Mfs Aggressive Growth Fund Market Value
| MBAGX Fund | USD 28.46 0.25 0.87% |
| Symbol | Mfs |
Mfs Aggressive '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 Mfs Aggressive'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 Mfs Aggressive.
| 01/22/2023 |
| 04/16/2024 |
If you would invest 0.00 in Mfs Aggressive on January 22, 2023 and sell it all today you would earn a total of 0.00 from holding Mfs Aggressive Growth or generate 0.0% return on investment in Mfs Aggressive over 450 days. Mfs Aggressive is related to or competes with Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, and Mfs Lifetime. The fund is designed to provide diversification among different asset classes by investing its assets in other mutual fu... More
Mfs Aggressive 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 Mfs Aggressive'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 Mfs Aggressive Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7391 | |||
| Information Ratio | 0.0063 | |||
| Maximum Drawdown | 2.79 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 0.9343 |
Mfs Aggressive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Aggressive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Aggressive's standard deviation. In reality, there are many statistical measures that can use Mfs Aggressive historical prices to predict the future Mfs Aggressive's volatility.| Risk Adjusted Performance | 0.0679 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | 0.0051 | |||
| Sortino Ratio | 0.0053 | |||
| Treynor Ratio | 0.06 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Aggressive'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.
Mfs Aggressive Growth Backtested Returns
We consider Mfs Aggressive very steady. Mfs Aggressive Growth has Sharpe Ratio of 0.15, which conveys that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Aggressive, which you can use to evaluate the volatility of the fund. Please verify Mfs Aggressive's Downside Deviation of 0.7391, mean deviation of 0.4743, and Risk Adjusted Performance of 0.0679 to check out if the risk estimate we provide is consistent with the expected return of 0.0919%. The fund secures a Beta (Market Risk) of 0.94, which conveys possible diversification benefits within a given portfolio. Mfs Aggressive returns are very sensitive to returns on the market. As the market goes up or down, Mfs Aggressive is expected to follow.
Auto-correlation | 0.80 |
Very good predictability
Mfs Aggressive Growth has very good predictability. Overlapping area represents the amount of predictability between Mfs Aggressive time series from 22nd of January 2023 to 4th of September 2023 and 4th of September 2023 to 16th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Mfs Aggressive Growth price movement. The serial correlation of 0.8 indicates that around 80.0% of current Mfs Aggressive price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 2.52 |
Mfs Aggressive Growth lagged returns against current returns
Autocorrelation, which is Mfs Aggressive 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 Mfs Aggressive's mutual fund expected returns. We can calculate the autocorrelation of Mfs Aggressive returns to help us make a trade decision. For example, suppose you find that Mfs Aggressive 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 |
Mfs Aggressive 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 Mfs Aggressive mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Aggressive mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mfs Aggressive mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Aggressive Lagged Returns
When evaluating Mfs Aggressive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Aggressive mutual fund have on its future price. Mfs Aggressive 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, Mfs Aggressive autocorrelation shows the relationship between Mfs Aggressive mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Aggressive Growth.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Mfs Aggressive Correlation, Mfs Aggressive Volatility and Mfs Aggressive Alpha and Beta module to complement your research on Mfs Aggressive. Note that the Mfs Aggressive Growth information on this page should be used as a complementary analysis to other Mfs Aggressive's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Mfs Aggressive technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.