Multi Asset Growth Strategy Fund Manager Performance Evaluation
| RAZCX Fund | USD 11.45 -0.15 -1.29% |
The fund has a market beta of 0.0933, which conveys very low measured sensitivity to broad market movements. With a sub-1 beta, MULTI-ASSET GROWTH typically participates in market rallies at a reduced pace while often limiting downside exposure.
Risk-Adjusted Performance
Weak
Weak | Strong |
During the last 90 trading days, Multi Asset Growth Strategy produced negative risk-adjusted performance, which signals weak return efficiency for fund investors. The result matters because weak risk-adjusted return can persist even when isolated price moves briefly look constructive. Despite somewhat strong fundamental indicators, MULTI-ASSET GROWTH is not utilizing all of its potential. The current price disturbance may contribute to short-term losses for investors. Learn More
MULTI-ASSET |
Relative Risk vs. Return Landscape
If you had invested $ 1,156 in Multi Asset Growth Strategy on December 22, 2025 and sold it today you would have lost $ 11.00 from holding Multi Asset Growth Strategy or given up 0.95% of portfolio value over 90 days. Multi Asset Growth Strategy is currently producing negative expected returns and carries 0.4928% volatility of returns over 90 trading days. Put another way, 4% of traded mutual funds are less volatile than MULTI-ASSET, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
The concept of mean reversion, where MULTI-ASSET Mutual Fund price gravitates toward equilibrium, is fundamental to market analysis. This pattern is a cornerstone of many forecasting models, though periods of persistent mispricing occur. Investors demand compensation for the additional risk inherent in funds that remain mispriced longer. The concept of price convergence is essential context for any investor forecasting MULTI-ASSET Mutual Fund price direction.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 11.45 | 90 days | 11.45 | about 98.0 |
Statistical modeling indicates that the probability of MULTI-ASSET GROWTH moving above the current price in 90 days from now is about 98.0 . The model uses historical price data to estimate the range of likely outcomes for this fund. The estimate assumes relatively stable market conditions and may not account for tail risk events. The statistical approach provides context that complements fundamental and technical analysis. (This fund probability density function maps the likelihood of MULTI-ASSET Mutual Fund reaching different price levels over 90 days). Taller, narrower curves suggest lower volatility and more concentrated price expectations for MULTI-ASSET Mutual Fund. Review this distribution alongside MULTI-ASSET Mutual Fund's implied volatility for additional context. Review this distribution before making position sizing or risk management decisions around MULTI-ASSET Mutual Fund.
MULTI-ASSET GROWTH Price Density |
| Price |
Predictive Modules for MULTI-ASSET GROWTH
Accurately predicting the fund market is one of the most challenging tasks for investors analyzing Multi Asset Growth. No single approach dominates, but the practice of forecasting remains an essential element of the investment process. Investors benefit from applying a variety of techniques rather than relying on a single model for Multi Asset Growth. The practice of comparing forecasts for Multi Asset Growth builds analytical resilience regardless of which model proves most accurate.Experienced investors tracking MULTI-ASSET GROWTH's watch for mean reversion setups where price has deviated from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in MULTI-ASSET GROWTH. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in MULTI-ASSET GROWTH. The mean reversion signal is most useful when combined with fundamental confirmation for MULTI-ASSET GROWTH's.
Primary Risk Indicators
Volatility has been a defining feature of the mutual fund market in recent decades, and MULTI-ASSET GROWTH has reflected that pattern. Sudden corrections and sharp rallies have tested many portfolios that include MULTI-ASSET GROWTH. A risk management approach built around MULTI-ASSET GROWTH's volatility metrics can help investors manage downside exposure. Tracking MULTI-ASSET GROWTH's risk indicators over time reveals how the risk profile evolves across market cycles.α | Alpha over Dow Jones | -0.015 | |
β | Beta against Dow Jones | 0.09 | |
σ | Overall volatility | 0.19 | |
Ir | Information ratio | 0.15 |
Investor Alerts and Insights
For investors following MULTI-ASSET GROWTH, automated alerts provide early signals of meaningful shifts in fund dynamics. Multi Asset Growth notifications highlight material changes that could affect portfolio decisions and overall risk exposure. Investors can customize MULTI-ASSET GROWTH alert parameters to match their risk tolerance and investment horizon. Pairing alerts with independent analysis strengthens conviction in MULTI-ASSET GROWTH investment decisions.| Multi Asset Growth generated a negative expected return over the last 90 days | |
| The fund maintains about 20.0% of its assets in cash |
MULTI-ASSET GROWTH Fundamentals Growth
The pricing of MULTI-ASSET Mutual Fund is heavily influenced by MULTI-ASSET GROWTH's fundamental performance over time. Investors monitor revenue growth, profit margins, cash flow generation, and debt management as key indicators. The performance of MULTI-ASSET Mutual Fund is closely linked to MULTI-ASSET GROWTH's underlying financial metrics and growth rates. Profitability trends, cash flow generation, and capital structure remain the key fundamentals for MULTI-ASSET Mutual Fund.
| Total Asset | 844.43 M | |||
Performance Metrics & Calculation Methodology
MULTI-ASSET GROWTH performance is typically evaluated through NAV-based returns relative to category peers and stated objectives. Relative performance helps interpret behavior versus benchmarks or category peers.
For Multi Asset Growth Strategy, this section uses fund disclosures and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist. Return and risk statistics are calculated from historical price series.