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Current Medalist Ratings do not incorporate a distinct Performance Pillar.[snip]
2. There will be no performance related input as the performance-alpha
of the old/current Medalist Ratings will be dropped.
I think that people in future may find highly-rated (new) Medalists whose performance stinks.
[snip]
Bottom line? By M*'s own analysis of comparative data,
the new Medalist Ratings will have 29.3% Gold + Silver + Bronze vs only 22.8% now.
So, the Medalist Ratings of several funds will go up and that should make fund firms
and their holders happy. Well, why not some grade inflation here?
[snip]
At your link I noticed Barron's tout for Casey's. My late father in law was a fan. But it was a small part of his portfolio, which was mostly Iowa Power and Light.WY is mentioned by Barron's - it trades well below the value of its timberland holdings.
https://ybbpersonalfinance.proboards.com/thread/964/weekly-business-digest-december-2025
M* published a lengthy 2025 Diversification Landscape report which includes numerous
does anyone use this for allocation\buy\sell decision making?
1,3,5,10yr ? weighted?
annoying m* doesnt provide this simple analytic.
Thanks for the update!Update: For some reason, Fido can't get rid of the notice on the preview page that there's a TF
($49.95) for any purchase of any NTF fund. But, a csr told me today, the TF will not be charged.
I tested that assertion today, and it seems to be right.
Guess I'll see tonight when the transaction actually goes through.
Quantifying how diversified is a universe of assets is an open problem in quantitative finance, partly because there is no definite formula for diversification1.
Let’s make the (reasonable) assumption that the way assets are moving together within a universe is important for its diversification.
This in turn makes asset correlations within a universe important in determining how diversified it is.
...Results
The results obtained are remarkably consistent with those of Fleming and Kroeske(8):
The effective rank varies a lot through time(14), as illustrated on Figure 3
Evolution of the effective rank
Figure 3. Evolution of the effective rank
The proportion of total variance explained is both very high and very stable through time(15), as illustrated on Figure 4.
Figure 4. Proportion of the total variance explained
Another possible usage of the matrix effective rank, hinted in Fleming and Kroeske(8), is to use it as an indicator of systemic risk.
Indeed, it appears that the matrix effective rank bottoms around market crashes (financial crisis of 2007–2008, Corona crisis of 2020…).
Maybe a subject for another time…
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