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by gd1
4396 days ago
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So you've accepted that greater speeds allow market makers to quote tighter, so the answer is pretty simple. The tighter a market maker is quoting the less money he is making per transaction (smaller spread), so less money is leaving the system and going to middlemen. The speed allows them to undercut other market-makers and steal their 'flow' (customers) while still being able to avoid predators, and so they offer the service cheaper. The service being the provision of liquidity to bridge time gaps in a continuous time market. If you assume that the number of 'real' trader (not middlemen) who want to buy or sell is constant (not necessarily true, but assume it for a moment), then it stands to reason that the tighter the spread, the less the market makers are profiting. At a small enough spread, they make no profit, since the profit from the flow on both sides is cancelled out by the losses from adverse selection (trading when they couldn't cancel in time - being victim to a predator). But if they can increase their speed, and minimize their adverse selection losses, then they can quote tighter and still make a profit. And do it with machines, and cut overheads of hiring humans, and you can quote even tighter since you need less trading profit to make a net profit. So this is the value generated, automation + speed = the smallest amount of frictional costs being extracted from the market. |
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Ok, this makes sense. But it still leaves the question, how much are the frictional costs decreased by HFT, and is that benefit enough to offset the social costs?