Are Hedge Funds Staging a Comeback?
Stan Altshuller
Co-Founder @ Goodbrand | Content Marketing, Investment Management, FinTech, Data
The hedge fund industry, while taking a harsh lashing from critics in recent years, has not decreased in size. If anything, it has grown. While there could be many reasons for this, one obvious reason is that there is upside for the hedge fund industry, with implications for the broader class of actively managed funds.
That upside is the return of alpha.
We have done work on multiple factors driving the hedge fund industry over the years, and most our client presentations and public articles begin with a rather bleak-looking chart: 5-year rolling alpha of HFRI (A common hedge fund index) against the S&P 500 Total Return.
Taking the data through July 2016, it looks like this:
But more recently, the 5-year alpha has rebounded sharply (albeit, to zero):
It’s not much, but it could be the start of something. Is this uptick just the dead cat bounce, or can we actually expect a return to better alpha generation? Based on the alpha drivers we track, there is some good news here, and there are also plenty of challenges remaining. Let’s look at the data.
In prior research, we have shown that certain market factors play a role in hedge fund alpha. Dispersion is measured as the difference in performance between the top and bottom half of the equities market. Usually, managers attain higher alpha in higher dispersion regimes. In addition, low intra-correlation of securities in the market usually translates to higher alpha. Finally, market breadth also seems to play a role. While we have not shown this explicitly, annual data shows managers fare better in times of high market breadth when more than a handful of stocks are responsible for the lion’s share of gains.
Risk-free rates also play a role, as do industry specific concepts such as liquidity and crowding. Here is the rundown on how things have improved since 2015:
First, the good news. Intra-stock correlations have fallen sharply since last year. We have found that low correlation regimes coincide with high alpha generation for hedge funds (See Article 1, Article 2). Recently, correlations have been crashing not just on an intra-stock basis, but also on an intra-sector basis.
We measure the degree to which stocks move in lock-step and take a rolling 12-month measure using all the stocks in Russell 3000. Here is what it looks like:
Running a similar measure on sectors (sector correlations) we see the same trend. Individual sectors went from being highly correlated (80% in 2012) to loosely correlated (14% as of June of this year). These are record low levels of sector correlations.
Another promising measure is market breadth. We wrote about this last year using the S&P 1500. Re-running the same analysis for Russell 3000 and updating through the end of 2016 we see the following:
Breadth has recovered since the days when FANG dominated the markets. In 2016, 84 stocks shared half the market’s winning P&L, when it was only 37 stocks in 2015. This year promises to continue in the same vein with robust breadth helping the markets diversify its gains. This means that there are more areas managers can look for robust alpha, representing a marked improvement from prior years.
Unfortunately, some major challenges remain.
Read the rest of this article here: https://www.novus.com/blog/hedge-funds-staging-comeback/
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7 年Hi Stan, Great article, and the reversal in trends in fund flows, from ETFs back to mutual funds in the last quarter supports your alpha argument. I was just a little curious on the low correlation and high breadth argument. Does not look like an sustainable trend, according to you will the high breadth pull the sector correlation up or is it going to be the other way around.??
KnowRisk Consulting
7 年Good article Stan. I have been working on including relative breadth and dispersion to market in the active share formulation with some good early results.
Co-Founder @ Goodbrand | Content Marketing, Investment Management, FinTech, Data
7 年The HFRI is their Equity Hedge index. The plot is of the 5-year Rolling statistical alpha (intercept of a regression, annualized) of the index against S&P. Funny you should ask more about crowding, I am working on a piece to dive deeper this week.
Business Development & Strategy
7 年Stan, As usual an extremely insightful piece. A couple of questions: What do the values on the y-axis of the HFRI/SPY correlation plot measure? Separately, it is clear from your findings that the crowdedness headwinds are not being alleviated. Im curious if you observe crowdedness is getting worse (or just not better).