For example, people like Elon Musk and Steve Jobs could pick up the phone and convince some very wealthy people to part with their cash on some investments that ML algos would consider stupidly risky.
For example, people like Elon Musk and Steve Jobs could pick up the phone and convince some very wealthy people to part with their cash on some investments that ML algos would consider stupidly risky.
Maybe the machines won’t come for venture/angels but I certainly won’t bet on it.
It didn’t save them when the bots came.
That's an odd thing to say. If machines and programs are capital, which seems reasonable, the more automation there is, the more capital, which drives down the returns and makes labor relatively more expensive. Isn't this obviously happening in a world where savings accounts pay 0.01% but it costs $120/hr to hire a plumber?
Maybe it would be better to say that the extremely low returns on capital favor automation, which favors the people who make the highest wages. That's obviously? not the same as capital vs. labor.
This continues as technology gets more sophisticated until the only people left producing things and making money are those that own the tools that do the job.
It only costs $120/hr to hire a plumber because of artificial barriers to entry and a guaranteed market. A better example might be a typist who previously had a solid middle class job taking notes and dealing with faxes because their boss didn't have a cheaper way to do it.
That is what I mean by favoring. Eventually Bezos just owns a machine that runs everything he controls and needs no employees. Eventually. Don't doubt he would if he could.
Your statement contains the core of it though -- systems that favor the people who make the highest wages are in an unstable equilibrium where eventually very very few people make all the wages.
relationships were expensive (and thus valuable) when people had to cultivate them through temporal and spatial investment. relationships between computer systems are not bound by those constraints and are thus fast and cheap (via markets and networks).
but more to the point, the value of a relationship in finance is really the highly valuable non-public information you can glean from them.
knowing who has (or will have) the resources you want at or below the price you want to pay for them (or vice versa) is the hard part. people (and the algorithms they create) will actively try to hide that information because it maximizes revenue.
Because everyone is doubling down on investing on the status quo, don’t be surprised if a disruption to the status quo has far more dramatic impact than it would have 20 years ago.
If the ETFs are incorrectly pricing assets because of blind buying, then an enterprising managed index fund could bet against it. Or, find some other arbitration mechanism. But of course, this doesn't actually happen, because price discovery _still happens_ even if ETFs account for a large percentage of trades (since price discovery can happen even with small number of trades).
And if ETFs is just betting on the market average, then the worst that can happen is they get average results. ETFs don't use leverage or debt.
But that's not the point here. The big money in investing isn't in beating the market, but charging fees, so fund managers only need to convince people to give them their money, they don't actually have to deliver results, provided they're working within the fund's stated goals.
If (when!) there is a correction, there will be analysis done on the cause (pick one or more of: student loan debt, sub-prime auto loans, trade war, something else) and then new investment strategies will be devised. And maybe passive investing will be shown to leave you vulnerable to a sea-change.
7.7% real return with 17.7% vol vs 7.1% real return with 17.1% vol.
Sharpe for equal weight: 0.435; Sharpe for SPY: 0.415