BlackRock's Robot Stock-Pickers Post Record Losses

Read an interesting article regarding BlackRock robot stock-pickers posting record losses. As we all know, more and more Asset Management companies are turning to artificial intelligence to help with stock picking. In the case with BlackRock, Laurence Fink invested $78 billion in a quant team to distinguish the company from its peers.

Unfortunately for him, the article points out:


At least three of the quant strategies used by BlackRock’s Global Hedge fund platform have suffered losses greater than 10 percent in the year through November, according to the client update, a copy of which was seen by Bloomberg. That compares with an average return of 3.6 percent for quant funds, Hedge Fund Research Inc.’s directional quant index shows.

Does this mean the whole AI taking over the hedge fund/asset management industry is blown out of proportion? What does this mean for BlackRock? Would love to hear your thoughts.

 
Best Response

Well, yes and no. The thing is, there are good AIs and there are terrible AIs. Why do people use Google over Bing/Yahoo/etc. Search, like quantitative investing, is a super complex problem and there are a lot of different ways of attacking it. Just because there are people putting money into shitty AIs doesn't mean that AI for investing doesn't have significant value. All it means is that BlackRock (among others) made a shitty AI. Of course, we need to look at returns year over year. Just because sometimes Bing will give you more relevant results than Google doesn't mean it does so consistently. The best quantitative funds do seem to beat the market more consistently than fundamental funds.

 
DeepLearning:

Well, yes and no. The thing is, there are good AIs and there are terrible AIs. Why do people use Google over Bing/Yahoo/etc. Search, like quantitative investing, is a super complex problem and there are a lot of different ways of attacking it. Just because there are people putting money into shitty AIs doesn't mean that AI for investing doesn't have significant value. All it means is that BlackRock (among others) made a shitty AI. Of course, we need to look at returns year over year. Just like sometimes Bing will give you more relevant results than Google sometimes doesn't mean it does so consistently. The best quantitative funds do seem to beat the market more consistently than fundamental funds.

Source on the best quant funds beating the market more consistently than fundamental funds?

 

rentech, two sigma, DE Shaw, Citadel, millenium, etc.

the problem is many "fundamental" strategies have lagged because correlations were at an all time high and bottoms up work became less effective. combine that with people essentially mirroring indices and you had a recipe for disaster.

fundamental managers aren't innovating, and quant guys are. this is not a free lunch however, as the quant shops are consistently looking for an unexploited strategy, rather than relying on what worked in the 90s. they rely on an information advantage, a speed advantage, and hope that other arbitrageurs don't get the advantage before they do. traditional stock pickers wait for a good value, buy the stock, and hope their thesis works out.

the trouble is it's incredibly difficult to get access to the best quant funds (because they realize they have capacity constraints), so it's really a moot point.

 

I think it depends on what the AI is assigned to do. Are they investing or are they trading? If they are investing, what are they looking for and how are they set up to buy/sell? What's timelines are they utilizing? If they are trading, what market trends do they look out for? Are they engaging in high risk or low risk activities? Are they engaging in HFT on behalf of the fund? Are they using the AI to manipulate stock prices with aggressive buying/selling to drive the market? Does the specific AI allow for alerts and human input to help manage the fund? Who knows.

Without publicly available information to look at for insight, it's hard to make any judgment on the programs themselves and how they operate. They might not end up any better than your average manager's picks, sometimes you're lucky, sometimes you're not. You should also remember that the future has not played out yet and patterns that were previously viable for the AI to base judgment off of may not be suitable. Couple that with the volatility of a holding due to general sentiment/supply & demand and random unexpected macroeconomic events, I wouldn't expect them to be extremely consistent or perfect until there were a lot more variables within their control.

If you find yourself feeling lost, go climb a mountain.
 

BlackRock's strategy is to spread a whole lot of bets then count on a few paying off. If they seeded 3 quant funds that failed, they probably have another 30 which "succeeded" or at least haven't failed yet. They do the same thing with fundamental active funds. BlackRock is the definition of closet indexer at least when it comes to their active equities business.

 

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