Asset Managers: The tide turns
economist.com
economist.com
Indexers herd, they reduce liquidity, they push up prices of stocks in the index, they increase volatility, initially smaller/less liquid stocks have prices pushed around irrationally, then bigger stocks. It starts to pay to do private equity, buy out cheap stocks, IPO them, get them back into the index universe, and sell them back to the indexers.
Indexing is not a silver bullet, it's one strategy in a Nash-like equilibrium. Too much active investing, passive can match them at a lower cost and win...too much passive investing, mispricing arises and active investors can exploit passive investors.
https://blogs.cfainstitute.org/investor/2016/02/02/active-in...
Second, I don't think anyone is arguing that active investing can beat potentially beat passive investing.
The problems with active management vs. passive are: - Most active manager will continue to underperform (this year I believe it was north of 90%) - That it is just about impossible to predict which funds will be leaders - That the fees active managers require are too high relative to the lack of any real value
The point of the article isn't that active management can't ever beat passive - it's that the fees on investing are coming down because most active management provides little value.
So if active management is going to win, the fees may be compressed and that may change the industry.
There's an implicit assumption that return profile is what matters to the investor. It very often isn't. Quite often it's a simple cover-your-ass requirement. Gotta put my money somewhere, so anyone who isn't going to embarrass me is fine. Thus status quo.
Second, strategies do exist that barely lose money ever. I've a friend who runs a strategy that has had 4 losing months out of 100. Certified by a fund administrator. Sounds too good to be true, so the fund stays small. Everyone's heard of negative skew so they stay away.
There's also strategies that print money so regularly they don't need outside investment. You would be amazed at how simple it is. But I've actually reproduced this myself. You need some good execution to do it, but once it's up you don't need or want investors. If you get a bond like income stream, you might as well finance it like a bond. It's only stuff with low Sharpe where you need to share the risk.
So what do you see then? A bunch of traditional managers doing their stock picking where the result doesn't matter too much, and some funds with some alpha that isn't stable.
a) Not scalable (e.g. most intraday market-making or scalping strategies)
b) Only available at a very high fee (think north of 3/30)
c) Not available at any price (e.g. Renaissance Medallion, which has been closed to outside investors for 20+ years)
So I'm not sure that it's particularly relevant to this discussion, which is about fee pressure on traditional, long-only asset managers.
If your investment has a high Sharpe ratio (especially in respect to other investments), by definition you have the highest returns at the lowest risk (variance) possible, so you can't have a "infinitely high" Sharpe ratio with "crap" returns.
Investments with low returns and low risks are penalized by Sharpe just as much as investments with high returns and high risks for the same reason: the expected value is simply less in both cases than for the ones with highest returns at lowest risk.
If you're a hedge/venture fund you will want to optimize for a high Sharpe portfolio eventually, you simply can't survive if you keep losing money for investors in the long run (low expected value).
also, you can mitigate black swan events by not being too leveraged up, and going further out on expirations. and finally, just keep rolling.
And you can't just going further out on expirations without posting proper margins. That is, you can, but not legally.
Sharpe = E[Return - Financing] / StDev[Return - Financing]
You could only have infinitely high Sharpe if the standard deviation of your returns, minus your financing cost, is zero. That means that Return = Financing + Constant. Now, some people are able to achieve that because they have abnormally low financing (e.g. they are an insurance firm with a large float, or a bank which is able to loan money at a higher rate than it borrows) but for most investors, the only way to make that equation hold is if the constant is zero or negative.Going long 3 month T-bills does not give an infinitely high Sharpe Ratio (if it did, everyone who could would lever it up and do it in large size).
As an experiment, I simulated holding a long position in the nearest to expire Eurodollar futures contract (which give a return similar to the 3 month T-bill return) and rolling every 3 months, which gives a Sharpe of 0.92, an annualized return of 0.65% and annualized standard deviation of 0.7%.
Similarly, a long position in nearest-month two year treasury futures contracts gives a Sharpe of 0.94 with 1.59% annual return and 1.67% volatility.
These are attractive Sharpes (better than equities!) but they are certainly not infinite, and to juice up the returns to anything approaching an equity investment you need to be looking at 5-10x leverage.
Your point about selling puts, with skewness/kurtosis risk which is not priced by Sharpe, is a fair one, and probably the most common method of gaming returns, but it is a side-issue.
https://en.wikipedia.org/wiki/Renaissance_Technologies#Medal...
