The Science of Conviction: How Emotion Shapes Financial Decision-Making

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Introduction: The Power of Conviction in Uncertainty

What drives a financial professional to make a risky trade or hold back in times of risk?

We often assume that risk management decisions are based purely on logic and data, yet research suggests that emotion plays a much larger role than we might expect.

Back in the October edition of Connect, we spoke to Brandon Davis, from the University of Buckingham, about a groundbreaking study to uncover how emotions influence financial choices—and how understanding this dynamic could reshape risk management.

In this edition of the magazine another member of that academic team, Professor David Tuckett, Director of the UCL Centre on Decision-Making Uncertainty, explains the extent to which emotion informs the way humans interpret external data in order to reach good decisions around risk appetite.

The study, being run in partnership with CeFPro, also includes experts from Princeton University.

Tuckett’s Conviction Narrative Theory suggests that financial professionals rely on conviction narratives – stories they tell themselves to make sense of complex, uncertain information – when making high-stakes decisions.

Decoding Conviction Narrative Theory

Conviction Narrative Theory (CNT) challenges the traditional notion that rationality alone drives financial decision-making. Instead, Tuckett explains that “under radical uncertainty – that is, contexts in which at the time you make the decision you can't know the outcome – people draw on conviction narratives to support their actions.”

These narratives act as mental shortcuts, helping us to navigate an overwhelming amount of data, filtering information, highlighting perceived risks and opportunities, and creating an emotional response that guides action.

As Tuckett puts it, “the brain is a constant interaction between thinking and feeling.”

Put another way, CRO reading a data report isn’t just processing statistics; they’re also experiencing gut reactions that influence the way they interpret that data.

To test this theory, Tuckett and his team are conducting an online experiment – open to Connect readers – in which participants read different financial texts and then indicate whether they would buy or sell a particular asset, or accept or decline a particular risk.

By analyzing how specific words and emotional cues influence decisions, the study aims to determine whether financial professionals are subconsciously guided by emotion-laden narratives.

How Words Shape Financial Risk Perception

The research builds on previous studies showing that language can signal shifts in market sentiment. By applying CNT to large text databases – such as Reuters News or the Bank of England – the team has already demonstrated that emotional language in financial reports can anticipate market trends.

One striking example, Tuckett says, comes from their analysis of news coverage in the years leading up to the 2008 financial crisis.

“In one result we found was that if you plot a graph showing the relative amount of excitement minus doubt or anxiety in articles about Fanny Mae, you could see an upward trend right up until the crash happened,” he says.

“But very interestingly, if you plot that graph against that the Case-Shiller housing price index, you see that in 2006, that began to turn down. Yet it had no impact on sentiment or the share price.”

This suggests that financial markets may be slow to react to fundamental changes because prevailing some and exciting “phantastic object” narratives override emerging warning signs.