Thinking of entering the world of high-speed computer trading, but don’t know whether you’re best situated in New York, London, or Hong Kong? Your best bet may be Siberia instead, according to a new study from two MIT researchers.
The insight of the MIT researchers, Alexander Wissner-Gross and Cameron Freer, is that some automated traders–or at the very least, their server farms–will be best positioned in-between certain exchanges. Since some trading strategies capitalise on price fluctuations between separate exchanges in different parts of the world, the optimally located server will receive information from those exchanges at precisely the same moment, gaining that millisecond advantage over the competitor. In some cases that pefect location is the midpoint between the two exchanges, but not always–it depends on whether the exchanges’ prices move at the same speed or not [Source].
Relativistic statistical arbitrage: Recent advances in high-frequency financial trading have made light propagation delays between geographically separated exchanges relevant. Here we show that there exist optimal locations from which to coordinate the statistical arbitrage of pairs of spacelike separated securities, and calculate a representative map of such locations on Earth. Furthermore, trading local securities along chains of such intermediate locations results in a novel econophysical effect, in which the relativistic propagation of tradable information is effectively slowed or stopped by arbitrage [Source].
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