Managed Futures In The Portfolio

The last few months have been a fantastic case for the role of managed futures in a portfolio. Managed futures do well in periods of macro volatility, and this time is no different. What investment, that can be measured passively, has done well this year? Short term treasuries? Nope. The Bloomberg US Treasury 1-3 Year Index is down 1.5% YTD (through Feb 14, 2022). Stocks? Nope, the S&P 500 TR Index is down 7.5% and the Nasdaq-100 TR Index is down 12.5%. Real Estate? The Real Estate Select Sector TR Index is down 13.2% YTD. Some of the tail risk and long vol strategies were also down. How about managed futures? The MLM Index EV (15V) is up 10.3% YTD. So why is it that managed futures have not gained wider acceptance as a portfolio element? There is a lot of blame to go around. Let’s have a look.

All the issues around managed futures arise from the character of the returns. Managed futures have positive skew, the profile of an option buyer. Lots of small losses (like premium paid), with occasional big gains. This is the reverse of the stock market, where the market goes up in small steps and down in a whoosh (negative skew). The attraction to managed futures is that the big gains are often at the same time as the stock market whoosh, like this year, and that they can capture that convexity whether it’s being driven by market moves up or down. Risk parity models try a similar approach – using bonds to diversify stocks, but that only holds when bonds go up. Sometimes its bonds falling that cause the equity whooshes. Sound familiar? Being able to generate convexity on both sides is a big improvement. The character of managed futures returns breeds a lot of behavioral biases on the part of investors. But first, let’s look at the managers.

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What Did Skew Do for You?

Sharpe or Skew?

Managed Futures offers this promise- uncorrelated returns with the potential for crisis protection. How an allocator chooses to allocate to this asset class is important. Do they judge managers by best risk-adjusted performance? Or do they judge managers by how they improve the risk-adjusted performance of the total portfolio? Do they view the asset as an absolute return element, prioritizing Sharpe Ratio, or as a portfolio element prioritizing diversification? Assuming the latter, prioritizing the addition of positive skew is critical to crisis diversification, offsetting the historically negative skew of the equity market and creating a better total portfolio.

Typical Managed Futures managers employ a risk controlled approach called vol targeting (we have written previously on this topic here and here). In essence, vol targeting involves increasing exposure when volatility is low and reducing it when volatility is high. Historically this has improved manager Sharpe ratio at the expense of skew. Our MLM Index EV and MLM Global Index EV are constructed a bit differently. While following similar trend following algorithms, positions are sized on exposure, not vol. The net effect is our indices are long changes in volatility, providing higher skew when needed most; in highly volatile markets. This makes intuitive sense; trend following tends to crash up while equity markets tend to crash down. The last thing you want to do is put the brakes on your diversifier while it is crashing up.

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With Trend Following – Beta Is Not Just Fine, It Is Preferable

One opportunity this stay-at-home quarantine has afforded us, sad as it may sound to some, is increased time to work through the pile of academic papers on quantitative finance. It is amazing how much great stuff is out there. When you come across one that happens to be right in your wheel house and makes the case in a MUCH smarter sounding way than we ever can, all to the better. Such as it was with this recent piece – When it pays to follow the crowd: Strategy conformity and CTA performance by Nicolas Bollen, Mark Hutchinson and John O’Brien from Vanderbilt University and University College Cork.

The authors find that contrary to other areas of fund management in hedge funds and mutual funds, where being different is a positive trait (research on active share in the equity space is informative – see here), when it comes to CTAs/Managed Futures being a purist is the right approach. The authors analyzed the data using two different methods. First they sort funds into style groupings and calculate a Strategy Distinctiveness Index – funds that have low correlations to the style. They then look at the performance of portfolios of funds based on the SDI score. Second, they empirically check by rebuilding a simple model for standard trend following and regress funds against that model. Closer to pure trend the better.

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Value and Rebalancing

The temptation is strong. The strategy you have used for years has underperformed. Why take the risk? Move back to the benchmark. Like a remake of a classic film, we have seen most of this before. In early 2009, pressure was on value stock managers to change their stripes. We recall a conversation from April 2009 with a foundation client invested in our Large Cap Value strategy. We had recently rolled to a new portfolio, and one of the selections was Wyndham Hotels. They were quite agitated – after the financial crisis it was unlikely that people would be going back to hotels for years. How could we? I took the quant’s way out of the question – “the model made me do it.” Wyndham was the best performing stock in the S&P 500 over the next 12 months.

The current reckoning certainly rhymes with the financial crisis. We must confess that even our conviction was challenged this time, and I promise you, ours runs deeper than most. Last week it was time to roll our value portfolio forward. Put the names back into the hat, take a fresh look, buy what is cheapest based on the models and caveats we employ. To add to the insult, it was also time to rebalance our multi-asset portfolios. What this meant was we had to buy a portfolio of decimated value names, in some cases buy more of them. Alaska Air? Kohl’s? Valero? MGM? Who is going to fly, go to a department store, get gas or gamble? Sure, these stocks have never really been cheaper, but come on. This is wake up in the middle of the night with these ticker symbols swirling in your head stuff. And you want us to buy more!

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Managed Futures and the Virus: Update

We posted a blog on March 2nd discussing the initial reaction of managed futures to the market break as a result of COVID-19, including diversification and position sizing issues around volatility targeting at equity market highs. Today, we wanted to give an update on managed futures performance as the crisis has dragged out. We often tell our clients; building diversification into a portfolio and preparing for crisis events takes a multi-pronged approach. If you want instant protection to an equity market sell-off, long duration bonds provide the best bang for your buck. As a crisis extends bond protection is less reliable; this where managed futures (aka systematic trend following) steps in, accepting directional crash flows.

