Research Portfolio
The Bassi Investments research portfolio is based on the powerful
research finding
that firms making large investments in employee education and training
subsequently perform better on the stock market than comparable
firms making smaller investments in training. It is a selection
of companies derived from that research that is used in developing
and validating the Bassi Model™ for prospective holdings.
The Bassi Model uses proprietary algorithms to combine per capita
training expenditures and a small number of traditional financial
measures to create Bassi Model scores. This provides us with the
information necessary to (1) select recommended portfolios and (2)
assign relative portfolio weights for each portfolio based on expected
return from the research model.
The outcomes of the Bassi Research Portfolio were rigorously tested,
with HYPOTHETICAL results available in our back-tested performance datasheet.
NOTES: This page includes discussion of past research results involving
the performance of a HYPOTHETICAL set of portfolio recommendations.
They represent the back-tested performance of a series of annual
portfolios selected based on Bassi Investments’ proprietary
model. There are limitations inherent in model results, including
the fact that the results do not represent actual trading and may
not reflect the impact of material economic and market factors on
the advisor's qualitative decisions when managing client assets.
The hypothetical results include the performance of securities and
classes of securities that are not included in Bassi Investments’
current portfolio recommendations. The model is frequently revised,
and such revisions may affect future results. Actual and hypothetical
Bassi Investments performance include dividend reinvestment and
are reported after deducting all fees (management, brokerage, and
custodial). This hypothetical performance is not a guarantee of
future results and is not indicative of actual results for any past
or present clients. Your actual performance may vary.
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