Gambling vs. Investing and the Stock Fixation

Originally published in the Brandywine Asset Management Monthly Report.

Gambling vs. Investing
In a conference presentation given by Mike Dever to a group of retail investors last year, 10% of the audience walked out before he even got to his first slide.

Mike started his talk by asking how many people in the audience were investors. Virtually everyone raised their hand. He then asked them if their portfolios made money when the market went up, and lost when the market went down. Again, virtually everyone in the audience raised their hand. His next statement was intended to get their attention. He told the audience that contrary to what they thought, they actually were NOT investors. They were gamblers. Following that, 10% of the audience, insulted, got up and left. His point was that if any single market dominates your performance, you’re gambling.

He followed this by explaining to the remaining people that he never told them which “market” he was referring to, yet they all assumed it was the stock market. This underscores the level of fixation people have on owning stocks. No other markets enter their thoughts, when in reality there are literally hundreds of other, equally valid markets across which they can profitably diversify their portfolios.

The Stock Fixation
In several prior reports(1), we discussed the fixation people have on stocks and how they intentionally hold over-weighted long equity positions. In fact, it is often touted that the model diversified portfolio is one that is comprised of 60% long stocks and 40% long bonds. But as Mike Dever states in “Myth #8: Trading is Gambling – Investing is Safer” of his best-seller, “A person who is 60% long stocks and 40% long bonds is taking unnecessary risk. They are gambling.” That is because they are unnecessarily dependent on just three dominant return drivers – investor sentiment and earnings growth that power stock prices(2), and interest rate levels that power bond prices. If those falter, so does their portfolio. That doesn’t even come close to defining “diversification.”

True portfolio diversification can only be achieved by diversifying across return drivers and markets. Because stock prices are powered by only two principal return drivers, a portfolio that is dominated by long stock positions will never be diversified. As a result, you will get performance that looks like this:


Graph 1

Don’t get seduced by the fact that this graph ends on a high note and many stocks are now at all-time highs. People who concentrate their money in stocks have exposed themselves to unnecessary risk. The risk is unnecessary because it is easily diversified away. While academics and conventional financial wisdom tout the benefit of diversifying across additional “asset classes” such as bonds, gold and real estate, this displays a lack of understanding of the return drivers that drive the prices of each of those markets. Owning bonds at 3% is not the same as owning bonds at 10%. Return driver based investing adjusts for that fact.

To illustrate this point, let’s add a second return driver to the portfolio, in the form of a fundamentally-based strategy trading in commodity markets. When combined with the long-only S&P 500 strategy, not only is performance improved, but risk is also dramatically reduced.


Graph 2

The smoother blue line (the two-strategy portfolio) is clearly more desirable than the erratic red line (the S&P 500 Total Return index). The concept of portfolio diversification is really as simply as what we’ve just shown. But it doesn’t stop there.

The fact is there are potentially hundreds of return drivers that can be employed to truly diversify a portfolio. This diversified return driver based approach is at the heart of Brandywine’s Symphony Program, which employs dozens of trading strategies – based on a diversity of return drivers – to trade across more than 100 global financial and commodity markets. The result is a portfolio that targets returns in excess of those that can be earned from stocks, but with substantially less risk. This is not just theoretical. You can see the actual results now.

A Comparison: Brandywine vs. Stocks
U.S. equities have had a great run over the recent past. Since the launch of Brandywine’s Symphony Preferred in July 2011, the S&P 500 has gained 56%. But as shown in the first graph in this report, this return, because it was dependent on two dominant return drivers, subjected its participants to high levels of event risk.

In contrast, Brandywine’s Symphony Preferred gained almost 100% over the same period. And because its returns were produced from the interaction of dozens of disparate return drivers applied across more than 100 global financial and commodity markets, Symphony Preferred’s event risk is much lower. In other words, poor performance for stocks does not mean Brandywine’s performance will suffer as well. In fact, some of Brandywine’s best performance has come during some of the worst-performing periods for stocks, as is illustrated in the following chart. This shows how Brandywine produced substantial profits at exactly the worst period for stocks over the past five years.


Graph 3

And Brandywine hasn’t just provided “tail risk” protection. Brandywine outperformed stocks over the entire period as well.


Graph 4

If it really is that simple, then why do so many people; individuals, professional investors, financial gurus, public pension plans – the list includes virtually every ‘investor’ – gamble their money in risky, stock-centric portfolios? The answers are numerous, and one of the best compilations of well-researched reasons can be found in Daniel Kahneman’s excellent book, Thinking Fast and Slow. But the very fact that people behave in irrational ways (we measure rationality as desiring to earn the most money with the least risk) is what allows so many under-exploited return drivers to exist and to be developed into profitable, and diversifying, trading strategies. That said, there are a few answers that stand out:

  1. All their friends are doing it. This is a cute way of saying that people define investment risk less by actual investment results and more by how different their results are compared to the “market.” In other words, reputational risk, or career risk, dominates true portfolio risk.
  2. They, themselves, are unable to uncover return drivers, other than those currently in the public domain (which are referred to as “beta,” or for those less well-known, “alternative beta”).
  3. They fear missing out on the returns they can get from holding stocks. It’s been banged into their heads that stocks outperform in the long-run and the best way to earn high returns is by putting money into stocks.

We can’t help with reason #1. If someone is truly more concerned with “fitting in” than making money, their affliction is outside of our domain expertise. But we can help with reasons #2 & #3. Over our 30+ years of investment research and trading, Brandywine has developed dozens of trading strategies based on numerous return drivers. These return drivers are generally obscure and not in the public domain. For example, where there might be thousands of academic papers and articles written about the long-term “risk premia” earned from buying-and-holding stocks, there is very little written about the return driver underlying the commodity markets strategy that produced the smoothed results in Graph 2. This is despite the fact that the commodity strategy is potentially even more soundly based. (We allude to the triviality of the “risk premia” construct is this past report).

When Radical is Rational
So what is a reasonable allocation to be made to long equity positions in a portfolio? For those who have bought into the conventional portfolio diversification advice, the correct answer – although quite logical – can appear radical and shocking. Let’s assume you are able to diversify your portfolio across 50 return drivers and 100+ markets. Everything else being equal, the allocation to a buy-and-hold strategy in stocks would approximate 1/50 of your portfolio allocation, or 2%. 

The fact that this allocation appears radical to most people is due to “reference” bias, not logic. If 60% is the reference point for an allocation to buying-and-holding stocks, any dramatic deviation from that level is “radical.” In addition, because people are battered with stories of how equities produce a positive return over time, they are blinded to both the existence of – and equal profit opportunities offered by – other return drivers. As a result, they are never presented (except in limited distribution reports such as this one) with research showing the true source of the returns driving markets. Without this understanding, they are constrained to gambling on a distinctly inferior, stock market dominated “Poor-folio.”

Your Move…
There is clearly a better way. When the next stock market decline occurs, wouldn’t you prefer to be invested in a program that has the ability to not only weather the storm, but, as demonstrated by the actual performance of Brandywine’s Symphony Preferred in Q3 2011, profit from it as well? We’re guessing that would be interesting. And if you could have that potential protection without giving up the ability to perform well during equity bull markets, would that increase your interest? Brandywine’s Symphony Preferred did just that. This report gave you a glimpse as to how and why.

If you’re intrigued and would like to learn more, please contact Rob Proctor, one of Brandywine’s principals, to have him take you through our online presentation. We look forward to helping you earn greater returns with less risk.

Footnotes:

(1) Past monthly reports that discussed the conventional bias towards holding long stock positions:
http://www.brandywine.com/pdf/monthly/BAM201302.pdf
http://www.brandywine.com/pdf/monthly/BAM201303.pdf
http://www.brandywine.com/pdf/monthly/BAM201304.pdf
http://www.brandywine.com/pdf/monthly/BAM201308.pdf
http://www.brandywine.com/pdf/monthly/BAM201401.pdf

(2) The two dominant return drivers powering stock prices are revealed in the opening chapter of Mr. Dever’s book, which you can read here: http://bit.ly/xrz2Ur

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The stark difference between mean-variance optimization and Brandywine’s “Predictive Diversification”

Originally published in the Brandywine Asset Management Monthly Report.

