Sciences
For this example we use the following assumptions and goals:
Our A.I. evaluated a universe of 2,743 funds
©2018 Economic Data Sciences
©2018 Economic Data Sciences
©2018 Economic Data Sciences
We focus on 12 metrics in our base case
©2018 Economic Data Sciences
We can break down portfolio decisions by any metric/group
©2018 Economic Data Sciences
©2018 Economic Data Sciences
©2018 Economic Data Sciences
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Using our example goals we have set out a neutral 'base' portfolio
We compare that to the average mixed allocation fund
©2018 Economic Data Sciences
Building on traditional foundations we use the same trade-off methodology across all investor preferences to 'get the most' from each
©2018 Economic Data Sciences
©2018 Economic Data Sciences
High Income and High Growth
Exploring trade-offs allows us to express individual preferences
©2018 Economic Data Sciences
©2018 Economic Data Sciences
It is possible to express any type of preference among these 12, or any other combination that you desire
©2018 Economic Data Sciences
©2018 Economic Data Sciences
©2018 Economic Data Sciences
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