American Funds 2045 Fund Manager Performance Evaluation
| AAHTX Fund | USD 25.71 0.14 0.55% |
Risk-Adjusted Performance
0High
5 · Contained
Over the last 90 days, American Funds 2045 ranks in the bottom 95% of funds and fund portfolios on a risk-adjusted return basis. A lower ranking does not preclude recovery, but it does signal that recent efficiency has lagged peers. AMERICAN FUNDS is delivering weak return efficiency relative to its risk profile, with recent data suggesting continued pressure on shareholder returns. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 2,474 in American Funds 2045 on February 8, 2026 and sold it today, you would have earned $ 97.00 , a return of 3.92% over 90 days. American Funds 2045 is currently producing a 0.0643% return and carries 0.9209% volatility of returns over 90 trading days. Stated differently, AMERICAN FUNDS is more volatile than roughly 92% of traded mutual funds, and AAHTX is outperformed by 99% of traded instruments in expected return over the next 90 trading days. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
Investors often compare AMERICAN FUNDS Mutual Fund current price behavior against historical ranges when evaluating valuation context. Persistent pricing dislocations are not unusual in volatile or thinly traded segments of the market. This is particularly relevant for funds exposed to concentrated sector, regional, or thematic risk.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 25.71 | 90 days | 25.71 | nearly 4.29 % |
According to our probability model, the chance of AMERICAN FUNDS moving above the current price in 90 days from now is nearly 4.29 %. Based on past return behavior, the distribution of outcomes has been weighted above current levels over this period. (This distribution highlights the price region that has carried the highest probability weight for AMERICAN FUNDS Mutual Fund over a 90-day horizon).
AMERICAN FUNDS Price Density |
| Price |
Predictive Modules for AMERICAN FUNDS
Forecasting American Funds 2045 involves applying various models to estimate future fund price behavior. Despite uncertainty, systematic forecasting provides investors with structured context for evaluating American Funds 2045. Comparing results across methods can improve accuracy, even in unpredictable fund markets.The concept of mean reversion suggests that AMERICAN FUNDS's price will eventually return toward its long-run average. Positions sized too aggressively against the trend often suffer sustained losses before reversion occurs in AMERICAN FUNDS. The mean reversion framework for AMERICAN FUNDS is built on the premise that markets are not perfectly efficient.
Primary Risk Indicators
Market volatility over the last 10-20 years has created both risk and opportunity across mutual fund markets including AMERICAN FUNDS. The pattern of corrections and recoveries in AMERICAN FUNDS mirrors the broader mutual fund market experience. Implementing a hedging strategy and tracking AMERICAN FUNDS's volatility limits the impact of adverse moves.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | 0.90 | |
σ | Overall volatility | 0.78 | |
Ir | Information ratio | 0.08 |
AMERICAN FUNDS Fundamentals Growth
Investors assess AMERICAN FUNDS Mutual Fund by examining AMERICAN FUNDS's underlying financial health and growth trajectory. Core fundamentals including revenue growth, earnings quality, and debt management directly influence AMERICAN FUNDS Mutual Fund. These fundamentals can have a significant impact on AMERICAN FUNDS Mutual Fund performance across market cycles.
Performance Metrics & Calculation Methodology
Drawdown depth and recovery speed for AMERICAN FUNDS frame how NAV responds under adverse market conditions. Comparing drawdown severity across periods reveals whether risk characteristics are stable or shifting.
American Funds 2045 data is compiled from fund disclosures and market reference feeds and standardized for comparability. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board