> "From 2001 through 2013, the fund’s worst year was a 21 percent gain, after subtracting fees. Medallion reaped a 98.2 percent gain in 2008, the year the Standard & Poor’s 500 Index lost 38.5 percent."
Holy cow, that thing is kinda crazy. There has to be a catch, right? (Or everybody would be doing it.) Or is their algorithm genuinely so clever that nobody else has ever figured it out?
If you take some of the smartest people in the world and have them intensely focus on making money via trading you get Renaissance. Everyone can't do it because there are only so many some of the smartest people in the world intensely interested in making money via trading to go around.
http://www.thetalkingmachines.com/blog/2016/2/26/ai-safety-a...
No, everyone can't do it because they are in an 0-sum game. If everyone was as good as Renaissance, then Renaissance wouldn't make money. But if all the smart people are in Renaissance, then Renaissance makes money.
Like with a lot of math, you learn more about the basics once you are on to the advanced stuff.
And the more advanced stuff you learn, the more you see limitations. Very advanced can very well mean brittle.
I reckon what they have is a well distilled common sense setup where they are able to reject models that appear to be profitable but aren't. I'm guessing they are also able to procedurally generate models that capture the same few common sense notions in new ways as the market evolves. In contrast I reckon most quant shops are still at a stage where the models are hand coded, causing some severe issues that I'll touch upon.
There's also an organisational aspect about them. They're all very very good at math. Any BS is likely to get rumbled. Intellectual carelessness will probably be detected and the boss is a proper math guy too. Here's a subtle thing that many people I've worked with would not detect: to calculate my fund's information ratio, I take the monthly returns, average them, and divide by the standard deviation. I have to multiply by root 12 because there's 12 months in a year. Standard procedure.
Having worked with some mere mortals I can tell you a lot of time is spent convincing oneself of the intellectual merits of something one's found despite evidence to the contrary. I think the fact that quants tend to be low quality coders with high internal prestige causes a lot of funds to do less well than they should. A lot of effort goes into hand tuning models rather than trying a bunch of different ones. You get things like unconscious "optimizations" that are very hard to spot, and hard to argue against because the person doing the talking is of high rank.
When I worked in a long-only equities asset manager, there even were frank discussions with the client services team about how to organize materials for when a client was preparing to fire us. We actually assisted them with the process of firing us, told them what to say, etc., so they would save face with the rest of the board or whomever they answered to.
Basically, it's a lot like hiring a manager in international soccer. Very few of them actually bring results, but big, wealthy clubs will still go through a huge media circus, pay a huge wage, and do all sorts of things, to hire status-signalling managers. Then, later, when it's not working out, it is that manager's job to be sacked gracefully, once again creating media buzz that makes the club look good in front of the fan base for "doing the right thing" and firing the manager.
In asset management it's the same. "Hire-us-now-to-look-fancy" and "Fire-us-later-to-look-like-you're-dedicated-to-ideals-and-righting-the-wrongs" are both very much the major parts of the services they provide, and both are things that these companies go on at length about when courting a new prospective client.
Heck, some client service employees even get part of their bonuses based on how happy the clients are with the assistance they receive in drafting press releases, putting together slide decks, or writing white papers about firing that manager.
Take the S&P 500, rank them by beta.
Lop off the highest x%. Say a quarter.
Rebuild the index scaled up to match.
You can see on a graph that the difference between them grows.
[1] https://faculty.chicagobooth.edu/john.cochrane/teaching/3515...
The paper you linked by Fama and French doesn't support this assertion. In fact, it's incorrect, and the paper admits that there are outliers (however few) with consistent superior performance.
From 1994 to 2014, Renaissance Technologies averaged a 71% return. From 1982 to 2012, Baupost averaged a 19% return. In the same time period the S&P 500 returned 7-8%. Even after fees, these managers easily beat the average for their clients.
It's tempting to claim that there is no such thing as beating the market, especially if that belief aligns well with a corresponding set of political beliefs about Wall St. But it is inarguable that funds and managers like these exist, it's just a matter of admitting that it's extraordinarily difficult instead of impossible.
The bare fact that certain funds or managers have averaged 20%+ over whatever time period is irrelevant, as that is absolutely expected due to randomness alone. It has no predictive power over the ability of those funds to generate future alpha, regardless of what intuition suggests. Again, in other words, investing in a fund that has consistently outperformed in the past does not increase your expectation of outperforming in the future. In fact, it is more likely than not that you will still underperform a low-cost passive fund with the same factor exposure.
