In Financial Markets, why is complex systems thinking often preferred over traditional statistical methods for risk management?
Answer
To anticipate 'black swan' events that small, unpredictable shifts can cause in non-equilibrium systems.
Financial markets are seen as non-equilibrium and adaptive; complex systems thinking helps analysts anticipate high-impact, low-probability events, sometimes called 'black swan' events, that traditional statistics might overlook.
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