We are excited to share the latest whitepaper—"Modern Portfolio Optimization"—written by Ron Piccinini, AdvisorShares Q Dynamic Growth Equity ETF's (QPX) portfolio strategist. This whitepaper explores how to move beyond traditional constraints to seek better risk-adjusted returns.
The Flaw in the "Normal" Model
Most traditional investment models are built on Gaussian (bell curve) distributions. These models assume that extreme market crashes are statistical impossibilities. In reality, financial markets exhibit "heavy tails"—meaning extreme events happen more frequently than the old math suggests.
The AdvisorShares Q Dynamic Growth ETF (QPX) addresses this gap by utilizing the whitepaper's underlying methodology in its strategy.
This research piece examines the quantitative engine behind the methodology, focusing on:
With market volatility becoming more common and traditional correlations shifting, a static 60/40 portfolio may no longer be enough. Investors need a framework that is both unconstrained and mathematically rigorous.
If you want to see this whitepaper's strategy in action, you can learn more about the AdvisorShares Q Dynamic Growth ETF (Ticker: QPX) on our fund page.
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— For Institutional Investor Use Only. Not for Public Distribution —
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Before investing you should carefully consider the Fund’s investment objectives, risks, charges and expenses. This and other information is in the prospectus and summary prospectus, a copy of which may be obtained by visiting the Fund’s website at www.AdvisorShares.com. Please read the prospectus carefully before you invest. Foreside Fund Services, LLC, distributor.
An investment in the Funds is subject to risk, including the possible loss of principal amount invested. The risks associated with each Fund include the risks associated with the underlying ETFs, which can result in higher volatility, and are detailed in each Fund’s prospectus and on each Fund’s webpage. AIL-903414-2026-03-18 x-20280331
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