iMGP DBi Managed Futures Strategy ETF (DBMF)

A straightforward and efficient way to access the Managed Futures space

Created for investors to access the diversification benefits of a formally exclusive, often expensive, but compelling asset class. This Index-Plus, low cost and diversified solution delivers efficient exposure to the managed futures space.

What are managed futures?

An investment strategy that seeks trends across commodity, rates, currency, and equity markets.

Actively managed

Managed

Dynamic and tactical approach, not static

Hold highly liquid futures

Futures

Takes long and short positions using futures contracts

Based on quantitative models

Quant

Humans build models, models determine portfolios

Identifies major trends

Trends

Durable source of alpha based on prices, not macro calls

Listen to Andrew Beer (co-portfolio manager of DBMF) explain managed futures

What can managed futures do for your portfolio?

An incredibly valuable portfolio diversifier to stocks and bonds

The Case for Managed Futures

Explore how to build a durable strategy using managed futures.

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Questions on Managed futures Allocations

Get insights

The Great Diversifier: Managed Futures & DBMF Webinar Replay

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Business Insider | DBMF

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Frequently asked questions

Get answers to your questions from our portfolio managers

The strategy is an extremely effective diversification tool for traditional portfolios. It has no long-term structural correlation to stocks, bonds, or commodities (because it can be long or short any market based on prevailing price trends). Adding managed futures has historically reduced portfolio volatility without significantly reducing expected returns, producing a smoother ride. Additionally, the strategy has historically produced attractive absolute returns during extended periods of losses for traditional assets, also known as “crisis alpha.”

Almost every other managed futures fund is an active strategy based on the manager's models, primarily for capturing trends in different asset classes, usually using more than 50 or even 100 futures markets. Some managers may also include non-trend models (e.g. carry) to varying degrees. DBMF is based on replicating the (gross, pre-incentive fee) performance of the SG CTA Index, which is comprised of 20 of the leading managed futures hedge funds. DBMF’s model uses the daily returns of the index to create a portfolio highly correlated to the index, using only 10-15 of the most liquid futures contracts. By tracking 20 leading funds via the index, DBMF eliminates the “single manager risk” of being invested in only one fund that underperforms the index dramatically and/or over an extended period.

It is a passive strategy in the sense that it is model-based and attempts to replicate an index, but the “index” itself is comprised of 20 active managers. Also notable, the “index” includes the underlying fees of the active managers. DBMF seeks an “index-plus” outcome by extracting fees from the index it replicates.

Yes, the fund earns interest on the collateral portfolio (typically 3-month T-bills), which is distributed quarterly. Capital gains are distributed annually.

Because managed futures bring strong diversification benefits to a portfolio, based on the statistics, you should hold about as much in managed futures as you can confidently defend when the strategy isn’t performing well. (Almost no one allocates as much as an optimizer would suggest, which is typically about 25-50% of a portfolio, depending on a number of factors.) Despite the significant long-term benefits, managed futures can sometimes be frustrating for extended stretches. Sizing an allocation appropriately is critical: the allocation should be big enough to move the needle in your portfolio when it’s working, otherwise the inevitable challenging periods along the way will hardly be worth it.

But the allocation can’t be so big that you (or your client) will throw in the towel during rough patches. The best asset allocation is one that you can stick to for the long term, including through down periods for every component asset class or strategy. Every situation is different, but we think an allocation to managed futures in the 5% to 10% range is the practical sweet spot for most balanced portfolio investors (although higher allocations are well supported by the statistics).

Because managed futures have essentially no long-term correlation to anything, it makes sense to fund them pro rata from an existing allocation. The existing allocation has presumably been “optimized” for the investor’s return goals and risk tolerance based on the performance and correlation characteristics of its underlying components. Funding pro rata from these sources should preserve the expected return profile of the portfolio’s core, while adding the diversification benefits and (likely) crisis alpha of managed futures.

A reasonable case could also be made to fund an allocation more than pro rata from bonds, given stocks outperform bonds over long time horizons, and managed futures tend to perform well during extended stock market weakness (i.e., periods of weeks to months, not days to weeks). The “optimal” allocation depends on what is being optimized (risk-adjusted returns, expected maximum total return, etc.). For a client that is more concerned with risk from a specific asset class, or has some other consideration, the funding sources could of course be customized further according to individual circumstances.

Managed futures strategies are heavily (sometimes solely) based on trend following, a strategy that dates back hundreds of years, but is today executed by sophisticated managers with vast amounts of computing power to build and refine quantitative models.

While the details and execution are complex, the underlying premise is simple: across equity markets, bond markets, commodities and currencies, go long assets/markets that are rising in price, and go short assets/markets that are falling in price, using liquid futures contracts to gain exposure. There are numerous theories addressing why trend following works, including divergent economic fundamentals across countries and industries, supply-demand dynamics, market structure, and investor psychology.