Milestone

Brandywine just completed our third full year of trading Brandywine’s Symphony Program. Prior to launching the Program in July 2011 we presented our performance expectations. It was our belief that our Return Driver based investment approach and Predictive Diversification portfolio allocation model would enable us to achieve those results with a reasonable level of confidence.

We are pleased to report that our performance has continued to track our expectations. Over the past three years Brandywine’s conservative Symphony Program has achieved a +7.31% annualized return with a Sharpe Ratio of 1.03 and our more aggressive Brandywine Symphony Preferred has produced a +28.26% annualized return with a Sharpe Ratio of 1.03. Each of these performances ranks Brandywine among the top investment managers on either a risk-adjusted or absolute return basis. But more importantly, these performances track right in line with expectations.

While every investment manager is required to disclose that PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS, Brandywine has devoted decades to understanding the aspects of investing that contribute to predictive performance. After all, if the past provides NO indication of future performance, then investing is not “investing” at all. It is gambling. In contrast to Brandywine; most academic research, and even many investment managers, focus on creating optimal portfolios – not predictive portfolios. There is an enormous philosophical and practical difference.

The stark difference between mean-variance optimization and Brandywine’s “Predictive Diversification”

Brandywine’s Symphony Program is the result of Brandywine’s 30+ years of investment research and trading. When Brandywine began the development of our Brandywine Benchmark program in the late 1980s, we recruited some top academics and finance practitioners to assist us in developing the portfolio allocation model. That model would manage how much capital to commit to each individual trading strategy and market in our portfolio.

In one test, we provided one academic researcher with performance data from more than ten strategies trading across dozens of markets. He returned with the allocation we were to make to each strategy/market combination. In short, a few strategy/market combinations were recommended to receive large allocations, while most were to receive no allocation at all. When we expressed our concern to the researcher that this concentrated portfolio was unlikely to perform well in the future (it didn’t pass the “sanity” check), his response was that what he provided to us was the “perfect” answer.

What we came to realize was that it was the perfect answer – but to the wrong question. The question the academics and our researchers had been answering was “how do I create the optimal portfolio?” – meaning one that displayed the best risk-adjusted returns on that past data. In contrast, the correct question should have been, “How do I create the most “predictable” portfolio?” – one where future performance will most closely match past performance (either tested or actual). After all, if you have low confidence that the results will repeat, then they are not really useful results at all – even if they are “optimal.” His answer was perfect ONLY if future data, i.e. future market fluctuations, were similar to past data – which of course we know is not going to be the case.

Surprisingly, there is very little (almost no) research on methods for producing the most predictable performance. Instead, decades of research have been wasted on answering the wrong question. Nobel Prizes have been awarded for it. Not surprisingly, people (and academics are people) will devote their efforts to answering the questions for which they receive the greatest reward. And for academics, the Nobel Prize is often perceived as the ultimate reward.

Not so with Brandywine. Our interest is in producing the best possible returns for our clients and us. The realization 25 years ago that we and others were asking the wrong question led to a significant amount of new research that resulted in Brandywine’s “Predictive Diversification” portfolio allocation model.

This model has withstood the test of time. First with the performance of our Brandywine Benchmark Program in the 1990s and continuing today with the performance of Brandywine’s Symphony Program. This model is predicated on the belief that the future will NOT be identical to the past. By solving for predictability, rather than optimizing on past returns, the model is better able to handle the natural changes in market conditions that are detrimental to optimized portfolios. The combination of our Return Driver based investment approach and Predictive Diversification portfolio allocation model is the reason that our actual performance has so closely matched our past performance. In addition to that (and somewhat ironically), Brandywine’s actual performance is more “optimal” (in both absolute and risk-adjusted terms) than portfolios that were constructed with the specific intent of being “optimal.”

The focus on allocation models designed to produce the most optimal performance on past data has only served to distract investors and managers from the most critical aspect of investing – ensuring that future performance tracks past performance as closely as possible. As a result of this focus, investment performance results appear to be random. The top managers over one period fail to perform over subsequent periods. While we most certainly cannot guarantee performance results, we can at least make the statement that Brandywine’s Symphony Program was developed with the prime directive of achieving the most predictable performance possible.

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Today’s Alpha is Tomorrow’s Beta

Originally published in the Brandywine Asset Management Monthly Report.

In last month’s report we wrote (playfully questioning) the “discovery” of momentum, value and liquidity as being valid Return Drivers affecting equity prices. Although these Return Drivers had not only been discovered decades before they subsequently became revealed by academics in the early 1990s, they had also been exploited for just as long by investors as varied as Warren Buffett, Richard Donchian and John Henry (among many, many others). In other words, these weren’t “discoveries” at all. We also pointed out that as soon as the mutual fund companies and other financial marketers discovered the appetite the public had for placing money in the new hot thing, they spun out numerous “Smart Beta” funds, which is the clever marketing title that’s been given to funds focusing on single strategies based on these Return Drivers.

In the mistaken belief that investors earn a return by assuming risks not desired to be held by others (as pointed out below, this is only one of many sources of return), these selectively discovered Return Drivers have been anointed as “risk factors.” They have earned a place alongside the “equity risk premium” and other academic constructs as being so well known that they have now became “beta” (or at least “smart beta”) and not the treasured “alpha” that creates excess returns.

In reality, we would contend returns have never been produced by beta. The performance of every market is based on one or more Return Drivers that are the source of the performance. Every Return Driver has a time period over which it is relevant (1). Once those Return Drivers have been discovered and understood, trading strategies can be developed to exploit those Return Drivers and profit by trading in the relevant markets affected by those Return Drivers. Momentum, value and liquidity are just three of many other Return Drivers that affect equity prices. Furthermore, risk transfer is only one of many sources of potential return. Profits are not only earned by collecting a “risk premium,” but they can also be earned by taking the other side of misguided, ill-informed or emotional positions that have been entered into by others.

There is No Alpha or Beta—Only Return Drivers
The field of behavioral finance is beginning to shed light on the fact that market returns are not simply a function of risk transfer but also caused by the inept behavior of people who are truly attempting to profit – but are incapable of making the correct decisions to do so. This is often not solely their fault. In our view many people are oblivious to the process required to invest correctly. They are seriously misled by the glut of misinformation published in the popular financial press and the reactionary behavior of gurus and other talking heads. In addition, they are poorly served by the academic constructs such as risk premium (which is merely a grandiose label given to a simple observation of past market behavior), and the massive attention placed on “diversifying” across “asset classes” (This will be the topic of a future report). As a result the vast majority of people will employ a gambling mentality that assures that over time they will transfer their money to more disciplined investors.

In contrast, it is only through a sound understanding of the valid Return Drivers that affect each market that a repeatable process for positive investment returns can be developed.

Brandywine’s Return Drivers
Over our 30+ year history of research and trading, Brandywine has developed and time-tested (with real money) a sizable number of Return Drivers. Many of these remain valid and are employed today. Although we have disclosed some of these Return Drivers (2), it would be adverse to our investment edge to reveal them all. In the parlance of the investment industry, to do so, over time, would convert the “alpha” generated by those strategies today into “smart beta” and ultimately just “beta,” at some point in the future.

To do that would violate the trust we have with our investors to protect their best interests. But without revealing the specific trading strategies, we can disclose some actual trades generated by them.

Trade Examples

Lean Hogs
One strategy that provides a great illustration of the types of differentiating trades entered into by Brandywine’s Symphony Program is one based on U.S. livestock market fundamentals. It initiated a trade in the lean hog market near the lows reached in August 2013 and held that position until the market peak in April 2014. Brandywine, despite employing a fully systematic trading model, often enters into trades such as this that appear to be more “discretionary” than “systematic.”

