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  • We run a U.S. sector-based, long-or-flat trend following strategy.
  • With largely sideways market action, 2015 was a tough year for trend following, especially for long-only trend following, since the large negative trend in the Energy sector could not be monetized.
  • We believe portfolio construction can be broken down into the signals generated and the rules used to transform these signals into portfolio allocations – a framework we often reference to as “ingredients” and “recipe.”
  • While in a sideways market we would expect the trend-following signals – the ingredients – to be the largest drag on performance, we actually find that it was therules of portfolio construction – the recipe – that caused the largest drag in 2015.

All analysis in this report is backtested and hypothetical and does not include management or trading costs. Please read the important disclosures at the end of this blog post.

At Newfound Research, we run a number of actively risk-managed strategies.  The objective of these strategies is to provide meaningful upside participation while avoiding significant drawdowns during bear markets.

To achieve this, we embrace a trend-following approach, avoiding those investments identified as having a negative trend.

One such portfolio is our Risk Managed U.S. Sectors strategy.  This portfolio invests in exchange traded funds (ETFs) representing the 9 primary U.S. sectors (e.g. energy, financials, utilities, et cetera).  When a sector has a positive signal, it is given an equal-weight within the portfolio.  When a sector exhibits negative momentum, it is removed, and available capital is re-allocated to remaining positive sectors.  Each sector is capped at a 25% allocation, however, meaning that when 3 or fewer sectors have positive trends, the portfolio will build a position in short-term U.S. Treasuries.

As a baseline comparison, we’ll use the S&P 500, which was up 1.2% in 2015.

We expect such a strategy to achieve its objective when there are a number of significant trends (either positive or negative), but struggle when the majority of sectors exhibit sideways behavior.  As with most trend following strategies, sideways markets can cause whipsaw, where positions are bought at highs and sold at lows.

2015 was a difficult year for such a portfolio.  After a difficult year, we believe it is important to do a deep dive to figure out exactly what went wrong and whether it raises concerns about the assumptions or processes the portfolio is built upon.  (Note: While the strategy certainly underperformed the S&P 500 this year, it is important to remember a couple of things.  First, the S&P 500 is not a great short-term benchmark for many active asset allocation approaches.  More appropriate benchmarks (i.e. an equity position with an option overlay for risk management purposes) would show a smaller performance gap.  Second, any active approach will go through periods of under- and out-performance.  No strategy outperforms all of the time.  Historically speaking, the underperformance this year was quite moderate relative to our expectations based on historical data).

The easiest way to begin evaluating the portfolio is to look at the trend following returns generated on a sector-by-sector basis.  In other words, we will treat each sector as its own trend following system and evaluate them individually.

For this analysis we use the SPDR Select Sector ETFs.

  • XLB: Materials
  • XLE: Energy
  • XLF: Financials
  • XLI: Industrials
  • XLK: Technology
  • XLP: Consumer Staples
  • XLU: Utilities
  • XLV: Health Care
  • XLY: Consumer Discretionary

To begin, need to compare our baseline strategic weights versus the S&P 500.  In other words, if we had no trend following signals and were just long all year long, what would the return be of an equal weight portfolio of all the sectors?  The answer is -1.3%.  So just to get back to even (and this is without any transaction costs or management fees), trend following would have to add 250bp of return.

Sector Trend Following

What we can see is what we would expect: while several sectors eked out positive returns (e.g. XLY, XLP and XLV), other sectors were significant detractors (e.g. XLB, XLK, XLI, and XLF).

Another important way to evaluate this is how did each trend following strategy do relative to a buy and hold approach.  For example, while our trend model stayed out of XLE all year, and therefore generated no return, XLE had significant losses.  Therefore, compared to buy and hold, our trend following added significant value.

Relative Performance - Signals v. B&H

We can see, however, that while some of our individual sector trend following systems generated positive returns, they underperformed relative to buy and hold (e.g. XLV).

An equal-weight allocation to these 9 systems would have returned -4.7%.  In other words, trend following caused a drag of -340bp on top of the strategic portfolio drag.

Acknowledging that sideways markets can be particularly difficult for a trend following model to navigate, we employ a dollar cost averaging approach.  Instead of implementing each trend signal immediately, we implement it over a 4-week period (assuming the signal stays consistent).  Our hypothesis is that in a sideways market, a trend signal will turn on at exactly the wrong time.  Therefore, by dollar cost averaging, we can limit the cost of whipsaw.

One theme we continue to hear is that many investors believe that since markets are “moving faster,” we should act faster to avoid getting whipsawed.  Our dollar cost averaging approach flies in the face of this logic.  So the question is, did the approach add value in real-time in the sideways markets of 2015?

DCA - Additive or Subtractive?

We can see that for many of the trend following systems, dollar cost averaging was very additive to performance.  For example, dollar cost averaging added over 650bp of performance to the trend following systems of XLF, XLI and XLK and added 490bp to XLU.  On the other hand, dollar cost averaging was a drag for XLB, causing that system to lose an extra 546bp more.

