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.  

One of the lowest fees in the category

85 bps

DBMF expense ratio is at the bottom decile of peers

Net expense ratios in the Morningstar Systematic Trend category

Source: Morningstar, eVestment, DBi. Cumulative past performance is not a reliable indicator of future results. As of 31 December 2024, net of fees, since inception (5/7/19). This is an active ETF which is not managed in relation to any benchmark. This data is being shown for illustrative purposes only. The index is not representative of the entire population of CTAs or hedge funds. The index's performance may not be indicative of any individual CTAs or hedge funds. The index may not have been adjusted for fees/commissions. The index cannot be traded by individual investors. The actual rates of return experienced by investors may be significantly different and more volatile than those of the index. Past results are not indicative of future results.

Aims to reduce risk of materially underperforming benchmark

89%

Confidence tracking to index

SG CTA index correlation to DBMF (NAV)

Source: Morningstar, eVestment, DBi. Cumulative past performance is not a reliable indicator of future results. As of 31 December 2024, net of fees, since (4/01/22). This is an active ETF which is not managed in relation to any benchmark. This data is being shown for illustrative purposes only. The index is not representative of the entire population of CTAs or hedge funds. The index's performance may not be indicative of any individual CTAs or hedge funds. The index may not have been adjusted for fees/commissions. The index cannot be traded by individual investors. The actual rates of return experienced by investors may be significantly different and more volatile than those of the index. Past results are not indicative of future results. Investment correlation measures how different assets move in relation to each other. A perfect correlation of +1 means both asset prices move in the same direction (go up together, and go down together). A correlation of -1 indicates they move in opposite directions.

History of outperforming index

+3.34%

DBMF has delivered returns over category for 5 years

Annualised returns since DBMF inception

Source: Morningstar, eVestment, DBi. Cumulative past performance is not a reliable indicator of future results. As of 31 December 2024, net of fees, since inception (5/7/19). This is an active ETF which is not managed in relation to any benchmark. This data is being shown for illustrative purposes only. The index is not representative of the entire population of CTAs or hedge funds. The index's performance may not be indicative of any individual CTAs or hedge funds. The index may not have been adjusted for fees/commissions. The index cannot be traded by individual investors. The actual rates of return experienced by investors may be significantly different and more volatile than those of the index. Past results are not indicative of future results.

Managed futures & DBMF: The essential alternative asset class


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.

Presentation Fact Sheet Prospectus Monthly Update Commentary

Founded in 2012 in New York (NY, USA) and with a track record since 2007, the firm manages liquid alternative strategies through liquid futures and ETFs.

About DBi

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

View DBMF Fund

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About iMGP
AVERAGE ANNUAL TOTAL RETURN

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Performance data quoted represents past performance. Past performance does not guarantee future results. The investment return and principal value of an investment will fluctuate so that an investor’s shares, when redeemed, may be worth more or less than their original cost. Current performance of the fund may be lower or higher than the performance quoted. Performance data current to the most recent month end may be obtained by calling 888-898-1041.

Short term performance, in particular, is not a good indication of the fund’s future performance, and an investment should not be made based solely on returns.

All of the assets and liabilities of the Predecessor Fund were transferred to the Fund in a reorganization on 09/20/2021.

Shares of any ETF are bought and sold at market price (not NAV), may trade at a discount or premium to NAV and are not individually redeemed from the Fund. Brokerage commissions will reduce returns.

SG CTA Index:
The SG CTA Index is an index published by Société Générale that is designed to reflect the performance of a pool of Commodity Trading Advisor (CTAs) selected from larger managers that employ systematic managed futures strategies. The index is reconstituted annually.

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.

Download
Questions on Managed Futures Allocations

Explore key considerations when allocating to managed futures.

Get Insights
The Great Diversifier
Webinar Replay

Watch the webinar on managed futures and the DBMF strategy.

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Why Managed Futures Are Ripe for Replication

Read about the replication strategy and its market relevance.

Read

iMGP DBi Managed Futures Strategy ETF Update with Andrew Beer | February 2025

Watch here

Explore Our Key Resources

Download essential reports and updates to stay informed.

Presentation

Comprehensive insights into the iMGP DBi Managed Futures Strategy ETF.

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Fact Sheet

A detailed overview of fund performance, holdings, and key metrics.

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Prospectus

Read the official prospectus detailing fund objectives and strategies.

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Monthly Update

Stay up-to-date with the latest fund performance insights and news.

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Commentary

Expert insights and analysis on managed futures investment trends.

Download

Explore Our Latest Insights

Interviews, commentary, and thought leadership from our experts.

Podcast
Honey, I Shrunk the Trend-Following

Podcast featuring Andrew Beer on trend-following strategies.


Listen
December 2024 Update
December 2024 Update

ETF strategy update with Andrew Beer.


Watch
November 2024 Update
November 2024 Update

Monthly update with performance and insights.


Watch
Fourth Quarter 2024 Commentary
Our Fourth Quarter 2024 Update

Our iMGP DBi Managed Futures Strategy ETF quarterly update with performance and insights.


Watch
The New Kings of Wall Street
The New Kings of Wall Street featuring Andrew Beer

"The Compound and Friends," Jan van Eck and Andrew Beer discuss the bond market and related financial topics


Watch
Update Year-End 2024
Year-End 2023

iMGP DBi Managed Futures Strategy ETF Update with Andrew Beer


Watch
Update Nov 2023
Update November 2023

iMGP DBi Managed Futures Strategy ETF Update with Andrew Beer


Watch

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.

Book a meeting with the iMGP team to explore the potential of DBi Managed Futures!