S&P 500
In Myth #3 of Mr. Dever’s book he presents examples of how people mis-time their trades by doing the opposite of what they should do (this is not a secret, Daniel Kahneman and Amos Tversky began research into such behavior in the 1970s). Brandywine incorporates a number of sentiment-based trading strategies to exploit this behavior across a wide range of markets. The trade below was based on one variation of a strategy disclosed by Mr. Dever in his book.

Balanced Diversification vs. Concentration. Discretionary vs. Systematic.
One key take-away from these trades, which is just a small sample of the many trades entered into by Brandywine in any given month, is that Brandywine is agnostic to the source of our returns. We don’t care whether they come from long positions in stock indexes or lean hogs, short positions in the Australian dollar, or a spread position in soybeans. As long as they are based on a sound, logical Return Driver, Brandywine will exploit these opportunities. Because of this, Brandywine’s trades often appear to be “discretionary” (based on an individual processing the data and deciding on a trade). In fact, however, while Brandywine employs significant discretion in the creation and development of its trading strategies, the application of those strategies in our actual trading is completely systematic.

The reason Brandywine employs a diversity of seemingly discretionary trading strategies in a fully systematic trading program is due to the result of extensive research Brandywine conducted beginning in the late 1980s. That research made clear that the most consistent and predictable returns are earned by systematically employing broad strategy and market diversification across a balanced portfolio of fundamental, Return Driver-based trading strategies. The key is to maintain balance across those Return Drivers and markets so that, over time, no single Return Driver or market will dominate performance.

As always, please reach out to us with any questions you may have.

(1) Exploiting the Myths: Profiting from Wall Street’s misguided beliefs (which became a Kindle best-seller under the popular title Jackass Investing: Don’t do it. Profit from it.); in the “takeaways” for Myth #1 on page 17.

(2) One strategy revealed in its entirety was designed to exploit people’s tendency to do the opposite of what they should do, as described in Myth #3 of Mr. Dever’s book. That strategy has contributed positively to Brandywine’s performance since it was introduced into the portfolio following its release to the public. A trade example in the S&P 500 from a variant of this strategy is displayed on the prior page.

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The Fallacy of Fama-French

Originally published in the Brandywine Asset Management Monthly Report.

In 1992 Eugene Fama and Kenneth French published a paper titled “The Cross-Section of Expected Stock Returns.” In that paper they introduced what has since become known as the “Fama-French three-factor model.” What they showed was that stock prices were driven not solely by a mystical “risk premium,” but that, in addition to beta, there were other factors that explained the movement of stock prices. In particular, the additional two “factors” they identified in their paper were that small capitalization and high value stocks outperformed other stocks. Over the years other academics expanded on the three-factor model by discovering that factors such as momentum and liquidity also affected equity prices.

The most shocking part of these discoveries was that they were considered “discoveries” at all. People have been using momentum to profitably trade markets for decades. Brandywine is aware of this first-hand. In the early 1980s Brandywine’s founder, Michael Dever, set up a fund to be traded by Richard Donchian, who first used momentum strategies in a fund he launched in 1949. (Mr. Donchian became known as the “father of trend following.”) And of course everyone knows about value investing, not the least because of Warren Buffett’s success in following the concepts first presented in 1934 by Benjamin Graham and David Dodd in their book Security Analysis.

In 1991, a year prior to the publication of the Fama-French three-factor model, Brandywine launched our Brandywine Benchmark program, which incorporated more than two-dozen return drivers (a return driver is the underlying condition that drives the price of a market, similar to a “factor”). These included some of the return drivers later discovered by academics, such as momentum and value. But rather than publish a paper and consider that to be the epitome of our research, Brandywine understood these were just two out of potentially hundreds of return drivers that could be exploited to profit from market movements. So Brandywine didn’t stop there. We not only developed numerous trading strategies based on additional distinct return drivers, but we also applied them to a diverse range of relevant global financial and commodity markets, not just stocks. As described in previous monthly reports, this approach has multiple benefits, including returns that are unrelated to those provided by “conventional” investments such as stocks and bonds (i), lower event risk (ii), and a greater likelihood that future returns will approximate past returns (iii).

Unfortunately for individual investors, however, the mutual fund industry has seized on the academic research, using it to provide cover for the creation of numerous mutual funds designed to capture specific factors. You can now put money into “smart beta” funds that pick stocks by value, size, momentum, liquidity, dividend history, earnings surprises, insider activity, sales growth, and a myriad of other specific factors. In an industry focused on selling the most recent “hot” fund, this serves the mutual fund companies well. But pumping out trivial “discoveries” in the form of alternative mutual funds and ETFs is a major disservice to investors.

Return Drivers & Performance Predictability
If there is one major takeaway from Brandywine’s research and trading over the past 35 years, it is that no single return driver (factor) such as these will provide either consistent or predictable returns. We don’t know of any legitimate trading strategy that will not have extended periods of significant drawdowns (relative to its prospective return). We realize people show performance of specific approaches that appear to be consistent and predictable, but at some point they will suffer multi-year losing spells. We also realize that people have back-tests of trading strategies that show consistent performance, but we can also assure you that they manufactured those results by sacrificing the future predictability of returns for that trading strategy.

But don’t confuse that with us saying that those return drivers are not worthy of serving as the basis for trading strategies. It just means that those return drivers should not be utilized on a stand-alone basis. Unfortunately, the investment industry does just that. It promotes the latest academic research as the “Holy Grail” of investing and people flood it with money.

We see the same focus on specific return drivers among institutional investors and their consultants. Recently for example, a large pension plan issued a mandate specifically for trend following CTAs. We agree that trend following is a valid return driver, but we take issue with the thinking behind the mandate. Their consultant had read research that showed the tail risk mitigation of having trend following CTAs in a portfolio. But that is a very simplistic conclusion. Trend following is just one return driver. There are many other return drivers that can provide that same benefit. And by combining trading strategies based on those other return drivers into a more diversified portfolio, they would get even better tail risk protection but with substantially greater predictability of performance.

We also see many institutional investors or funds-of-funds that are fixated on finding “specialist” managers that are uncorrelated with the core managers in their funds. The problem with this approach is that the past performance of a specialist manager has almost no predictive ability. Again, it doesn’t mean the return driver being captured by the specialist manager isn’t valid. It just means that it is not predictable.

Predictability is everything. There is no benefit in a great past performance record if it is not representative of future performance. In recognition of this, prior to the launch of the Brandywine Benchmark program in 1991, Brandywine conducted an extensive research project that focused on discovering the characteristics of a portfolio that contributed to producing predictable performance. This was a significantly different approach from that taken by virtually all other researchers then and now, who focus on developing portfolio allocation models that produce “optimal” performance. This research resulted in Brandywine’s “Predictive Diversification” portfolio allocation model. We came to realize during our research that to produce the most predictable returns, a portfolio must be balanced across a wide range of unrelated return drivers and markets.

Brandywine’s Symphony & Predictive Diversification
Brandywine expanded on this philosophy with the launch of Brandywine’s Symphony Program in 2011. Not only does Brandywine’s Symphony Program exploit many of the same return drivers first developed into trading strategies and incorporated into the Brandywine Benchmark program more than two decades ago, but it also takes advantage of more recent research to add trading strategies that were unavailable at that time. Mr. Dever discusses one of these strategies in chapter three of his best-seller and specifically in the Action Section for that chapter (pages 19-26) on the book’s web site.

Despite the continued proven success of Brandywine’s approach, we see little evidence in a stampede of like-minded followers committed to providing investment programs that are broadly diversified across both return drivers and markets. In fact, as described above, the opposite is occurring. Interest in specialist mutual funds and managers appears to be increasing.

