Masters in Business

How to Use Narrative Information

November 26, 2025

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  • A narrative is defined as any answer to the question "why?" regarding market movements, stock valuation, or behavior, meaning even attaching meaning to a P/E ratio is a narrative. 
  • Narrative analysis should focus on the presentation of information (word choice, frequency, density) rather than its objective truth or accuracy, as perceived belief drives behavior. 
  • The most profitable application of narrative investing involves identifying dormant narratives and tracking their initial discovery phase, similar to monitoring the spread of a virus using epidemiological math (like R naught). 

Segments

Narrative vs. Fundamentals Debate
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(00:01:49)
  • Key Takeaway: Market valuations may be driven by narratives rather than traditional fundamentals like revenue and growth.
  • Summary: Investors are traditionally taught that fundamentals drive stock prices over the long run, referencing Benjamin Graham’s ‘weighing machine’ analogy. The central question posed in this episode of Masters in Business is whether narratives are overriding these fundamentals in the current market. The discussion sets the stage for exploring how to identify when market narratives take precedence over underlying financial data.
Defining Market Narratives
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(00:02:40)
  • Key Takeaway: A narrative is fundamentally defined as the answer to any question beginning with ‘why’.
  • Summary: Ben Hunt defines a narrative simply as the answer to the question ‘why’ (e.g., why the market moved, why buy a stock). This definition encompasses interpretations attached to numbers, such as why a specific Price-to-Earnings multiple is considered ‘cheap.’ Any valuation or meaning assigned to data points constitutes a story or narrative.
Measuring Narrative Influence
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(00:04:18)
  • Key Takeaway: Narrative analysis prioritizes measuring presentation elements like word choice, volume, and network density over objective truth.
  • Summary: The focus for identifying narratives is not on truth or accuracy, but on how reality is being presented to the public. Measurements involve analyzing word choice, frequency, and loudness of presentation. Network math concepts like density, connectedness, and centrality are used to analyze how language connects to other words.
Narratives as Economic Disease
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(00:05:48)
  • Key Takeaway: Narratives spread through media in the same way diseases spread through populations, utilizing similar mathematical models.
  • Summary: The spread of narratives should be understood using the same measurements applied to epidemiology, such as R naught (rate of spread). The medium for narratives is unstructured data (written and spoken words), where clusters of words spread like a virus. People inherently seek compelling stories rather than unsatisfying answers like ‘it was just variance.’
Descriptive vs. Prescriptive Narratives
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(00:08:00)
  • Key Takeaway: Descriptive narratives explain past events and should generally be faded, while prescriptive narratives attempt to frame future action and should be pressed.
  • Summary: Descriptive narratives answer ‘why’ after an event has occurred, such as justifying an earnings report, and typically have a short half-life of one or two weeks. When these descriptive narratives gain loud traction, investors should consider fading them as they represent the ordinary business of Wall Street commentary. Prescriptive narratives, conversely, attempt to lay the framework for what should happen, such as a public figure advocating for a specific Fed policy.
Quantifying Narrative Discovery
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(00:10:40)
  • Key Takeaway: Technology allows for the quantification of narrative analysis, externalizing what skilled traders have always internalized.
  • Summary: The goal is to externalize the intuitive narrative assessment skills of good traders using big data and computation to read everything. For value investors, the key is not tracking loud current stories but identifying when a dormant narrative begins to be discovered by the market. Making money reliably comes from capitalizing on that discovery phase when the market ‘wakes up’ to a long-held view.