True North Research Report No. TNR-2026-01
Sentiment as Substrate: An Expanded Theory For Markets & Valuation
"For the most part we do not first see, and then define, we define first and then see. In the great blooming, buzzing confusion of the outer world we pick out what our culture has already defined for us, and we tend to perceive that which we have picked out in the form stereotyped for us by our culture."1
Abstract
This essay argues that sentiment is not a distortion of an unbiased, objective market, but the constitutive substrate of price formation. Through a systematic examination of valuation methodologies and mechanics, the essay demonstrates that financial data remains inert without narrative context and that valuation multiples measure the distance collective belief has drifted from parity benchmarks rooted in mathematical identity or market convention. The mathematical identity of “1” is exposed as a zero-justification point of origin present in every valuation methodology, reframing existing metrics as quantifiable expressions of sentiment and not absolute measures of objective value. Deconstructions of financial concepts we leverage for insight into objective value (including Discounted Cash Flow Analysis, Intrinsic Value, and the Efficient Market Hypothesis) reveal a dependence on the subjectivity they claim to transcend.
The resulting causal chain is: sentiment initiates the conviction that commits capital; price records the settlement of competing convictions; valuation rationalizes the distance that settlement has traveled from an anchor. Reflexivity is conceptualized as the propagation mechanism through which sentiment-driven positioning compounds, distinguishing it from the originating (and necessary) impulse itself. Volatility, generally treated as an intrinsic property of assets, is reframed as the amplitude of sentiment revisions, with implied volatility representing second-order sentiment about the durability of those revisions. The nature of volatility (while not a necessary precondition of market activity) further extends the ontological reach of the established causal chain, recording the rate at which settlement is contested and beliefs are revised.
The Fundamental Objections section addresses potential sophisticated counterarguments to expand theoretical applicability and defend conceptual validity. These include, but are not limited to, mechanical arbitrage, the impacts of algorithmic trading, passive indexing, and fixed-income instruments. The essay concludes by exploring the empirical implications of novel operationalizing of sentiment, and suggests avenues for future research on how sentiment distributes across market channels. The essay does not deny the value of disciplined analysis, and aims to redirect investors from the impossible task of discovering objective value to the discipline of forming and informing beliefs that markets cannot easily displace.
Chapters
Introduction
Markets are not neutral arenas that discover objective value — they aggregate beliefs. This chapter establishes the thesis that sentiment is the constitutive substrate of price formation and introduces the causal chain: sentiment initiates, price records, valuation rationalizes.
Understanding First Cause in Markets
Before any model is consulted or any trade executed, someone must decide to act. This chapter argues that the market lacks independent agency, positioning human volition as the first cause of all market activity.
The Role of Reflexivity in Markets
While first cause explains how markets begin, reflexivity explains how they gather momentum. This chapter distinguishes reflexivity as the propagation mechanism of sentiment, not its origin.
Sentiment, Price & Valuation
The central chapter introduces the Blind Ledger thought experiment and the Anchor of 1 framework, demonstrating that valuation multiples measure sentiment drift — the distance collective belief has drifted from parity benchmarks.
Intrinsic Value
Intrinsic value functions as a rhetorical device, not an objective anchor. This chapter deconstructs DCF analysis and uses the Disconnected Individual thought experiment to show that even objectively verifiable properties require an interpretive framework to acquire value.
A Discussion On Price & Narrative
Neither price leads narrative nor narrative leads price — both views assume a separation that does not exist. This chapter argues that price is a market fact while value is a market narrative.
Dismantling the Efficient Market Hypothesis
EMH conflates information availability with interpretive uniformity. This chapter systematically critiques all three forms of EMH and exposes the Joint Hypothesis Problem that renders it empirically untestable.
Understanding Volatility
Volatility is not an intrinsic property of assets but the amplitude of sentiment revisions. This chapter reframes the VIX as a Narrative Fragility Index and implied volatility as second-order sentiment.
Fundamental Objections
The strongest counterarguments — mechanical arbitrage, algorithmic trading, passive indexing, forced selling, and fixed-income instruments — each trace back to sentiment when examined carefully.
Informed Analysis Still Matters
Sentiment is universal but not uniform. Disciplined analysis produces valuations more informationally dense, more internally coherent, and more resilient to revision.
Empirical Implications & Future Research
How sentiment distributes itself across market channels. The Anchor of 1 operationalizes existing valuation data as sentiment data. Initial findings and testable predictions.
Methodological Consequences of Reclassification
Reclassifying valuation data as sentiment data changes the statistical assumptions driving analysis — from mean-reversion to persistence, regime shifts, and contagion.
The Causal Chain from Sentiment to Price to Valuation
The complete causal chain: sentiment initiates the conviction that commits capital, price records the settlement of competing convictions, valuation rationalizes the distance from the anchor.
Cite This Thesis
Morris, Adrian. "Sentiment as Substrate: An Expanded Theory for Markets & Valuation." True North Research Report No. TNR-2026-01. True North, 2026.
This publication is for informational and educational purposes only and does not constitute investment advice, a recommendation, or a solicitation to buy or sell any security. The views expressed are those of the author and do not necessarily reflect the views of True North. Past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.
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Investor and researcher with over 20 years of market experience spanning the Dot-com Bubble, the Great Financial Crisis, the rise of Bitcoin, and the emergence of AI. Published author at Cointelegraph and Swan Bitcoin, and a contributor to True North and Bitcoin For Corporations.
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