While we at Brandywine are often frustrated with the archaic state of the investment industry and what passes for “research,” we are most concerned with the disservice it provides to individuals who are looking for answers on how to invest their money. That said, we also recognize that it is precisely this archaic state that provides us with our “edge.” To the extent that other managers dismiss return drivers, ignore opportunities in markets that are not featured regularly in the popular press or financial TV shows and instead focus on the “usual” suspects (stocks, bonds, gold), pursue specialty strategies to the exclusion of others that can improve the consistency and predictability of their returns, don’t understand the significance of predictive diversification, or are simply unable to devote the thought cycles to understanding and researching an approach that is so different from the conventional investment industry, we will benefit.

(i) Unrelated Returns:
Versus CTAs: http://www.brandywine.com/pdf/monthly/BAM201206.pdf
Versus Stocks: http://www.brandywine.com/pdf/monthly/BAM201303.pdf

(ii) Lower Event Risk:
http://www.brandywine.com/pdf/monthly/BAM201302.pdf

(iii) Predictability:
Diversification Leads to Predictability: http://www.brandywine.com/pdf/monthly/BAM201208.pdf
Fatal Flaw in Mean-Variance Optimization: http://www.brandywine.com/pdf/monthly/BAM201305.pdf
Predictive Diversification: http://www.brandywine.com/pdf/monthly/BAM201311.pdf

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Q & A with Brandywine

Originally published in the Brandywine Asset Management Monthly Report.

Over the past few decades Brandywine has built a reputation as being an innovator. While this has served us well from a performance-standpoint, it has often led to confusion when investors attempted to fit us into the investment manager categories they had created. For example, being systematic, as we are, often leads people to believe we must be a trend follower, which we are not. Or it leads to the assumption that we do not use fundamental information, which we do. Over the years we have accumulated our answers to some of the most common questions and compiled these into a rather extensive Q&A document. We thought we’d post some of those related to our trading and risk management philosophy in this month’s report:

Please provide your insight into the behavior of markets. What market inefficiencies do you attempt to capture and why are these inefficiencies exploitable?

Brandywine does not attempt to exploit any single market inefficiency. Each trading strategy is developed by Brandywine with the intent of capturing returns from a specific Return Driver. There are numerous biases in people’s behavior related to trading/investing/gambling, and Brandywine seeks to exploit those biases. (This philosophy led to Mr. Dever writing his book Exploiting the Myths: Profiting from Wall Street’s misguided beliefs (which became a best-seller under the popular title Jackass Investing).

These biases include the desire to “trade with the crowd,” anchoring biases, risk aversion, and numerous other behaviors and emotional responses that create inefficiencies that lead to the development of profitable trading strategies. These strategies provide excellent potential returns and diversification value in a ‘rationally-structured’ portfolio such as Brandywine’s. For example, in Myth #3 of Mr. Dever’s book, titled “You Can’t Time the Market,” Mr. Dever shows that precisely because the majority of people buy and sell U.S. equities at the wrong time, if you can measure this activity you can fade it for profit. In the Action Section for the book, he presents a specific trading strategy that does exactly this by measuring the money flows into and out of U.S. equity ETFs. Other trading strategies gain their edge by the fact that they are ‘hard’ to trade. For example, they may be subject to high volatility of returns. Many traders prefer strategies with low volatility and therefore ignore exploiting sound return drivers that result in positive and predictable returns over time if those returns are too volatile. These strategies provide excellent positive returns and diversification value in a portfolio such as Brandywine’s.

Are there any counterintuitive implications to risk management that you derived from your model?
 
Certainly, the determination in the late 1980s that mean-variance optimization of a portfolio was fatally flawed was the first major counter-intuitive outcome of our research, as that was the most highly-regarded and accepted portfolio allocation model of the time (and to a large extent remains so today).
 
Second, many potential investors we talked with at that time were convinced that each individual trading strategy within our model was required to be able to “stand on its own” with regards to its risk-adjusted returns. Brandywine determined that the only relevant question at the individual strategy level was if the strategy was based on a sound logical return driver likely to provide it with a positive return over time. This led us to develop and implement many trading strategies that were, and continue to be, unique to Brandywine.
 
Please elaborate on your risk management plan. Do you have specific limits on exposure to markets/sectors or is it possible that several different portfolio strategies may signal positions in the same market/sector?
 
Brandywine’s portfolio allocation model is designed to provide balance across each strategy and market traded in the portfolio. This is intended to ensure that, over time, each market makes an equal contribution to the portfolio’s risk.

Brandywine takes a very “top-down” approach to risk management and portfolio allocation. Our belief is that if a portfolio allocation model results in a significant overweight of a market or related (correlated) group of markets, that is a symptom of a flaw in that model. Mike Dever covered this topic specifically in his well-received presentation titled “The Fatal Flaw in Mean-Variance Optimization” at the QuantInvest conference in NYC in 2012. Many managers address the flaw in their portfolio allocation models by imposing market or sector constraints, essentially putting a band-aid on the wound created by an incorrect (damaging) portfolio allocation model. Brandywine’s goal when Mike Dever developed our portfolio allocation model in the late 1980s – early 1990s was to create a model that – first and foremost – produced future results that matched, as closely as possible, past results. As logical as that sounds, it was novel then and continues to remain novel today. Most managers base the success of their portfolio allocation / risk management models on how well they “optimize” returns on past data, not on how well future returns are likely to match those past returns. They start their research by asking the wrong question – (“How can I get the best results?”, rather than “How can I get the most predictable results?”). Many (most) managers make that initial critical mistake of optimization vs. predictability. We discussed our “Predictive Diversification” portfolio allocation model in our November 2013 monthly report.

In response to the specific question:
 
YES – several of the underlying trading strategies can pick the same contract or market, but
NO, by design the portfolio allocation model will not significantly overweight any market. However, because multiple trading strategies agree on a specific trade/position, there is a higher probability that will be a successful trade. Our portfolio allocation model then naturally allocates more to higher probability opportunities but within the construct that future performance will continue to match past performance. So in summary, we WANT to have heavier allocations to positions when multiple trading strategies are in agreement.

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The Value of Including Brandywine in Your Portfolio

Originally published in the Brandywine Asset Management Monthly Report.

The addition of Brandywine to a portfolio containing stocks or managed futures can both increase returns and decrease risk. This is clearly evident in the following two metrics.

First, performance: Since we launched Brandywine’s Symphony program in July 2011 it has gained +18.69% while both the BTOP 50 and Newedge managed futures indexes have fallen (-3.00% and -4.42%, respectively). Brandywine’s more aggressively managed Symphony Preferred gained +88.51%, outperforming the +49.33% earned by the S&P 500 total return index. Clearly, adding Brandywine to a portfolio that contains either managed futures or stocks would have increased returns.

Second, diversification value: Brandywine has made money when stocks or managed futures have lost. This, of course, is obvious when looking at Brandywine’s positive performance versus the losses in the managed futures indexes. But the same benefit is even more evident when comparing Brandywine to the S&P 500. For example, when the S&P 500 dropped -13.87% from July through September 2011, Brandywine’s Symphony Preferred gained +30.94%. So adding Brandywine to a portfolio that contains either managed futures or stocks would also have decreased drawdowns (risk).

Looking at our results, the diversification value of including Brandywine in an investment portfolio is obvious. This value has not gone unnoticed, as is evidenced by our growth in assets and interest from new investors. That said, some of the conventional metrics used by asset allocators not only disguise this value, but actually lead uninformed investors to reach the exact opposite conclusion.

The Abuse of Correlation (Part 2)

In our January 2013 report we discussed how correlation metrics are easily and often abused by investors. In this report, we’ll give a further example of why correlation statistics can be misleading at best, dangerous at worst, or even downright ridiculous.

