Every year I need to remind myself that the expanding data
sets upon which we rely are wonderful in the aura of transparency and comfort
that we can study the numbers and analysis and relax about the details. Back tests?
Challenges to granularity?
Scrutiny of the methodology? That
is a lot of work.
With the recent increase in volatility, I need a reminder. Each
year I take a peek, in a granular way, and note that at the roots and drivers
of the data we find:
Sentiment
Confidence
Animal
Spirits
Reputation
Culture
All the usual qualitative inputs to the models, trends
analysis, stress tests, and polls. Now
(as they say more than ever) these qualitative elements are imbedded and rarely
documented at the root of the inputs to the analysis. Cultural bias to polls. Reputation to appraisal. Animal spirits (pick
your animal) for the markets. Confidence and reputation everywhere.
In isolation, these qualitative components are small if not
trivial; but compounded, even additive; they have the potential for
significance and materiality (even if they are masked through netting). Thus
this is a note to myself reminding me to dig a bit into the data before
relaxing in the results.
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