So…you're saying that Bayesian updating in this case does not apply? No amount of positive results should alter the probabilities…ever?
(I'm not challenging your assertion by the way, just trying to confirm for myself.)
The paper demonstrates this by comparing the actual distribution of returns to many sets of simulated returns over the same period. When the simulations are built assuming that fund managers have just enough skill to generate zero net alpha, the actual distribution has consistently lower returns across the board than the majority of the simulated distributions. It gets closer in the very extreme right tail (the 98th to 100th percentiles), but still not enough to generate positive four-factor alpha net of fees.
Also keep in mind that David Booth is chairman and co-CEO of Dimensional Fund Advisors (DFA), where Fama has worked for quite a long time and where French also works, both as consultants and French also as Director of Investment Policy.
DFA is truly just another one of these shit-show asset managers that out of one side of their mouth talks about how all other active managers are ripping you off, but out of the other side of their mouth says that, of course, they know what kind of piddly freshman linear regression model really will consistently generate superior returns.
Fama's Nobel Prize in economics was the same kind of political farce as Obama's Peace Prize.
[1] http://www.amazon.com/Battle-Soul-Capitalism-John-Bogle/dp/0...
It's becoming pretty clear that Buffett will win his 10-year bet that the Vanguard would beat what Protege Partners thought were the five best hedge funds.
http://www.cnbc.com/2016/02/16/warren-buffett-slips-but-stil...
How many hundreds of millions will those five funds have earned for themselves while not beating the market?
If you think you are able to pick out better fund managers, then you should be picking stocks instead. If you're unable to pick stocks, what makes you think you're able to pick managers when you are working off opaque trades and even less information?
I can't fix my car but I can pick a garage based on reviews, etc.
And you have a lot more information available about stocks than you do about fund managers.
If you have this, you can get by with a very small portfolio, often just a handful of stocks. And the only ongoing effort is to periodically re-evaluate whether the market has caught on to the information advantage that you're trading on. You do need to continue to keep informed, but daily trading is ridiculous.
If you do not have this, you will lose your shirt regardless of how much you diversify.
Yeah, exactly my point. You need to spend >20 hours to research a single company and will chose to invest in 1 out of 10. Those are the optimistic numbers.
So 5 stocks is 1000 hours. How many hours to learn how to do your due diligence? How many hours per month, every month to keep an eye on what is going on and optimize if necessary?
- Smartphones > dumb phones (invest in AAPL)
- more dollars spent with online ads than TV and Print (invest in GOOG)
- cloud computing is better than managing your own servers (invest in AMZN)
- eating Chipotle is a better option than McDonalds (invest in CMG)
These information advantages are not necessarily gained by spending many hours of research, but a side effect from every day living and working. Will a research analyst realize the impact of a scalable computing API more than engineers that relies on it for their careers?
A future example: If you're a programmer using Github for every job in the past 10 years, maybe buying Github stock if it IPO's wouldn't be so bad.
Only in Silicon Valley would people give Peter Thiel credit for an concept that's been around for 150 years of investing.
>maybe buying Github stock if it IPO's wouldn't be so bad.
Maybe? That doesn't sound very certain, and demonstrates how difficult it is to pick these things in advance. Do you know, or not?
I mean, it's all well and good to look back at some ideas that were good investments, in hindsight. Do you not think armies of people are trying to find "good" ideas that no one knows about? How many good ideas went nowhere?
Without a hypothetical IPO price, that question is unanswerable.
I honestly still agree with your general point, but that's not specifically a valid argument.
As a retail investor, you have no visibility into any of this. Most asset management companies will not let you interview their fund managers, and most fund managers won't divulge their research strategies if asked. You basically just get their pedigree and resume, which is useless.
With individual stocks, you can at least choose to put in the legwork to do your research. Or as sibling commenters have suggested, you may get it tacitly by being embedded in the same industry as the company you're thinking of investing in. Someone who works in tech and is a user of AWS is in a much better position to judge the importance of a new AWS product announcement than someone who covers Amazon as an outside analyst.
If you have 100k to invest, better put them in the bank and don't bother with "investing".
I've seen this happen many times.
The usual advice for beginners is to revise ones portofolio between long intervals, say, once per year, record the specific reasons a purchase or sale was done, and progress with patience and not running after the market.