Newedge publishes statistical reports on a number of investment managers, including Brandywine. One of the measures they provide is the correlation of monthly returns between Brandywine’s Symphony program and the Newedge CTA index. The correlation data is what you would expect from looking at Brandywine’s differentiating performance over the past few years. In both up and down months for the Newedge Index, Brandywine’s correlation to the index has been less than 0.1 (meaning there is no correlation of returns). However, despite Brandywine’s strong out-performance, (the result of our use of innovations such as Return Drivers and Predictive Diversification) and obvious portfolio diversification value, it is possible that some investors could exclude Brandywine from their portfolio because they consider us too correlated to the other investments they hold.

Let’s take a look at why.

The chart below shows the performance of Brandywine’s Symphony program compared with that of the Newedge managed futures index during February. Clearly, Brandywine’s consistent profits throughout the month and strongly positive return of +5.70% were highly dissimilar to the underperformance recorded by the Newedge index. This simple chart makes it clear that there’s no question that including Brandywine in the portfolio would have added significant value during the month.

But during February, Brandywine’s correlation of daily returns to the Newedge Index increased significantly, recording a value of +0.62 during the month. Sure, there were some days where the Newedge Index posted a gain and Brandywine did as well (who wouldn’t want that?). But of the nine days when the Newedge index fell, Brandywine gained in five of them. And Brandywine didn’t outperform by taking on more leverage; both Brandywine and the Newedge index posted an identical 42 basis point standard deviation of daily returns. This is exactly the kind of diversification value you want to see in a manager. Yet someone focused on the daily correlation metric would have concluded that Brandywine provided little diversification value – the correlation was too high. This is a clear example of where a reliance on correlation proves dangerous to an investor’s financial well-being.

Now let’s move from dangerous to ridiculous.

For most of the month of February, the Newedge index was showing a loss. Had the month ended that way, you would expect that the already low 0.09 correlation between Brandywine and Newedge during down months of the Newedge Index would have collapsed, or even gone negative. After all, Brandywine was up a sizable amount and the Newedge Index was showing a loss. But perversely, that’s just not so. In fact, had the month ended on February 20th, at which time the Newedge index showed a -0.5% loss and Brandywine’s Symphony program showed a +4.0% profit, the correlation of monthly returns during down months of the Newedge index would have increased from 0.09 to 0.24! Despite the stark contrast in our performances, an investor relying on the correlation metric would have concluded there was a decrease in the diversification value provided by Brandywine!

But it gets even more ridiculous. Had Brandywine performed the exact opposite on a daily basis as it had in February [had we lost -5.70% rather than gained +5.70%], our daily correlation would have measured -0.62. This would have made Brandywine more attractive to an investor focused on correlation than did our actual significant positive performance!

When it comes to correlation, sometimes it’s better to lose than to win.

The Need to Understand Return Drivers

This makes clear the serious shortcoming in using correlation to find managers that can add diversification value to a portfolio. The real problem is that correlation tells you nothing about the “true” diversification value inherent in a manager’s trading. True diversification value (as well as true risk, a topic for another report) can only be determined with an understanding of the Return Drivers powering the manager’s performance.

Because of this, Brandywine has been more open than most managers in revealing the sources of our returns. In fact, we have openly presented one of our actual trading strategies on the Web (and at the end of this narrative, we provide links to our past monthly reports* where we discussed some of our trading strategies and their primary Return Drivers). We realize that many managers, who may only have a single Return Driver underlying their trading strategies, are necessarily more opaque and unwilling to divulge their single secret. This is what forces investors to revert to using proxies such as correlation in place of understanding the actual Return Drivers. But because of the inability of correlation to provide any reasonably useful information, if the ability exists to understand the underlying Return Drivers, correlation should be discarded as a measure.

*Brandywine’s Monthly Reports where we discussed specific trading strategies: 2011-08, 2011-09, 2011-10, 2012-06, 2012-08, 2013-09

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The Stock Fixation

Originally published in the Brandywine Asset Management Monthly Report.

Last month, Mike Dever published an article titled “The Future Returns from Stocks and Bonds” that used simple math to establish a price level (and total return) for stocks and bonds at the end of this decade. It wasn’t the result of his research that we found the most interesting (but if you want to see why the S&P 500 is projected to be lower at the end of the decade than it was at year-end 2013, you can read the article here), it was the comments we received from readers of the article. There was one comment that epitomized the gambling mentality of the average “investor.” In referring to those pundits who have been incorrectly predicting a decline in stock prices ever since the financial crisis, he wrote: “Anybody that listened to them for the past five years is in a world of hurt.”

We’re not arguing those pundits weren’t wrong. Clearly, stocks rallied sharply throughout that period. But it shouldn’t have mattered significantly. Here’s how Mr. Dever’s response summed up the core investment philosophy underlying Brandywine’s trading:

“If a 12-year (as of five years ago) projection of what returns would be earned by passively putting money into the S&P 500 has a significant impact on the performance of a person’s portfolio – if it resulted in them being in a “world of hurt” if they were wrong – then they’re not an investor. They’re a gambler. They have far too much riding on one single decision.

The performance of the S&P 500 should have no greater impact on the performance of a person’s portfolio than that of the sugar market, or dollar, or Korean stocks or any number of the hundred plus other active global financial and commodity markets. There are legitimate Return Drivers that can be exploited to profit from trading in those markets as certainly as there are Return Drivers to be exploited to profit from trading in the S&P 500.”

The “world of hurt” comment points out the fixation people have on owning stocks as a major portion of their investment portfolio and it continues to amaze us as to how many people continue to bet their savings on a single Return Driver. As Mike Dever shows in the opening chapter of Exploiting the Myths (also released under the best-selling title Jackass Investing), in periods of less than 20 years, stock market prices are dominated by investor sentiment. It is gambling to bet a substantial portion of a portfolio on that single Return Driver.

From the standpoint of seeking the greatest returns while being exposed to the lowest risk of achieving those returns, any of the 100+ actively traded global financial and commodity markets should be just as important to investors as the U.S. stock market. Yet there is virtually no discussion among investors about Australian bonds, coffee prices, or sugar – while the stock market dominates the news. Why isn’t there a C(offee)NBC discussing freeze potential, new export markets, diseases affecting the coffee crop, etc.? For the reason that not enough people care. Because stocks dominate the financial news, people buy stocks. Because people buy stocks, the financial media panders to that exposure.

The result is a gambling mentality – where the price activity of a single market dominates a person’s wealth. The financial media and professionals promise safety and diversification, but deliver roulette. You are not constrained by this mentality. You don’t need to gamble on stock market event risk to earn stock market returns. In fact, by diversifying across Return Drivers you can target even higher returns while also reducing risk. This is the basis of true portfolio diversification. Its effectiveness is evidenced by the performance of Brandywine’s Symphony Preferred, which has not only outperformed stocks over the strong bull market of the past few years, but also gained in January when stocks fell globally.

Please feel free to contact Rob Proctor at rob@brandywine.com if you would like to learn more about Brandywine’s Return Driver based investment philosophy and our approach to true portfolio diversification.

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Future Returns from Stocks and Bonds

This is an update to the article I wrote in mid-2013 that projected the future returns to be earned from stocks and bonds through the remainder of this decade. The article was based on research I conducted in writing my best-selling book, Jackass Investing: Don’t do it. Profit from it [i] .

Unfortunately, for people intent on adhering to a conventional 60-40 portfolio, or gambling [ii] their returns on placing money primarily in stocks, future returns do not look promising. The projected returns are lower than most people anticipate for two primary reasons:

  • The stock market rally that has taken place over the past few years has dramatically increased the multiple that people are now paying for stocks and unless “this time is different” has the effect of reducing today’s future return potential, and
  • Current profit margins have expanded to a level that is well above their long-term average. Unless “this time is different” a return to a more normal level will serve as a drag on profits over the remainder of this decade.

