This translation has been automatically generated and has not been verified for accuracy.Widely blamed for volatile “flash crashes” in currencies and equities, high-frequency algorithms may also be why shock global events, including the current coronavirus, seem to have lost their power to spook markets for any length of time.
Certainly, many factors are shaping the resilience, not least central bank money printing and rising global savings which boosted the value of world stocks by $25 trillion in the past decade. But they also offer the advantage of being able to transact at lightening speed at any hour of the day or night, with razor-sharp accuracy and lower overall costs. Being machines, they are also alien to the common human impulses of fear and greed that tend to take over.
One currency trader familiar with algo use said a machine reading coronavirus cases would typically buy stocks if informed of “500 new cases, 10 deaths.” “If it’s ‘3000 new cases, 200 deaths’ they might sell. The impact in fast-moving markets can be outsized if the models rapidly push prices towards existing buy/sell order levels, trip them and trigger other orders.
Stephane Malrait, ING Bank’s head of market structure and innovation, says in such instances algos are programmed to check if moves are in line with price trends.
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