Stocks with dividens provide an interest to ones investment regardless how their price evolves in day trading.
If you're not able to take advantage of such things, I really don't understand the appeal.
(but then - having such large sums of money that I need help investing them would be quite a nice problem to have!)
I'm not sure this is right. You wouldn't say that you should be designing if you think you can hire a designer. There's no reason that hiring a good fund manager is different.
For what it's worth, I'm not good at picking managers or picking stocks with my own money so I choose a parsimonious approach.
If I've consistently picked terrible stocks for years, performing at 20% less than the market, and then I meet a fund manager who has has consistently performed at 20% above the market, are you suggesting I can't know whether or not he's better than me?
Surely you have an idea why you picked stocks that seemed good ideas but were not. What was the missing piece of information you did not have or the missing model you were not using?
Whether stock picking is luck based or not, there are (almost) no fund managers currently working who performed 20% under the market over the last 5 years.
This was after adjusting for survivorship bias.
So, you cannot look at performance as an indicator.
Active management, despite their access to expensive Bloomberg terminals and other financial resources, by in large, are just as clueless as retail investors, but they have more money and make up the difference in fees.
What does this prove? The fact that billionaires and hedge fund mangers – who have access unlimited data, who can buyout seats on the board of directors, and can even influence the news – are unable to beat the market but instead underperform it substantially, douses cold water on the popular belief that the markets are rigged, inefficient, or a scam. The biggest scam are these firms charging high fees for poor performance, but the market itself is not broken.
Instead, the market has become more efficient than ever, benefiting index buyers and hurting those who think the are the next Warren Buffet.
The whole idea that markets are "efficient" is specious nonsense anyway. If they were, they'd simply be a perfect random number generator.
In fact billionaires do regularly outperform the market. Bill Gates has made far more money from investing than he did from Microsoft.
I said more efficient than ever. That doesn't mean 100% efficiency.
There is absolutely no doubt that an algorithm can outperform most asset managers using traditional strategies quite well, but their implied thesis is wrong. It is extremely unlikely that any system short of an AGI, no matter how sophisticated, will be able to displace all active managers.
The reason behind that is that the best active managers try to build up positions by creating an informational edge. The very best ones are willing to do whatever it takes. Some have specialists analysing satellite imagery. Others are willing to snap up equity in private competitors of a company to check out their orderbook to predict the reality of the market before it can be reflected by the market. Or fund studies and do their own work. Whatever it takes.
A really great example of this trend is the rise of activist hedge funds which work by shorting the market and exposing malfeasance at companies. Last year an activist hedge fund manager, Whitney Tilson, found out that the products of Lumber Liquidators was laced with a carcinogen. He had lab tests conducted, shorted the stock, announced his results publicly, and created a media campaign around it resulting in a tumble. http://seekingalpha.com/article/3019166-lumber-liquidators-i...
It is extremely unlikely that any system could have replicated Tilson's work, because none of this data was online or existed somewhere that could be easily queried. At best these systems can trade far more effectively humans can with existing strategies, but that does not mean they can produce great returns, as they're operating upon the information the market already knows, as opposed to seeking out what isn't known.
There are similar examples within commodities - there are firms that specialise in using satellite imagery to predict if OPEC has increased production or what the global yield of rice / wheat is going to be. (case in point http://www.bloomberg.com/news/features/2015-07-08/satellite-... ) There is an arms race going on right now to know what the state of any economy will be before anyone else knows it. They will continue to specialise along this route by funding remote sensing companies, putting money into internet analytics to predict future usage patterns, and everything else they can think of before anyone else.
Machines just can't compete - at least, for now.
I'd argue that the investment strategies you're describing are actually creating value. Getting information about carcinogens out into the world is a plus for sure. Another instance of this is Herbalife which is looking more and more like a Ponzi scheme thanks to an activist investor.
Welcome to the era of regulation through speculation.
Imo I believe John Hempton's take on Herbalife, which is that what they sell is not the supplement but a "sense of community" that the participants strongly desire.
He says he was never good in the lab but was always proficient and prolific at reading papers, and finds it to be a bit of a calling for him.
How is that not considered insider trading, in the light of what happened to the Capital One fraud researchers? Both are using information that's not available to the whole market.
The rules around this stuff just seem very arbitrary.
Technicaly it isn't insider trading as they aren't getting data from the company. They are guessing it from a private company that is exempt from such guidance.