But before we get into the basis for my projection, let’s take a look at the three primary return drivers that power stock market returns. I outline these in the first two chapters [iii] of my book:

  1. Corporate earnings growth
  2. Investor sentiment
  3. Dividends

Now I’ll show how each of these returns drivers is projected to contribute to the future returns from stocks.

Return contribution from corporate earnings growth

Since 1900, earnings growth for companies in the S&P 500 (and its predecessor indexes) has averaged 4.73% [iv] . Because we use a 10-year average of earnings (as described in the next section) to calculate the likely level of stocks at the end of the decade, the effect of dropping off the poor earnings during the financial crisis has the effect of increasing the real 10-year average earnings growth rate over the remainder of this decade to above this level. For example, if profit margins remain at today’s level, earnings will grow at 7.19% from year-end 2013 to year-end 2020.

Unfortunately for future returns however, today’s profit margins are a fair amount above the longer-term average. Depending on the time period measured and companies included in the measurement, a ‘normal’ profit margin is approximately 7% [v] , while today’s profit margin on the S&P 500 is in the range of 9.5% [vi] . There are a number of factors that have contributed to today’s higher profit margins, among them low interest rates, constrained payroll costs and capital expenditures, and increased profits (and lower taxes) derived from non-US business. And there are those who contend that these changes are structural and will persist. Perhaps. But to accept this is to believe that “this time is different.”

As a result, I believe that profit margins are likely to decline to the longer-term average of 7% by year-end 2020. As profit margins revert towards their long-term average, earnings growth will be subdued. To expect something different is betting against the odds. The result is that corporate profits on the S&P 500 are likely to grow at a 5.53% annual rate.

Return contribution from investor sentiment

In my book I show that investor sentiment is the dominant return driver for stocks during periods of less than 20 years. Perhaps surprisingly, today, less than five years after the dramatic losses suffered by the world’s stock markets during the financial crisis, investor sentiment is approaching historical highs. This is evident in a variety of indicators, such as investor surveys [vii] and stock fund inflows [viii] . But the measure we use, which confirms the optimism exhibited by these other measures, is the cyclically-adjusted price-earnings ratio (“CAPE”).

CAPE was popularized by Robert Shiller in his book Irrational Exuberance and compares the S&P 500’s current price to the 10-year average of earnings. This has the benefit of smoothing earnings to reduce the impact of interim events, such as the financial crisis. Over the past 114 years CAPE has averaged 16.45. As of year-end 2013, due to the strong stock market rally of the past few years, CAPE has inflated to 25.09.

Unless “this time is different,” to believe that CAPE will remain at a new “permanently high plateau [ix] ” is to bet against the odds. Over the remainder of this decade CAPE is more likely to revert to its long-term average. The result will be an annual drag on stock market appreciation of -5.85% [x] .

Return contribution from dividends

The dividend yield on the S&P 500 at year-end 2013 was approximately 1.91%. This represents a dividend payout ratio of 37%. This payout ratio is quite a bit lower than the 114 year average of 59%. If the payout ratio reverts to its long-term average, this will boost the dividend yield over the remainder of this decade. As a result of this, and assuming that dividends compound this effect while also increasing along with corporate profits, I project the annual return contribution from dividends, between 2013 and the end of 2020, will be +2.62%.

Calculating the S&P 500 total return

We’re now left with a calculation to determine the projected average annual return for the S&P total return index, between year-end 2013 and year-end 2020.

This is the sum of the contribution from each of the three return drivers:

This performance is dramatically lower than what conventional investment wisdom has led people to expect. Even if profit margins remain at today’s high levels, the total return from stocks will be, at 4.3%, only half of what people have come to expect. The math is rather straightforward. To expect a different result than what is shown here is to insist that “this time is different.”

Return contribution from bonds

For the past 32 years the Barclay Aggregate Bond Index averaged annualized returns of 8.46%. Unfortunately, the two primary return drivers that contributed to that performance, although more favorable since I wrote my original article, are both destined to provide much lower returns in the future. They are:

  1. The capital appreciation provided as the high interest rate of 13% that prevailed at the start of the period declined to 1.75% today, [xi] and
  2. The average yield of 5.79% (on the 5-year Treasury note, which approximates the yield on the Index) over the period.

With the Barclay Aggregate Bond Index now yielding just over 2%, the likely return from bonds over the remainder of this decade (based on the fact that historically, the yield on the Barclay Aggregate Bond Index is predictive of total returns over the following 5-10 years) should be similar to the current yield on the Barclay Aggregate Bond Index, which, as represented by the iShares ETF (AGG) is 2.32%. To believe otherwise would be to believe that “this time is different.”

Calculating the return on the 60-40 portfolio

In summary then, based on the above straightforward analysis, from year-end 2013 through year-end 2020 we can expect the following return from a conventional 60-40 portfolio:

This is obviously much lower than what people have come to expect from a conventionally-diversified portfolio. It is also likely insufficient to meet most people’s financial needs. This doesn’t mean stocks couldn’t go up 30% again in 2014. They could. But they could also drop 30%. In fact, the lower projected return does not mean lower volatility. History shows that during periods with similar CAPE levels as today, volatility has actually been higher than normal [xii] . So while we’re looking at low returns over the next seven years, we’re also looking at above average volatility of those low returns. Clearly, this is a sub-optimal environment in which to entrust your money to a 60-40 “poor-folio.”

But this is not a unique situation. Conventional investment wisdom has always encouraged gambling, rather than investing. Due to its reliance on just four return drivers, the conventional 60-40 portfolio has never provided true portfolio diversification and has always exposed people to unnecessary risks relative to the potential return (my definition of “Jackass Investing”). When those four return drivers underperform, as is indicated by the projections in this article, performance will suffer, but the risks remain. The dramatic losses in 2001 and 2008 should serve as a warning. They are not exceptions.

But there is a better way.

Increasing returns and reducing risk with Return Driver based investing

Portfolio diversification is the one true “free lunch” of investing, where you can achieve both greater returns and less risk. But “true” portfolio diversification can only be obtained by diversifying your portfolio across multiple return drivers [xiii] . I give examples of a truly diversified portfolio in the final chapter [xiv] of my book, and I am pleased to provide a complimentary link to that chapter here: Myth 20. While some people may prefer to gamble on a less-diversified 60-40 portfolio, as my book shows, in the longer-term, true portfolio diversification can lead to both increased returns and reduced risk. And especially today, the odds do not favor a 60-40 gambling approach.

____________________________________________________________________

[i] Learn more about the book at www.JackassInvesting.com .

[ii] I refer to holding heavy positions in stocks as “gambling” Because people that do so are taking unnecessary risks with their money (meaning they could earn the same returns with less risk if they properly diversified their portfolios). You can read the chapter on gambling vs. investing here: http://bit.ly/utWsNy

[iii] I have made available complimentary eBook versions of the Introduction and first two chapters of my best-seller at the following links: http://tinyurl.com/qxt8e2h and http://bit.ly/xW2xuS

[iv] Robert J. Shiller, Irrational Exuberance (Princeton: Princeton University Press, 2000, 2005 updated). Data provided from a spreadsheet available at http://www.irrationalexuberance.com/

[v] David Bianco, “Deutsche Bank Securities Inc. US Equity insights,” December 12, 2013, pg. 72.

[vi] S&P reports profit margins on the S&P 500 as of June 2013 at 9.5%. Available under “Additional info, then “Index Earnings” at http://us.spindices.com/indices/equity/sp-500

[vii] The Investors Intelligence survey of December 17, 2013 shows more than four times as many bulls as bears. This is one of the highest readings in the history of the indicator and is greater than the ratio at both the 2000 and 2007 market peaks. Historically, measures greater than three are indicative of market tops.

[viii] I present an actual trading strategy based on stock fund money flows in the “Action Section” for Jackass investing). You can read about the trading strategy starting on page 19 of the Action Section at: http://jackassinvesting.com/action/index.php.

