Forward Guidance
Forward Guidance

Andrew Beer: Hedge Funds Charge Way, Way Too Much

Andrew Beer, managing member of DBI, joins Forward Guidance to discuss the need for drastic fee reduction in hedge-fund like return vehicles. Beer and Farley explore in depth the mysteries of trend following (also known as CTAs or managed futures) strategies, which provide investors with positive ca

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Blockworks HostAndrew Beer Guest

Topics Discussed

Episode Summary

Executive Summary: Andrew Beer argues DBI focuses on “dynamic beta” because hedge fund returns often come from shifting beta exposures, not mysterious alpha. He makes the case that managed futures/trend following offer a cheap, liquid, tax-efficient diversifier that can adapt when markets change fast, especially after the 2022 stocks-and-bonds selloff and higher-rate regime.

Main Topics: Why DBI focuses on beta, not alpha (Priority: 5/5): Beer explains that alpha and beta are interconnected; DBI seeks to identify the right beta exposures at the right time, especially where hedge funds are effectively making tactical allocation bets. Hedge fund replication and fee compression (Priority: 5/5): DBI aims to replicate hedge fund behavior in lower-cost wrappers like ETFs and mutual funds, arguing that many hedge fund strategies are straightforward enough to imitate more cheaply and transparently. Managed futures / trend following as a diversifier (Priority: 5/5): Beer positions managed futures as a third leg for portfolios because it has historically had low correlation to stocks and bonds and can perform well when markets trend or regimes shift abruptly. The problem with traditional asset management (Priority: 4/5): He criticizes slow-moving wealth management models, sticky strategic allocations, and advisors who cannot easily change their minds when inflation, rates, or correlations shift. Why hedge funds underperformed and where they still help (Priority: 4/5): Beer says hedge funds are often hurt by high fees, leverage, and institutional drift, but certain dynamic strategies can still add value because they can change exposure faster than traditional allocators. Critique of hot-product marketing and backtests (Priority: 4/5): He warns against chasing hot products, overfitting backtests, and launching new quant strategies that sound elegant but fail in live markets; he favors simple, durable approaches. China as a potential contrarian opportunity (Priority: 3/5): In the closing discussion, Beer says China looks unloved and potentially attractive for patient contrarian investors, though the pain could continue and visibility is limited.

Key Arguments: Hedge fund performance often comes from shifting beta exposures rather than mystical stock-picking alpha. Many hedge fund strategies can be replicated more cheaply in ETFs or mutual funds without giving up much return. The key edge of hedge funds is flexibility: they can change their minds when regimes change, unlike most advisors and institutions. Managed futures have historically been useful because they tend to do best when markets are in crisis or changing rapidly. Stocks and bonds are no longer reliably offsetting each other, so traditional 60/40-style portfolios may need a third diversifying sleeve. Hedge fund fees, leverage, and lockups materially reduce investor outcomes and can create a false impression of skill. The industry often sells yesterday’s winner as tomorrow’s solution, which leads to poor timing and disappointing money-weighted returns. Backtests and academic factor models are often fragile because markets evolve and “permanent truths” change definitions over time.

Data Points: DBI ETF performance (2022): up 23% - Beer says the firm’s ETF rose 23% last year because the underlying managers correctly positioned for inflation and rising rates. Underlying managers’ gross return (illustrative): up 20% - Beer contrasts the gross return of underlying managers with DBI’s net result after lower fees. Illustrative pre-fee return: 26% - Beer says the managers’ 20% return was “really up 26%” before fees, implying DBI benefited from lower costs. DBI ETF expense ratio: 85 basis points - Beer cites the ETF’s low fee versus traditional hedge fund pricing. Estimated strategy alpha vs S&P 500 since launch: 900 basis points - Beer says the managed futures ETF has delivered roughly 900 bps of alpha relative to the S&P 500 since launch in 2019. ETF market share: 0.01% of the ETF world - He says the strategy remains tiny in ETF terms despite being large in potential hedge-fund-equivalent economics. Potential hedge fund size equivalent: $50 billion - Beer suggests the strategy, if packaged as a hedge fund, could plausibly be a $50B product. Typical hedge fund fee drag: 600 basis points - He references a case where investors paid about 600 bps in fees, reducing net returns materially. Typical hedge fund carry structure: 2% management fee + 20% performance fee - Beer references the standard “two and twenty” style of compensation as part of the fee burden. Long-term returns of managed futures vs assets: between stocks and bonds - Beer characterizes managed futures as typically lower than equities but better than bonds over long periods. Correlation profile: no correlation to stocks and bonds - He repeatedly cites the diversification value of managed futures due to low or near-zero correlation. Stocks in 2010s: S&P 500 up 13% annually; NASDAQ up 425% cumulatively - Beer uses the strong 2010s to show why static valuation or style bets got punished. European equities in 2010s: up 80% cumulatively - Used to illustrate long-term regional divergence and market regime changes. Emerging markets in 2010s: up 50% cumulatively - Beer contrasts EM performance with U.S. equities to show how long trends can persist. Cash in the 2010s: close to zero / around 1% - Beer says artificially low rates made many portfolios and strategies look better than they were. Rate level referenced in current regime: 5.5% - Beer notes floating-rate and leverage-sensitive strategies became more attractive/pressured depending on the direction of rates. Managed futures drawdown / volatility example: down 10% in March - He references a sharp drawdown/whipsaw around the Silicon Valley Bank episode and bond rally.

Pivotal Quotes: "“You want to find the right betas at the right time and invest in them.”" — Andrew Beer: Explaining the core philosophy behind Dynamic Beta Investments. "“I will tell you that there’s not a single client in America who hugged their advisor after 20 years for raising their Sharpe ratio.”" — Andrew Beer: Arguing that clients care more about narrative and comfort than statistical optimization. "“The ideal diversifier is something you can put in your portfolio today, talk about it when you want to, and never talk about it the rest of the time.”" — Andrew Beer: Describing why managed futures are attractive for long-term portfolio construction.

Implications: Listeners should view hedge funds less as mysterious alpha machines and more as dynamic beta tools that can be cheaply replicated in some cases. For portfolios, managed futures may be a practical diversifier in a regime where stocks and bonds no longer reliably hedge each other.

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About Forward Guidance

The laws of macro investing are being re-written, and investors who fail to adapt to the rapidly changing monetary environment will struggle to keep pace. Felix Jauvin interviews the brightest minds in finance about which asset classes they think will thrive in the financial future that they envision. Follow Felix: https://twitter.com/fejau_inc Follow Forward Guidance: https://twitter.com/ForwardGuidance Subscribe on YouTube: https://www.youtube.com/@ForwardGuidanceBW Follow Blockworks: https...

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