REAL-TIME GLOBAL RESEARCH
HOLT & Fundamental Research: Looking For Growth Outside the AI Theme?
Research evidence excerpt
HOLT & Fundamental Research: Looking For Growth Outside the AI Theme?
Valuation Method and Risk Statement
Equity market returns are influenced by corporate earnings, interest rates, risk premia, as well
as other variables influenced by the business cycle. The outlook for any and all of these
variables is subject to change. Forecasting earnings and corporate financial behavior is
difficult because it is affected by a wide variety of economic, financial, accounting, and
regulatory trends, as well as changes in tax policy.
The HOLT methodology does not assign ratings or a target price to a security. It is an analytical
tool that involves use of a set of proprietary quantitative algorithms and warranted value
calculations, collectively called the HOLT valuation model, that are consistently applied to all
the companies included in its database. The HOLT valuation model is a discounted cash flow
model. Third-party data (including consensus earnings estimates) are systematically translated
into a number of default variables and incorporated into the algorithms available in the HOLT
valuation model. The source financial statement, pricing, and earnings data provided by
outside data vendors are subject to quality control and may also be adjusted to more closely
measure the underlying economics of firm performance. These adjustments provide
consistency when analyzing a single company across time, or analyzing multiple companies
across industries or national borders.
The default scenario that is produced by the HOLT valuation model establishes a warranted
price that represents the expected mean value for a security based upon empirically derived
fade algorithms that forecast a firm's future return on capital and growth rates over an
extended period of time.
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