[ix] This was the famous quote pronounced by the noted economist Irving Fisher immediately prior to the stock market crash of 1929, when he stated that the stock market had reached “a permanently high plateau.” His reputation never recovered from that gaffe.

[x] If CAPE today was equal to its long-term average the S&P500 would be at 1192, a 34.45% decline from the year-end 2013 price of 1818. This equates to an annualized decline of 5.85%.

[xi] This was the rate on the 5 year U.S. government bond. Five years is used as that is the approximate average duration of the Barclay Aggregate Bond Index.

[xii] Shiller calculates that the forward three year volatility of S&P 500 is 15.55% when CAPE>=25 and 12.77% when CAPE<25.

[xiii] I discuss returns drivers in the Introduction to my book, which you can read here: http://tinyurl.com/q3eu7qm

[xiv] I have made available a complimentary eBook version of the final chapter of my best-seller at the following link: http://bit.ly/vxDo6v

 

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Performance Comparison: Brandywine vs. Stocks and Managed Futures

Originally published in the Brandywine Asset Management Monthly Report.

Brandywine launched our Brandywine Symphony program in July 2011 with funding from an initial institutional investor. Since that time we have more than doubled our assets under management and outperformed both the S&P 500 (despite its exceptional performance over that period) and managed futures traders. Here’s how that was accomplished and why we are confident about our future performance opportunities.

Brandywine compared to stocks
Over the past 2 1/2 years (July 2011 through December 2013) the S&P 500 Total Return Index (which includes reinvested dividends) gained an impressive +47.91%. Over the same period, the Brandywine Symphony Preferred Fund outperformed stocks with a +56.54% cumulative return. What is most interesting about Brandywine’s outperformance is that it was achieved without taking on the high level of event risk that is accepted by people who buy stocks.

Event risk is present when an investment is powered by one or a few Return Drivers. As Mike Dever reveals in his best-seller, stock prices are dominated by just two primary Return Drivers. (Click here to read a complimentary copy of the chapter where this is disclosed). Because Brandywine’s portfolio is diversified across dozens of Return Drivers and more than 100 global financial and commodity markets, global stock markets only account for approximately 20% of Brandywine’s positions. If an event occurs that negatively affects stock prices, it’s impact would likely be much less for Brandywine than for those with greater stock exposure. Furthermore, if you do hold long stock positions, Brandywine provides an additional benefit: our performance is uncorrelated to that of the stock market. That is because Brandywine trades in stock markets representing more than 20 countries but also holds both long and short positions.

The best exhibition of this diversification value occurred in the third quarter of 2011. During that period the S&P 500 fell more than -13% while, in stark contrast, Brandywine’s Symphony Preferred Fund gained more than +30%.

We have heard from a lot of people who feel that the only way they can get the returns they need is to buy stocks. It’s no wonder. The popular financial press presents the investment option as one big gamble: should you buy stocks or hold bonds? But the choice is actually much simpler and intellectually pure. Should you gamble your money on just a few Return Drivers, or increase potential returns and reduce risk by diversifying your money across multiple Return Drivers?

The bottom line is that you’re NOT forced to decide between earning insufficient returns or gambling with stocks. As Mike Dever pointed out in his book, and as Brandywine has demonstrated with the subsequent performance of our Brandywine Symphony Preferred Fund, we have shown that you can:

  1. achieve returns that are better than putting your money into stocks, even during this recent stock bull market
  2. earn positive returns when stocks are losing, and
  3. produce those returns without the high level of event risk embedded in holding long stock positions.

Brandywine compared to managed futures
Much has been written over the past couple of years about the difficulty that managed futures traders have had making money. Blame has been placed on market interference caused by Quantitative Easing, lack of extended trends, industry capacity… the list goes on and on. We don’t buy any of it. Traders lose money (or at least don’t produce profits) simply because their trading strategy is out of sync with the markets they trade. We know that sounds simplistic, but over the past decade, and especially after the success of trend followers during the financial crisis, the vast majority of money into managed futures flowed to trend followers. But EVERY trend following strategy we have tested or traded has had extended periods of dramatic under-performance. The past five years should not have been unexpected.

Brandywine is not anti-trend following. 20% of our portfolio is traded pursuant to strategies designed to profit from market trends. But trend-following is only ONE RETURN DRIVER. There are dozens of other Return Drivers that can be exploited and well over 100 global financial and commodity markets that can be traded in a balanced, diversified portfolio. Since we started publishing these monthly reports in 2011, we have presented a number of the Return Drivers used by Brandywine. These include sentiment-based strategies using ETF money flows to trade stock and bond markets, cost of production based trading strategies to profit in commodity markets, and directional arbitrage strategies trading in the currency and interest rate markets.

Brandywine’s Symphony program has outperformed managed futures traders, with low volatility, precisely because of our use of multiple Return Drivers to obtain true, balanced portfolio diversification. We realize we have an advantage over many other futures traders in that our 30+ years of history has provided us with the time to research and develop hundreds of trading strategies based on a myriad of Return Drivers. It’s a compilation of research that cannot be built over night. But our biggest advantage is in our investment philosophy. Brandywine doesn’t limit ourselves to one style of trading (unless you consider Return Driver-based trading as a style). We simply employ any valid trading strategy (the vast majority of which are fundamentally-based) that can be systematized and incorporated into our diversified portfolio.

The result is that Brandywine’s Symphony program has been profitable every year since we started trading in 2011 and has produced a 12%+ cumulative return with just a 7% annualized standard deviation. Although this return is below our long-term target, it is well within our short-term expectations. In contrast, the BTOP 50 was down –2.0% over the same period and the Newedge CTA index fell –2.6%.

What to expect
There is no certainty in investing. There are only probabilities. Brandywine is confident that the probability of us hitting our targets for risk and return are maximized by our multi-strategy, Return Driver based approach. We began trading Brandywine’s Symphony program in July 2011 with expectations based on our past trading experience and research. We continue to perform within those expectations. While we cannot state with certainty that the future will continue on the same path, we are confident that our approach provides us with higher probabilities of achieving our performance targets than if we were to employ a less-diversified approach.

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The Benefit of “Predictive Diversification”

Originally published in the Brandywine Asset Management Monthly Report.

Throughout the summer our monthly reports focused on the “perfect” drawdown Brandywine incurred from April through July. We called it perfect because, as we described in those reports, it was right in line with what we expected based on our research and past trading. It was our confidence in our research methodology and the statistical validity of our past performance that led us to write in early July that “now may be an excellent time to invest with Brandywine.”

Another factor that prompted us to recommend new or additional investments was the increase in Brandywine’s market exposure at the end of July. Brandywine employs dozens of fundamentally-based trading strategies, each based on a unique return driver, to trade across more than 150 global financial and commodity markets. When market opportunities arise, an increasing number of those return drivers signal trading opportunities. As a result, our overall portfolio exposure across all strategies and markets is often highest during or immediately prior to our best-performing periods. This is exactly what occurred with Brandywine at the end of July.

During the drawdown (-7.55% over four months), Brandywine’s market exposure, as measured by our margin-to-equity ratio, averaged a below-average 7.81%. We pointed this out in our July report and then wrapped up the discussion by stating that on the last day of July our market exposure (measured by our margin-to-equity ratio) “increased to its highest level in more than four months” and that “this indicates that Brandywine’s Symphony Program is confident about near-term profit opportunities.” July 31 marked the low point in Brandywine’s performance for the year. Since then Brandywine’s Symphony Program has gained +7.10% and our aggressively-traded Brandywine Symphony Preferred Fund gained +30.45%. This rally was accompanied by an average margin-to-equity ratio of 9.59%.

Not every performance drawdown behaves as well as the one we experienced this past summer. And while the odds favored a performance rally at the end of July, there was of course still the possibility that the drawdown could have extended for a longer duration and greater magnitude. All we (Brandywine and our clients) can do is play the percentages, which indicated an approaching end to the drawdown.

