Known-unknowns are risks or uncertainties that a decision-maker is aware of but cannot accurately quantify or predict in advance. The phrase captures a specific category of risk: you know the risk exists \u2014 you simply do not know when, how, or to what degree it will materialise. The concept gained broad recognition after Donald Rumsfeld’s 2002 press briefing, but it has long been embedded in risk management frameworks across finance, military strategy, and policy.<\/p>\n
Category<\/strong><\/th>\n| Definition<\/strong><\/th>\n | Example in Markets<\/strong><\/th>\n<\/tr>\n<\/thead>\n\n | Known-knowns<\/td>\n | Risks you know about and can measure<\/td>\n | Interest rate schedules, earnings dates<\/td>\n<\/tr>\n | Known-unknowns<\/td>\n | Risks you know exist but cannot quantify<\/td>\n | Election outcome, court ruling<\/td>\n<\/tr>\n | Unknown-knowns<\/td>\n | Risks you have information on but ignore<\/td>\n | Overlooked macro data signal<\/td>\n<\/tr>\n | Unknown-unknowns<\/td>\n | Risks you are entirely unaware of<\/td>\n | A black swan event<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n | Known-Unknowns in Financial Market Context<\/h2>\nFinancial markets are populated with known-unknowns. A central bank meeting is a known event on the calendar \u2014 but the exact magnitude of any rate move, or whether the tone will be more hawkish or dovish than expected, is unknown until the decision is released. A geopolitical election is scheduled months in advance, but its market impact remains uncertain until the result is known. Traders who identify these known-unknowns in advance can plan their exposure management without necessarily predicting the outcome.<\/p>\n How Traders Work Around Known-Unknowns<\/h2>\nCommon approaches include:<\/p>\n
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