Amplify AI Powered Equity ETF (AIEQ.US)

Amplify AI Powered Equity ETF (AIEQ.US) has delivered solid annualized growth of 10.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $26,202, representing a total return of 162%. Over this period, AIEQ.US generated positive annual returns in 8 out of 10 calendar years (78%).

The best single calendar year for AIEQ.US was 2019, with a return of +31.2%. The worst year was 2022, when the asset declined 31.9%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.38 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

AIEQ.US's annualized volatility of 21.2% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in AIEQ.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 35.4% — a severe bear-market collapse. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 35% drawdown, for example, requires a 55% gain just to break even.

When evaluating AIEQ.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

The macroeconomic factor model attributes 70.5% of AIEQ.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, AIEQ.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their AIEQ.US allocation.

The second-largest macro driver is US Small-Cap Equities, contributing 37.0% of variance. 9.8% of AIEQ.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding AIEQ.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AIEQ.US alongside assets with low correlation to US Equity (broad market) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.