Uncertainty, risk and misplaced assumptions on data and rationality

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There has been discussion on pension fund management here over the last day or two.

My suggestions when making my comments were threefold:

  1. Risk is not the same as uncertainty.
  2. Uncertainty describes situations where outcomes are inherently unknowable, and these exist in defined benefit pension schemes, even in run-off.
  3. The realities of law, trust relationships and fiduciary duty have to be taken into account.

To put it another way:

  • Risk refers to situations where outcomes can be assigned probabilities based on known distributions.
  • Uncertainty exists in scenarios where outcomes are not quantifiable due to a lack of reliable data or unprecedented events.

I really do not think this should be so hard to understand, but it appears that it is, even though this is very basic stuff, and the intellectual foundation of a lot of what Keynes did to upset neoclassical economics.

My contention is that there is uncertainty in the management of even closed, defined benefit pension funds. Again, why this is so hard to comprehend is very hard to work out.

What really scares me is how many of the claims being made by those seeking to criticise me are so profoundly reminiscent of the misplaced beliefs commonplace in the City of London before the global financial crisis of 2008 erupted.

As was clear after the event, almost all the assumptions that markets made before that crash were inappropriate. The errors made were summarised in March 2009 in a report prepared by Adair Turner (Lord Turner), who was then working with the Financial Services Authority.

I have cited section 1.4 of his report to highlight this issue when teaching in the past, because I think it is such a good summary of what went wrong.

On Saturday night, when writing this, I used Chat GPT to summarise the key points, as follows:

A summary of Adair Turner's key discussion on the difference between risk and uncertainty in The Turner Review, particularly from section 1.4(iii): Misplaced reliance on sophisticated maths:


Turner's Key Points on Risk vs. Uncertainty

Distinction Between Risk and Uncertainty

  • Turner highlights a foundational critique of financial risk modelling: it treats the future as though it were governed by probabilistically predictable patterns derived from the past.

  • He argues that this approach is methodologically flawed when applied to financial markets, which are influenced by social and economic behaviour, not physical laws.

Risk refers to situations where the probability distribution of outcomes is known and can be mathematically modeled (e.g. dice rolls, insurance tables).

Uncertainty (or “Knightian uncertainty”) refers to situations where the distribution of possible outcomes is inherently unknowable or non-repeatable — especially relevant in finance where market behaviors are influenced by human psychology, feedback loops, and system-wide interactions.


Flaws in Financial Models

Turner critiques models such as Value at Risk (VaR) for assuming:

  • Past patterns can reliably forecast future events.

  • Events are independent and normally distributed.

  • Risks are largely idiosyncratic (firm-specific) rather than systemic.

In reality:

  • Distributions in markets may have fat tails — i.e. extreme events are more likely than predicted.

  • Risks are often systemic, with one institution's behaviour affecting others.

  • This mischaracterisation meant that models underestimated real-world risks just before the crisis struck.


Knightian Uncertainty and Policy Implications

  • Turner refers to Frank Knight's 1921 distinction between risk and uncertainty to suggest that not all financial risk can be reduced to numbers.

  • He asserts that the 2007–08 financial crisis exposed this fallacy: regulators and institutions faced not risk, but uncertainty.

  • Because of this, no model or regulation can fully eliminate financial crises.

  • There is a need for:

    • A macro-prudential regulatory approach (not just firm-level risk models).

    • A backstop mechanism (e.g., government intervention or “risk socialisation”) for times when uncertainty overwhelms the system.


Supporting Sources Turner Mentions:

  • Frank Knight – Risk, Uncertainty, and Profit (1921)

  • Adair Turner's own speech – Uncertainty and Risk: Reflections on a Turbulent Year (Cass Business School, 2008)

  • Benoit Mandelbrot – The Misbehaviour of Markets

  • Nassim Taleb – The Black Swan


✅ Conclusion:

Turner's core argument is that the financial crisis revealed the limits of treating uncertainty as risk. Future financial oversight must recognise this and rely less on mathematical models and more on judgment, resilience planning, and systemic safeguards.


In summary, it was the lack of understanding between risk and uncertainty that helped create the 2008 financial crisis, and the same issue is being seen now.

This is so important, I also offer the original section here (and you have to work hard now to find this report on the web). You only need to read this if you are going for a first:

 


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