Mfs Lifetime 2050 Fund Market Value
| MFFSX Fund | USD 21.95 0.21 0.95% |
| Symbol | Mfs |
Mfs Lifetime '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 Lifetime'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 Lifetime.
| 01/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Mfs Lifetime on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Lifetime 2050 or generate 0.0% return on investment in Mfs Lifetime over 90 days. Mfs Lifetime is related to or competes with Mfs Prudent, Mfs Lifetime, Mfs Lifetime, Mfs Mid, Mfs International, Mfs Blended, and Mfs Blended. The fund is designed to provide diversification among different asset classes for investors with the approximate retirem... More
Mfs Lifetime 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 Lifetime'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 Lifetime 2050 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6446 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.6 | |||
| Value At Risk | (1.02) | |||
| Potential Upside | 0.9267 |
Mfs Lifetime Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Lifetime's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Lifetime's standard deviation. In reality, there are many statistical measures that can use Mfs Lifetime historical prices to predict the future Mfs Lifetime's volatility.| Risk Adjusted Performance | 0.0752 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.03) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Lifetime'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 Lifetime 2050 Backtested Returns
We consider Mfs Lifetime very steady. Mfs Lifetime 2050 has Sharpe Ratio of 0.0712, which conveys that the entity had a 0.0712% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Mfs Lifetime, which you can use to evaluate the volatility of the fund. Please verify Mfs Lifetime's Semi Deviation of 0.5442, risk adjusted performance of 0.0752, and Coefficient Of Variation of 813.45 to check out if the risk estimate we provide is consistent with the expected return of 0.0436%. The fund secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and Mfs Lifetime are completely uncorrelated.
Auto-correlation | -0.64 |
Very good reverse predictability
Mfs Lifetime 2050 has very good reverse predictability. Overlapping area represents the amount of predictability between Mfs Lifetime time series from 24th of January 2024 to 9th of March 2024 and 9th of March 2024 to 23rd 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 Lifetime 2050 price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Mfs Lifetime price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Mfs Lifetime 2050 lagged returns against current returns
Autocorrelation, which is Mfs Lifetime 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 Lifetime's mutual fund expected returns. We can calculate the autocorrelation of Mfs Lifetime returns to help us make a trade decision. For example, suppose you find that Mfs Lifetime 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 Lifetime 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 Lifetime mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Lifetime 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 Lifetime mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Lifetime Lagged Returns
When evaluating Mfs Lifetime's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Lifetime mutual fund have on its future price. Mfs Lifetime 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 Lifetime autocorrelation shows the relationship between Mfs Lifetime mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Lifetime 2050.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Mfs Lifetime in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Mfs Lifetime's short interest history, or implied volatility extrapolated from Mfs Lifetime options trading.
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Try AI Portfolio ArchitectCheck out Mfs Lifetime Correlation, Mfs Lifetime Volatility and Mfs Lifetime Alpha and Beta module to complement your research on Mfs Lifetime. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Mfs Lifetime 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.