From the chart below (updated from previous blog), we see after a slow start managed futures has performed well, and more importantly, positive! Managed futures is a tough allocation to hold in good times, when volatility is low, when equity markets make new highs year after year. This is why you own it.

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Managed Futures and the Virus

Managed futures is supposed to be a “profitable hedge” – long term positive returns with zero or negative correlation to the equity market. The recent coronavirus crisis highlights one of our core beliefs, namely that the construction of most managed futures portfolios diminishes that critical characteristic in two important ways. First, they include equity futures in the portfolio mix, and second, positions are adjusted for volatility. The combination of these two things is particularly deadly. There is nothing wrong with trend following equity futures. But anyone who watches the markets knows that equity vol is lowest at the TOP! That means that managers will have their largest equity positions at the TOP! Furthermore, when the market breaks, the eventual short position they take will be much, much smaller than the long they had at the top. In non-equity markets, the same can be true. In the recent virus break, crude was previously making new highs, then broke very sharply. Vol adjusted short positions will be tiny. Chart below compares a sampling of large blue-chip futures mutual funds with the MLM Index EV (15V) (which does not vol adjust).

Data source: Bloomberg LP, Mount Lucas

It’s a question of conflicting goals. If you want to maximize Sharpe ratio as a standalone investment, then vol adjust. If the rest of your portfolio is full of stocks and credits already, and you want a “profitable hedge” to maximize total portfolio Sharpe ratio, don’t. (See this blog post for more technical detail).

Correlation Is Not Causation

Drummed into applied math students everywhere. It even has its own website, with this gem on how margarine consumption is correlated with divorce rates in Maine.

correlation

Should be true enough in markets as well. But in reality, at least in pockets, it isn’t always true. Stocks have always in part been driven by relative valuations. Stat-arb was a big thing some twenty years ago when computing power was starting to be applied to stocks. Pairs trading based on common risk factors makes some sense, Ford and GM operate in the same business after all, it makes sense they should be broadly be impacted by the same broad industry and economy trends. When computing power jumped later, factor investing came to dominate. Grouping stocks based on different attributes has some merit. At their heart, the old quants had valuation firmly in the mix of parameters. Many of the newer factors and machine learning quants have thrown out what ultimately matters. Price – or rather ‘value’. Low vol investing doesn’t care whether a stock is priced for perfection or not. Quality takes no account of what that pricing implies going forward, just that its metrics are stable. Momentum will push junk yields far below default rates and not even notice. As long as the quants see the property they like, regardless of valuation, away they go. They operate as if they are just observers, quietly taking a look from afar and being able to interact without impact. The Hawthorne effect is the phenomena where the behavior of subjects is altered due to the awareness of being observed. The quants in places are not observing any longer, and their impact is self-fulfilling, for a time anyways. There is plenty to be gained from applying stats and metrics to markets, but it is surely important to not take it too far.

You can see this today (September 9, 2019). ‘Value’ stocks are up a lot, not particularly based on the merits of the underlying businesses, but because other types of stocks are down. When stocks are held for their correlation properties, strange things happen. Like the butterfly that flaps its wings and causes a distant thunderstorm. It’s easier to make a case that at least today, retail stock Gap is up big because Boris Johnson chose to shut down parliament. Not often thought of as a butterfly, but bear with the logic here. Boris shut parliament…which catalyzed votes to stave off ‘no deal’ Brexit…which caused Gilts to fall…which drove global bonds to fall…which pushes growth stocks, utility stocks and REITS down…which makes value stocks jump. Seem strange? It should. But the stock market acts this way more and more. Factor investing and ETF baskets that segment stocks into groups are big drivers of prices, particularly when smaller names get larger weights in factors. We need to get back to a more fundamentally driven world.

Looking Beneath The Hood Of Factor Investing

Factor investing, particularly within the scope of risk premia strategies, has been a popular topic. Vanguard has convinced the investing community that beta can be achieved by buying passive indices and the cost of owning beta should be very low. Investors use risk premia strategies as a source of generating alpha.   But …. are people looking carefully enough when evaluating these strategies? Much gets hidden in broad risk and return statistics. We thought we would take a deeper dive into how factors behave over market cycles. Continue reading →

Can News Flow Create Value?

Searching Google for “Retail Apocalypse” returns 8.8 million results (in .45 seconds!). For the better part of a decade the sector has been beaten up in the press. The headlines are not unfounded. Former staples of American consumerism such as Toys-R-Us, Radio Shack, and Payless ShoeSource are no longer, while many others struggle to find stable ground. The negative hype surrounding the Retail Apocalypse has created a fog around the whole sector and retail stocks have not been a popular pick amongst active money managers in recent memory.

Behind the retail apocalypse headlines are companies who have adapted to new market conditions, have strong balance sheets, and forward-thinking management. Looking into the fog, we see a shunned sector, overly beaten down valuations, and good potential to seek out value. Our Mount Lucas Focused Large Cap Value currently holds 4 retail names amongst its 36 total holdings. Some may view this as a high concentration of an unpopular sector for a focused strategy which holds no more than 40 stocks. However, our quantitative stock picking algorithms have no such opinions, they are programmed to seek value.

Below are the 4 retail names currently being held in the strategy, each picked for the portfolio on Sept. 22, 2017. Presented are price charts with selection date indicated and resulting price move, as well as headlines from the time preceding selection. Even positive news is tinged with negatively worded headlines. We believe this illustrates the headline fear and peer pressures that all human stock pickers face, as well as the benefit of a non-biased quantitative approach to value investing.

Mount Lucas Focused Large Cap Value Strategy Information

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