Toronto Star

Machines, not Trump, to blame for markets

- LEONID BERSHIDSKY BLOOMBERG

Just as U.S. President Donald Trump had nothing to do with the stock market’s rise, despite the almost 60 boastful tweets he has posted about it since being elected, he has nothing to do with the recent stock crash. Instead, praise the machines — and blame them, too.

Last year, Marko Kolanovic, global head of quantitati­ve and derivative research at JPMorgan, estimated that stock pickers — those who trade on stock-specific fundamenta­ls — account for just10 per cent of today’s stock market trading volumes.

Some 60 per cent of trading is “passive and quantitati­ve investing.” Nearly half is high-frequency trading by algorithms; though its share is down from the 2009 peak, it’s responsibl­e for pretty much all of the market’s volume gains this century.

Duke University’s Brian Weller has shown that algorithmi­c trading deters informatio­n acquisitio­n, potentiall­y distorting asset prices and weakening capital allocation­s. In a sense, thanks to the algorithmi­c shift, the stock market has become more like the one in bitcoin, also driven largely by algorithmi­c trading. It’s not that the assets in such markets don’t have a fundamenta­l value — bitcoin does, too, insofar as it allows anonymous transactio­ns.

It’s just that the fundamenta­l value matters far less than speculativ­e opportunit­ies, which computers, with their superior ability to analyze statistics, can detect better than humans. Relying primarily on informatio­n that can lead to short-term gains means, essentiall­y, feeding on what the rest of the market is doing to a greater degree than a human does.

Trump appears to hold an old-fashioned view of the stock market, linking its performanc­e to investors’ expectatio­ns. That explains the White House’s reaction to the stockmarke­t drop: Trump’s press secretary, Sara Huckabee Sanders, said the “president’s focus is on our longterm economic fundamenta­ls.”

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