"One important measurement issue concerns the fat tails problem that I mentioned earlier. VAR is concerned with extreme outcomes. If the tails of the probability distributions we are using are too thin, our VAR measures are likely to be too low"
About this Quote
Hull’s intent is pedagogical but also corrective. VaR is “concerned with extreme outcomes,” yet its most common implementations are built on assumptions (often normality, often recent historical windows) that systematically downplay extremes. That mismatch is the entire problem: a tool designed for crises is routinely fed crisis-denying inputs. His phrasing “likely to be too low” is almost understated, a professor’s calm way of pointing to a recurring pattern in finance: models that behave beautifully until they matter.
Context matters here. Hull writes in the long shadow of blowups where VaR looked fine right up to the moment it didn’t: 1987, LTCM, 2008, the periodic “once-in-a-century” events that show up every decade. The line is a reminder that sophistication in risk isn’t adding decimals; it’s refusing comforting assumptions about how bad things can get.
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| Topic | Investment |
|---|---|
| Source | Help us find the source |
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APA Style (7th ed.)
Hull, John C. (2026, January 16). One important measurement issue concerns the fat tails problem that I mentioned earlier. VAR is concerned with extreme outcomes. If the tails of the probability distributions we are using are too thin, our VAR measures are likely to be too low. FixQuotes. https://fixquotes.com/quotes/one-important-measurement-issue-concerns-the-fat-100760/
Chicago Style
Hull, John C. "One important measurement issue concerns the fat tails problem that I mentioned earlier. VAR is concerned with extreme outcomes. If the tails of the probability distributions we are using are too thin, our VAR measures are likely to be too low." FixQuotes. January 16, 2026. https://fixquotes.com/quotes/one-important-measurement-issue-concerns-the-fat-100760/.
MLA Style (9th ed.)
"One important measurement issue concerns the fat tails problem that I mentioned earlier. VAR is concerned with extreme outcomes. If the tails of the probability distributions we are using are too thin, our VAR measures are likely to be too low." FixQuotes, 16 Jan. 2026, https://fixquotes.com/quotes/one-important-measurement-issue-concerns-the-fat-100760/. Accessed 4 Mar. 2026.