Perhaps the best question to ask is, “Why was Brandywine so confident in the percentages?” The answer is due to our use of “Predictive Diversification.”

Predictive Diversification

Predictive Diversification was developed by Brandywine more than twenty years ago. We were systematizing our return driver based trading strategies and sought a process for allocating to each of them in our portfolio. At that time, and remaining to a large extent today, the conventional approach employed by portfolio managers to allocate across the constituents of their portfolios was to use some variation of “mean-variance” modeling such as modern portfolio theory. In this approach, which contributed to Harry Markowitz receiving the Nobel Prize in Economics in 1990, an “efficient frontier” is identified where various allocations result in the best returns for any given level of risk. Unfortunately, this model, although being academically elegant and quite precise, produces results that are simply wrong. Virtually everyone who uses this approach modifies either its inputs or its outputs (such as by using constraints) in order to avoid unrealistic results. They realize that the optimal results derived from the model are unlikely to persist in the future.

Brandywine addressed this issue in the same way we approach all research problems. By starting over. If the output of any of our research projects produces knowingly incorrect results, there is no adequate tweak that can fix it. The project must be redesigned from the start.

In applying this approach to the portfolio diversification problem, we came to realize that modern portfolio theory was the right answer to the wrong question. The question should not have been “How do I solve for the best risk-adjusted return of a portfolio?” The question should have been (and still is!), “How should I allocate within my portfolio in order to achieve the most predictable returns?” (After all, if future performance is knowingly unlikely to match the past, nothing else matters.) It was that question that led to the development of Brandywine’s Predictive Diversification portfolio allocation model. The use of Predictive Diversification, in combination with Brandywine’s return driver based trading strategies, results in portfolio allocations that are significantly different than those produced using conventional portfolio diversification models. But most importantly, Brandywine’s model results in a portfolio that gives us more confidence (than if we had employed conventional portfolio allocation methods) that past performance will carry into the future. After all, that is what we solved for.

If you’re interested in learning more about the unique research philosophy and methodologies that have contributed to Brandywine’s differentiating performance, please contact Rob Proctor or Mike Dever to set up a presentation.

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Brandywine’s Outperformance

Originally published in the Brandywine Asset Management Monthly Report.

When we began trading Brandywine’s Symphony program in July 2011, we were often asked how we compared to the ‘big names’ in the managed futures industry. While we were friendly and familiar with many of those managers – in fact, Brandywine was either the first or a very early investor in some of today’s largest managers – we didn’t necessarily know the exact nature of how their trading evolved, so we weren’t able to talk specifically about how our approach compared to theirs. But we did have some general knowledge of their trading approaches and so could make some general statements.

The most significant comment we made was that we were confident that our performance would exceed theirs over the next five or ten years. Not out of hubris, but based on some straightforward observations and experience. We didn’t make this statement in any way to malign the other managers, which we respected and continue to respect today. We just felt that we had some distinct advantages that would enable us to outperform. These include:

Size

When Brandywine re-entered the business of trading outside investor money in July 2011, we did so after receiving $10 million in funding from an initial institutional investor. While we have grown since that time, our asset level remains well below that of the largest firms in the business. This provides Brandywine with a size advantage that will persist for a number of years. The two primary benefits of our size are that 1) we are able to easily employ shorter-term trading strategies and 2) we can optimally allocate to less liquid markets that are essentially unavailable to the largest managers. For example, many of our sentiment-based strategies, which have been quite profitable over the past two years, are short-term in nature and difficult to execute by the largest managers. In addition, Brandywine has profited from moves in less-liquid markets, such as the livestock markets, to which the largest managers are unable to optimally allocate.

History

Brandywine’s founder began trading in 1979, and Brandywine was formed in 1982. We managed money for some of the largest managers and, as mentioned in the opening paragraph, were early investors in other leading CTAs. Those early experiences allowed us to explore, observe and execute a tremendous variety of trading approaches. This experience throughout the 1980s served as the basis for the research methodology and investment philosophy that led to the 100% systematic Brandywine Benchmark Program that we traded successfully throughout the 1990s. The consistent performance of the Brandywine Benchmark Program and the resultant increase in our assets under management into the hundreds of millions of dollars were what first led to our recognition as being one of the industry’s leading CTAs.

Research Base

Longevity by itself is not an edge. But during Brandywine’s 30+ years we have innovated and traded numerous unique trading strategies based on sound, logical return drivers. In fact, we pioneered the use of return drivers as being a required basis for a valid trading strategy. Equally important, Brandywine also innovated new portfolio allocation models, such as the “Predictive Diversification” model used by Brandywine over the past two decades. It is these innovations, proven over time with real money at risk, that have contributed to Brandywine’s differentiating performance since the launch of Brandywine’s Symphony Program in July 2011.

The Result

As a result of the investment flexibility provided by Brandywine’s size, our 30+ years of professional experience, and our innovative research, we have been able to fulfill our expectation that we would provide our investors with industry outperformance. This is evidenced in the following chart, which compares Brandywine’s performance to that of the CTAs with which we were most frequently compared when we launched Brandywine’s Symphony Program in July 2011.

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Brandywine’s Differentiating Performance

Originally published in the Brandywine Asset Management Monthly Report.

Since Brandywine’s Symphony Program began trading in July 2011, it has produced a total gain of +8.79%, while all major CTA indexes have recorded losses (for example, the BTOP 50 lost –4.67% during the period). This past month provides another great demonstration of how Brandywine can profit while other CTAs suffer losses.

The performance difference lies in Brandywine’s Return Driver based investment philosophy and our belief that the most consistent and predictable returns are earned by systematically employing broad strategy and market diversification across a balanced portfolio of fundamentally-based trading strategies. In support of this philosophy, Brandywine employs dozens of independent trading strategies, many of which were first employed by Brandywine more than two decades ago and which continue to be valid today.

A look at some of Brandywine’s trades over the past month provides a great illustration of how these time-tested trading strategies provide Brandywine with differentiating results.

Trade Example #1: Fundamentally-based trade in deferred lean hog market

This trading strategy is highly selective, trading no more than once each year, with more than 70% profitable trades. The original research in support of this strategy was developed in 1991 and the strategy remains valid today.

Trade Example #2: Interest rate directional arbitrage in New Zealand Dollar

This trading strategy utilizes interest rate differentials among currencies and within each currency’s yield curve to enter into longer-term positions. The Return Drivers underpinning this strategy are completely independent of trend following, and as you can see on the chart, this presents the opportunity for trades to be entered counter to prevailing trends. The current position was entered on June 27th and has contributed more than 30 basis points of profits to Brandywine’s performance.

Trade Example #3: Event-driven strategy signal in deferred Eurodollar market

Brandywine’s Event-driven trading strategies trace their roots back to the discretionary trading conducted by Brandywine’s founder in the 1980s. These strategies often take counter-trend positions following the release of government reports or other events. The strategy is selective, entering into approximately one trade per year per relevant market. When the current trade was entered in early September, the Eurodollar market was in a prolonged downtrend. Brandywine’s new long position was counter to that held by trend followers and while already profitable, further benefitted from a strong rally on September 18th following the decision of the U.S. Federal Reserve to delay the start of “tapering.”

With dozens of independent trading strategies trading across well over 100 markets, Brandywine employs more than 1,000 strategy-market combinations similar to those illustrated above. Each of those strategy-market combinations is based on a sound, logical Return Driver with a positive performance expectation that has withstood the test of time. The result is a fundamentally-based investment approach that is balanced across numerous positions and Return Drivers and that is not dependent on any single style of trading or market condition to achieve profits. This is in keeping with Brandywine’s belief that the most consistent and predictable returns are earned by systematically employing broad strategy and market diversification across a balanced portfolio of fundamentally-based trading strategies.

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