An equal-weight portfolio of the dollar cost averaged trend following models would have returned -2.7%, meaning that the dollar cost averaging helped claw back 200bp that trend following lost.  So whipsaw was still a cost, but instead of -340bp, it was reduced to 140bp.

At the beginning of this article, we discussed how the portfolio rules work.  Another way to interpret those rules is that the portfolio has an equal weight allocation to each of the 9 underlying trend following strategies and simply levers up and down exposure to those strategies.

For example, when a positive trend is identified in each sector, each strategy is given its base-line allocation of 1/9th of the portfolio.  However, if 8 of the 9 sectors are off, those trend following strategies are entirely de-levered and the one remaining strategy is levered up 2.25x, since it is 25% of the portfolio.

While no leverage is actually applied, this model of thinking about the portfolio allows us to examine how the rules of portfolio construction affected portfolio return.  We can do this simply by translating the rules at any given time into how much “leverage” we would be applying to each trading strategy.

Now, it is important first to determine that this model of portfolio construction is indeed equivalent.  Below I plot the hypothetical Newfound Risk Managed U.S. Sectors model returns as well as the hypothetical results from equally-weighting exposure to the 9 trend following strategies, levered up and down based on available capital.  We can see they are identical.

RMUS Index v Proxy

So then how did applying leverage to each dollar-cost averaged trend following system work?

Relative Performance - Leveraged DCA Signal v. B&H

Not well.  We can see the results even more clearly on a sector-by-sector breakdown of relative performance versus buy and hold.

Comparing Returns - DCA Signal v Leveraged DCA Signal

For nearly every single sector, relative performance was made worse by the application of “leverage” – i.e. the rules we use to build the portfolio and re-use available capital.  For example, we can see that the relative loss for XLU was multiplied 3x.  In aggregate, the rules caused a drag of -275bp.

We can see the 2015 total return of each step of protfolio construction below:

2015 Returns

So we really have three significant causes of underperformance:

  • An equal-weight sector approach under-performed the S&P 500 by -250bp
  • Trend following created a drag of -340bp from whipsaw
  • Dollar cost averaging trades over time helped reduce the whipsaw cost, adding back 200bp, putting the total cost of whipsaw from trend following at -140bp
  • The rules of portfolio construction caused another -275bp drag on performance

So this raises three questions:

  • Should we continue to equal weight the sectors?
  • Are our trend signals “broken”?
  • Should we continue to use this rule set to build the portfolio?

While the relative underperformance exhibited by an equal weight sector portfolio in 2015 was unfortunate, it is well within historical norms.  An equal sector weight portfolio has underperformed the market in six of the last seventeen years.  Historically, such an approach has outperformed the market over longer time periods.  But that is not why we use it.  We use this approach because we believe it (a) serves as another risk-management tool, avoiding over-exposure to “bubble” sectors, and (2) allows each trend following system to equally contribute to overall portfolio risk.

So are our trend signals “broken”?  We believe not: whipsaw is expected in a sideways market and we believe that -140bp of whipsaw cost is well within normal limits for such a period.

So what about our rules?  Why bother applying the “leverage”?  Why not just give each system 1/9th of the portfolio and let it sit in cash if there is not positive trend?

We apply the leverage because it helps cut down on cash drag, especially in periods where a large number of sectors turn off and only a few turn back on.  Given that one half of the stated objective of the portfolio is to capture as much upside potential of the equity market as possible, we believe being invested is a critical component of achieving that goal.

Below we plot the hypothetical RMUS index versus an equal weight portfolio of the 9 dollar cost averaged trend following strategies.  We can see that when the trend following strategies are in cash, and we do not re-use that cash, it can cause a significant drag.

EW DCA Trend v Leverage
This is made even clearer when we plot the relative performance of the two equity curves:

Relative EW DCA Index v Leverage

We can see that while the re-use of available capital has been additive to performance over the long-term, there are periods that it can cause short-term underperformance. These periods have generally been short-lived and spread out.

While trend following was not a successful approach as applied in 2015, we believe that it is critical to analyze exactly which pieces of portfolio construction were responsible for how much drag.

In our analysis, we’ve found that the equal weight sector approach was responsible for 37.8% of the under-performance, the trend following systems were responsible for 21.4% of the under-performance, and the portfolio construction rules were responsible for the remaining 40.8% of under-performance.

Based on this analysis, we do not believe that any part of our portfolio process is fundamentally broken, but are reminded of Murphy’s law of portfolio management: sometimes everything that can go wrong will.



Important DisclosuresNewfound began to actively calculate the performance of the Newfound Risk Managed U.S. Sectors index on February 26, 2015. Performance results prior to February 26, 2015 are all backtested and hypothetical. Newfound began to manage and trade a brokerage account on February 26, 2015, which sole purpose was to track the performance of the index. Starting in February 2014, certain Newfound clients invested in a similar strategy, managed by Newfound, but implemented through Rydex sector mutual funds (not ETFs), with certain additional differences. Before you invest in the Newfound Risk Managed U.S. Sectors strategy, you are strongly encouraged to consult with your financial advisor. Newfound shall have the right at any time, in its sole discretion, to substitute any or all of the ETFs or other securities utilized within the investment strategy.