Regardless of the “correct” explanation, over its history, trend following has produced positive returns with essentially zero long-term correlation to traditional asset classes, and has tended to perform best in extended bear markets for stocks and bonds.

DBMF is a simple, cost-effective way to add the benefits of managed futures to a portfolio without the risks of choosing a single manager whose style may be out of sync with markets in any given month, quarter, etc.

One of the lowest fees in the category

85 bps

DBMF expense ratio is at the bottom decile of peers

 

Source: iMGP, eVestment. Disclaimer goes here.

Aims to reduce risk of materially underperforming benchmark

89%

Confidence tracking to index

SG CTA index correlation to DBMF (NAV)

Source: iMGP, eVestment. Disclaimer goes here.

History of outperforming index

5 years

DBMF has delivered returns over category for 5 years

Annualised returns since DBMF inception

Source: iMGP, eVestment. Disclaimer goes here.

85 bps

Expense ratio

One of the lowest fees in the Morningstar U.S. systematic Trend category (in the bottom decile of peers - 22 out of 24 funds in the Morningstar U.S. systematic Trend category)

88%

Confidence tracking to index

Aims to reduce risk of materially underperforming benchmark

+3.0%

Excess return (annualized)

Delivered excess returns over its index for the last five years

Data as of June 2024

DBI's approach to managed futures

The iMGP DBi Managed Futures fund seeks to replicate the pre-fee performance of a representative basket of leading managed futures hedge funds.

Investment strategy

  • The iMGP DBi Managed Futures fund seeks to replicate the pre-fee performance of a representative basket of leading managed futures hedge funds.
  • Factor analysis is used to determine the current positions of the managed futures hedge funds.
  • The positions are then replicated using highly liquid futures contracts in equity, fixed income, currencies and commodities.
  • This approach is a smart and efficient way to gain exposure to managed futures, with the aim of outperforming the representative basket by 300-400 bps per annum, net of fees.

Through this strategy, the fund aims to mitigate three key investment risks:

Market Structure

Market Structure

Illiquidity, trade crowding, counterparty

Concentration

Concentration

Single Manager, Single fund, industry, geography

Human Biases

Human Biases

Selection bias, etc.

DBI's approach to managed futures

The iMGP DBi Managed Futures fund seeks to replicate the pre-fee performance of a representative basket of leading managed futures hedge funds.

Investment strategy

  • Sophisticated multi-factor model analyzes recent pre-fee and pre-trading cost performance of twenty leading Managed Futures hedge funds
  • The model determine core long and short factor weights today in key currency, rates, commodity and equity markets
  • Exposure built with approximately 15 positions in highly-liquid, exchange-traded futures contracts for efficient execution and maximum liquidity
  • Those factor weights typically seek to deliver up to 100% of pre-fee/pre-trading cost returns and most alpha generation over time
  • The portfolio is rebalanced weekly, consistent with the rate of change of the underlying portfolios
Top 5 holdings (as of December 31, 2023)
S&P 500 28.3%
SOFR -20.3%
2 Yr Treasury -20.4%
Emerging Markets -21.0%
JPY/USD -21.5%
Asset class exposure (as of December 31, 2023)
US Equities 28.3%
International Developed Equities 2.6%
Commodities -0.9%
Currencies -13.0%
Emerging Market Equities -21.0%
Fixed Income -58.9%

Source: Dynamic Beta investments, US Bank - Data as of December 31, 2023. Fund holdings and allocations are subject to change and are not recommendations to buy or sell any security. Current and future portfolio holdings are subject to risk.

DBI's approach to managed futures

The iMGP DBi Managed Futures fund seeks to replicate the pre-fee performance of a representative basket of leading managed futures hedge funds.

  1. Factor analysis is used to determine the current positions of the managed futures hedge funds.
  2. The positions are then replicated using highly liquid futures contracts in equity, fixed income, currencies and commodities.
  3. This approach is a smart and efficient way to gain exposure to managed futures, with the aim of outperforming the representative basket by 300-400 bps per annum, net of fees.

Fee reduction is the purest form of alpha

DBMF seeks to optimize net returns to investors by approximating the main exposures that drive performance, minimizing trading and implementation costs, and offering lower all-in fees.

Hedge Fund

Continent Net of fee returns  
Pre-fee returns Pre-fee return
Net of fee returns Net return to investors Management fees, incentive fees & trading costs

DBMF

Continent Net of fee returns  
Pre-fee returns Pre-fee return
Net of fee returns Net return to investors Management fees & trading costs

DBi's Strategies seek to outperform by delivering 80-100+% of pre-fee hedge fund returns with lower fees and expenses.

DBMF in four minutes

An investment strategy that seeks trends across commodity, rates, currency, and equity markets

 

 

See the latest materials from DBMF including factsheets, presentations, commentaries and more

 
DBMF Table