Why Fundamentals Fail the New Economy | Jacob Pozharny on “Sentiment” Analysis’ Role in New Economy Stocks
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The traditional tools of fundamental analysis—like price-to-earnings ratios and discounted cash flow models—are failing in the new economy, where intangible assets such as intellectual property, customer relationships, and brand value dominate. Jacob Pozharny of Bridgeway Capital Management argues that companies in sectors like biotech, software, and semiconductors are systematically misvalued by conventional metrics because accounting standards fail to capture the true value of R&D and customer loyalty. Instead, Pozharny’s firm uses a dual approach: deep sentiment analysis for high-intangible industries and traditional fundamentals for old economy stocks. Their proprietary sentiment model, which tracks sell-side analyst accuracy and buy-side borrow availability, identifies mispricings before they’re reflected in prices. They also use textual analysis of earnings calls and regulatory filings to detect early warning signs in corporate narratives—especially in energy and defense sectors amid geopolitical turmoil. The result is a strategy that targets dislocations across 10,000 global stocks, with a 53–55% win rate over time, and a focus on mid- and small-cap opportunities outside the U.S., where inefficiencies are greatest. The approach is not a black box but a systematic, transparent process designed to find alpha in noise.
Traditional fundamental analysis fails for new economy stocks because accounting standards don’t capture intangible assets like R&D, brand, and customer relationships.
High-intangible industries like biotech and software show flat or negative correlation between profitability and valuation—meaning high ROE doesn’t guarantee a high price-to-book multiple.
Bridgeway uses a bifurcated approach: sentiment analysis dominates for new economy stocks, while fundamental analysis drives old economy selections.
Sentiment is measured through sell-side analyst accuracy and buy-side borrow availability—two data sets that signal market shifts before consensus forms.
Textual analysis of earnings calls and filings (via the Computex dataset) detects early dislocations in corporate narratives, especially in energy and defense sectors amid geopolitical shocks.
…and 3 more takeaways available in PodZeus
Sponsor: HFGM Global Macro ETF
The episode begins with a sponsor read for the HFGM global macro ETF, highlighting its Morningstar top-rated status, transparency, and access to alternative strategies without typical private fund barriers like high minimums and K1 forms.
Defining Old vs. New Economy Stocks
Jacob Pozharny defines new economy stocks as those driven by intangible assets (e.g., software, biotech, semiconductors), where traditional fundamental metrics like P/E and ROE fail to predict performance, unlike old economy stocks (e.g., autos, consumer staples) where fundamentals still work.
The PBROE Model: Why Fundamentals Break Down
A scatter chart shows that for old economy industries, higher profitability correlates with higher valuation multiples, but for new economy sectors, this relationship is flat or negative—proving that fundamentals are no longer predictive.
Why R&D and Customer Relationships Skew Financials
R&D expenses reduce earnings and book value, making companies look expensive despite investing in future value. Customer relationships (e.g., Amazon) aren’t captured in financial statements, distorting ROE and P/B ratios.
Sentiment Analysis: The New Edge in Investing
Bridgeway uses sentiment analysis as a core tool for new economy stocks, measuring sell-side analyst accuracy and buy-side borrow availability to detect early shifts in market sentiment before they’re priced in.
“We don't have to be right 90% of the time. We don't have to be right even 70% of the time. We have to be right 53%, 54% of the time finding dislocation like this in the market in order to be effective.”
“The market doesn't understand the underlying financials. And there you see a flat correlation, slightly negative correlation between the valuation level and the profitability level.”
“types of screens is forget the type of model assumptions that are driving your stock screens.”
Host
Guest
Jacob Pozharny
person
Bridgeway Capital Management
organization
Computex
other
Iran war
other
Petrobras
organization
HFGM
product
South Africa
place
Brazil
place
Orient Hong Kong
organization
Unlimited ETFs
organization
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