Transamerica Financial Life Fund Manager Performance Evaluation
| IAAEX Fund | USD 10.31 -0.03 -0.29% |
Risk-Adjusted Performance
Weak
Weak | Strong |
During the last 90 trading days, Transamerica Financial Life produced negative risk-adjusted performance, which signals weak return efficiency for fund investors. This reading is usually reviewed beside volatility, downside risk, and benchmark-relative behavior before conviction is increased. Transamerica Financial is delivering weak return efficiency relative to its risk profile. Current price dislocation suggests continued short-term downside pressure for investors. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 1,042 in Transamerica Financial Life on January 24, 2026 and sold it today you would have lost $ 11.00 from holding Transamerica Financial Life or given up 1.06% of portfolio value over 90 days. Transamerica Financial Life is currently producing negative expected returns and carries 0.8471% volatility of returns over 90 trading days. Stated differently, Transamerica is more volatile than roughly 93% of traded mutual funds, and the fund 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
Mean reversion in Transamerica Mutual Fund pricing reflects the documented tendency for funds to gravitate toward equilibrium. While this pattern holds broadly, certain funds can remain mispriced for extended periods before correction.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 10.31 | 90 days | 10.31 | about 38.35 |
Using a normal distribution model, the likelihood of Transamerica Financial moving above the current price in 90 days from now is about 38.35 . Past return patterns over this horizon reflect a distribution that has favored above-current-price scenarios. (The curve shows where outcomes have been clustering for Transamerica Mutual Fund over the next 90 days). The curve width gives a practical read on how much uncertainty surrounds Transamerica Mutual Fund over this horizon.
Transamerica Financial Price Density |
| Price |
Predictive Modules for Transamerica Financial
Forecasting Transamerica Financial requires combining quantitative signals with evolving sentiment and fundamental trends. Each approach has strengths and limitations, making diversified forecasting strategies especially important for Transamerica Financial.Mean reversion is the tendency of Transamerica Financial's price to return to its historical average after periods of extreme deviation. Some analysts monitor this tendency by comparing Transamerica Financial's price extremes to fundamental value.
Primary Risk Indicators
Over the past two decades, the mutual fund market has experienced significant volatility affecting Transamerica Financial. Transamerica Financial has seen dramatic price moves that have reshaped risk profiles for its holders.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.12 | |
σ | Overall volatility | 0.27 | |
Ir | Information ratio | 0.01 |
Investor Alerts and Insights
Targeted alerts for Transamerica Financial provide the responsiveness needed to monitor holdings and performance. These notifications for Transamerica Financial help investors make timely decisions in response to significant fund events.| Transamerica Financial generated a negative expected return over the last 90 days |
Transamerica Financial Fundamentals Growth
The market price of Transamerica Mutual Fund is shaped by investors' expectations for Transamerica Financial's financial performance. Revenue and earnings trends, operating margins, and capital structure decisions all play a role in Transamerica Mutual Fund pricing.
Performance Metrics & Calculation Methodology
Transamerica Financial risk-adjusted performance evaluates NAV returns relative to the variability experienced across reporting periods. Sharpe and Sortino ratios frame return efficiency relative to total and downside risk.
Transamerica Financial Life inputs come from fund disclosures and market reference feeds and are mapped into a consistent reporting framework. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Michael Smolkin, Member of Macroaxis Board of Directors