This document (including the hypothetical/backtested performance results) is provided for informational purposes only and is subject to revision. This document is not an offer to sell or a solicitation of an offer to purchase an interest or shares (“Interests”) in any pooled vehicle. Newfound does not assume any obligation or duty to update or otherwise revise information set forth herein. This document is not to be reproduced or transmitted, in whole or in part, to other third parties, without the prior consent of Newfound.

Certain information contained in this presentation constitutes “forward-looking statements,” which can be identified by the use of forward-looking terminology such as “may,” “will,” “should,” “expect,” “anticipate,” “project,” “estimate,” “intend,” “continue,” or “believe,” or the negatives thereof or other variations or comparable terminology. Due to various risks and uncertainties, actual events or results or the actual performance of an investment managed using any of the investment strategies or styles described in this document may differ materially from those reflected in such forward-looking statements or in the hypothetical/backtested results included in this presentation. The information in this presentation is made available on an “as is,” without representation or warranty basis.

There can be no assurance that any investment strategy or style will achieve any level of performance, and investment results may vary substantially from year to year or even from month to month. An investor could lose all or substantially all of his or her investment. Both the use of a single adviser and the focus on a single investment strategy could result in the lack of diversification and consequently, higher risk. The information herein is not intended to provide, and should not be relied upon for, accounting, legal or tax advice or investment recommendations. You should consult your investment adviser, tax, legal, accounting or other advisors about the matters discussed herein. These materials represent an assessment of the market environment at specific points in time and are intended neither to be a guarantee of future events nor as a primary basis for investment decisions. The hypothetical/backtested performance results and model performance results should not be construed as advice meeting the particular needs of any investor. Past performance (whether actual, hypothetical/backtested or model performance) is not indicative of future performance and investments in equity securities do present risk of loss. The ability to replicate the hypothetical or model performance results in actual trading could be affected by market or economic conditions, among other things.

Investors should understand that while performance results may show a general rising trend at times, there is no assurance that any such trends will continue. If such trends are broken, then investors may experience real losses. No representation is being made that any account will achieve performance results similar to those shown in this presentation. In fact, there may be substantial differences between backtested performance results and the actual results subsequently achieved by any particular investment program. There are other factors related to the markets in general or to the implementation of any specific investment program which have not been fully accounted for in the preparation of the hypothetical/backtested performance results, all of which may adversely affect actual portfolio management results. The information included in this presentation reflects the different assumptions, views and analytical methods of Newfound as of the date of this presentation.

Performance during the backtested period is not based on live results produced by an investor’s actual investing and trading, but was achieved by the retroactive application of a model designed with the benefit of hindsight, and is not based on live results produced by an investor’s investment and trading, and fees, expenses, transaction costs, commissions, penalties or taxes have not been netted from the gross performance results except as is otherwise described in this presentation. The performance results include reinvestment of dividends, capital gains and other earnings. As the information was backtested, it does not reflect contemporaneous advice or record keeping by an investment adviser. Actual, live client results may have materially differed from the presented performance results.

The Hypothetical Information and model performance assume full investment, whereas actual accounts and funds managed by an adviser would most likely have a positive cash position. Had the Hypothetical Information or model performance included the cash position, the information would have been different and generally may have been lower. While Newfound believes the outside data sources cited to be credible, it has not independently verified the accuracy of any of their inputs or calculations and, therefore, does not warranty the accuracy of any third-party sources or information.

This document contains the opinions of the managers and such opinions are subject to change without notice. This document has been distributed for informational purposes only and should not be considered as investment advice or a recommendation of any particular security, strategy or investment product. This document does not reflect the actual performance results of any Newfound investment strategy or index.  This purpose of this document is to explain Newfound’s beliefs that:  there is no holy grail investment style that will out-perform in all market environments; being systematic and disciplined in use of active strategies is the best way to capture out-performance because we don’t know when the out-performance will happen; and diversifying across several active approaches – all of which have independently proven to add value in different market environments – can help smooth out short-term underperformance of a single approach.

The investment strategies and themes discussed herein may be unsuitable for investors depending on their specific investment objectives and financial situation.

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© Newfound Research LLC, 2016.  All rights reserved.

Corey is co-founder and Chief Investment Officer of Newfound Research, a quantitative asset manager offering a suite of separately managed accounts and mutual funds. At Newfound, Corey is responsible for portfolio management, investment research, strategy development, and communication of the firm's views to clients. Prior to offering asset management services, Newfound licensed research from the quantitative investment models developed by Corey. At peak, this research helped steer the tactical allocation decisions for upwards of $10bn. Corey holds a Master of Science in Computational Finance from Carnegie Mellon University and a Bachelor of Science in Computer Science, cum laude, from Cornell University. You can connect with Corey on LinkedIn or Twitter.