Multi Asset Growth Strategy Fund Market Value
| RMATX Fund | USD 11.51 0.02 0.17% |
| Symbol | Multi-asset |
Multi-asset Growth 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Multi-asset Growth's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Multi-asset Growth.
| 07/09/2025 |
| 08/08/2025 |
If you would invest 0.00 in Multi-asset Growth on July 9, 2025 and sell it all today you would earn a total of 0.00 from holding Multi Asset Growth Strategy or generate 0.0% return on investment in Multi-asset Growth over 30 days. Multi-asset Growth is related to or competes with Sound Shore, Nasdaq 100, Midas Fund, T Rowe, Balanced Fund, Auer Growth, and Auxier Focus. The investment seeks to provide long term total return with lower volatility than equity markets More
Multi-asset Growth Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Multi-asset Growth's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Multi Asset Growth Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4403 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 1.72 | |||
| Value At Risk | (0.45) | |||
| Potential Upside | 0.7124 |
Multi-asset Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Multi-asset Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Multi-asset Growth's standard deviation. In reality, there are many statistical measures that can use Multi-asset Growth historical prices to predict the future Multi-asset Growth's volatility.| Risk Adjusted Performance | 0.1583 | |||
| Jensen Alpha | 0.0327 | |||
| Total Risk Alpha | 0.0176 | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.204 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Multi-asset Growth's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Multi Asset Growth Backtested Returns
At this stage we consider Multi-asset Mutual Fund to be very steady. Multi Asset Growth has Sharpe Ratio of 0.22, which conveys that the entity had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Multi-asset Growth, which you can use to evaluate the volatility of the fund. Please verify Multi-asset Growth's Risk Adjusted Performance of 0.1583, downside deviation of 0.4403, and Mean Deviation of 0.295 to check out if the risk estimate we provide is consistent with the expected return of 0.0828%. The fund secures a Beta (Market Risk) of 0.36, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Multi-asset Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Multi-asset Growth is expected to be smaller as well.
Auto-correlation | 0.54 |
Modest predictability
Multi Asset Growth Strategy has modest predictability. Overlapping area represents the amount of predictability between Multi-asset Growth time series from 9th of July 2025 to 24th of July 2025 and 24th of July 2025 to 8th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Multi Asset Growth price movement. The serial correlation of 0.54 indicates that about 54.0% of current Multi-asset Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Multi Asset Growth lagged returns against current returns
Autocorrelation, which is Multi-asset Growth mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Multi-asset Growth's mutual fund expected returns. We can calculate the autocorrelation of Multi-asset Growth returns to help us make a trade decision. For example, suppose you find that Multi-asset Growth has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Multi-asset Growth regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Multi-asset Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Multi-asset Growth mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Multi-asset Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Multi-asset Growth Lagged Returns
When evaluating Multi-asset Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Multi-asset Growth mutual fund have on its future price. Multi-asset Growth autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Multi-asset Growth autocorrelation shows the relationship between Multi-asset Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Multi Asset Growth Strategy.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Multi-asset Mutual Fund
Multi-asset Growth financial ratios help investors to determine whether Multi-asset Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Multi-asset with respect to the benefits of owning Multi-asset Growth security.
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