Unless you can explain otherwise, it's exactly analogous to the situation described above.
http://www.bloombergview.com/articles/2015-01-23/capital-one...
The problems seem similar in spirit: extracting a signal through side-channels. It's obvious that there's a ton of runway left to do this stuff in the investment space, and with the amount of money to be made, plenty of cash to pay for it.
But the point here is Paulson has been unable to replicate his success. He extracted huge money in his commodity funds while losing a lot of investor money.
So while you're right that these opportunities will exist, and that people will be required to extract them, I'd say there is no proof that these folks are more or less likely to generate returns into the future. It would be interesting to see if, like active mutual funds, there is no correlation between past returns and future returns for activist funds.
SPY lost 15% or more in Feb, and then recovered to only be down 5.5%. Before that a similar thing happened around new year. The trend appears to be down (in the sense that the second massive drop fell to a lower level than the first, and doesn't appear to be recovering the level the first recovered to), and a lot of banks are saying that people should sell the recovery. And if you prefer non-technical arguments : stocks in the S&P 500 are trading at a GAAP EPS multiple of ~21. Whilst that is actually a bit of a drop from before, that's still a >98% percentile for the multiple. "Normal" multiple is 16, which would have the S&P 500 trading at ~1550, and generally if you believe in mean reversal you'd expect it to drop below that before improving. Additionally the fed is raising rates, and that has always resulted in stock market drops. And all of this is assuming there isn't something more serious happening (global shipping has dropped double digit percentages since last year, which would seem to indicate a very serious issue, especially in Asia).
I'm thinking there is a general outflow out of the stock market entirely. Index funds and everything. I would even bet that private investments are dropping, partly because quite a bit of investment advisors are telling people to get out of the market.
Asset managers can just get added to a list that already includes positions like real estate agents, insurance agents, car salespersons, etc.
The problem is the inability for these people to continue to provide value against alternatives that justifies taking a commission.
I don't think there's a line in the sand for when these jobs become obsolete but the slow crawl towards it has been happening for a while.
(1) Does the intermediary add value? Sometimes they do, by facilitating better market functioning. If I sell a house and a real estate agent has access to a better buyer pool than I do -- likely, as they've been doing it for a while -- then I benefit with a higher selling price and the agent gets a commission. The loser is the "deal hunter" buyer who sits at the low end of the market, looking for a "deal" due to something being mispriced.
In some markets, e.g. public market trading and low-end insurance, it's easy to get the same benefits with a computer. On the higher end, however, like with complex business insurance, I'd gladly pay a middleman a few % to help me get through the complexity of picking out the right package, coverage, helping me think through the risks, etc.
(2) Are people afraid of doing it themselves? When dealing with a large enough proportion of wealth, some people will demand assistance, even if very expensive. I see this dynamic all the time in real estate. Most people don't want the hassle of selling a house themselves and would rather, somewhat lazily, just have someone else deal with it.
Most folks here are clever enough to work these out on their own, but the question is whether or not it's worth it for them to do so if a small portion of that money can pay someone to do it for them.
http://www.npr.org/sections/money/2016/03/04/469247400/episo...
Algorithm A : put $AGE % of funds into treasury bonds, put 85-$AGE % into index firm / ETF
Algorithm B: err?
Anyone can sit at a screen and pick stocks all day, and I'd guess most of people of average intelligence would do better than the markets given a few simple strategies - because most brokers seem happy to make more money from fees than from investment gains.
But not many people want to do this. If you start selling a maintenance-free money machine, it's not going to be hard to get sales.
Of course if enough people start using it, it stops working. But that's a different problem.
Robo-advisers are subject to the same regulation as traditional asset managers - a regulatory burden which is only likely to increase over time. The legal fees associated with regulation are not cheap.
Compounding the problem, a competitive robo-adviser needs to offer lower fees than a traditional asset manager. Probably they need to be in the 0.25-0.5% range, which means that for each $1m under management they are picking up $5,000 of revenue. Out of that they need to pay salaries, infrastructure costs, legal costs, rent, taxes etc. Let's be conservative and say that these costs are $2.5m per year. That means that a robo-advisor needs about $0.5bn under management before it begins to turn a profit.
I don't think it's really suitable as a side project.
So holding assets under management is less the issue than arranging purchase on behalf of clients.
Either way the cost issue dominates.
perhaps the standards settings bodies such as the CFA Institute should share some of the responsibility
How to find out which stock will rise or tank next week is left as an exercise for the reader.