Mfs Managed Wealth Fund Market Value
| MNWBX Fund | USD 11.86 0.01 0.08% |
| Symbol | Mfs |
Mfs Managed '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 Managed'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 Managed.
| 03/28/2024 |
| 05/27/2024 |
If you would invest 0.00 in Mfs Managed on March 28, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Managed Wealth or generate 0.0% return on investment in Mfs Managed over 60 days. Mfs Managed is related to or competes with HUMANA, Barloworld, Morningstar Unconstrained, High-yield Municipal, Via Renewables, American Century, and M2i Global. MFS seeks to achieve the funds objective by generating returns from a strategic allocation to three MFS equity funds, referred to as underlying funds, and a tactical asset allocation overlay primarily using derivative instruments to seek to decrease the volatility of the funds returns by reducing the funds exposure to the equity andor currency markets as represented by the underlying funds and also to potentially expose the fund to asset classes andor markets in which the underlying funds have little or no exposure. More
Mfs Managed 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 Managed'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 Managed Wealth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1927 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 0.8554 | |||
| Value At Risk | (0.26) | |||
| Potential Upside | 0.339 |
Mfs Managed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Managed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Managed's standard deviation. In reality, there are many statistical measures that can use Mfs Managed historical prices to predict the future Mfs Managed's volatility.| Risk Adjusted Performance | 0.0739 | |||
| Jensen Alpha | 0.0116 | |||
| Total Risk Alpha | 0.008 | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0917 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Managed'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 Managed Wealth Backtested Returns
We consider Mfs Managed very steady. Mfs Managed Wealth has Sharpe Ratio of 0.17, which conveys that the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Managed, which you can use to evaluate the volatility of the fund. Please verify Mfs Managed's Risk Adjusted Performance of 0.0739, mean deviation of 0.1489, and Coefficient Of Variation of 606.3 to check out if the risk estimate we provide is consistent with the expected return of 0.0308%. The fund secures a Beta (Market Risk) of 0.22, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mfs Managed's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Managed is expected to be smaller as well.
Auto-correlation | -0.81 |
Excellent reverse predictability
Mfs Managed Wealth has excellent reverse predictability. Overlapping area represents the amount of predictability between Mfs Managed time series from 28th of March 2024 to 27th of April 2024 and 27th of April 2024 to 27th of May 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 Managed Wealth price movement. The serial correlation of -0.81 indicates that around 81.0% of current Mfs Managed price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Mfs Managed Wealth lagged returns against current returns
Autocorrelation, which is Mfs Managed 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 Managed's mutual fund expected returns. We can calculate the autocorrelation of Mfs Managed returns to help us make a trade decision. For example, suppose you find that Mfs Managed 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 Managed 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 Managed mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Managed 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 Managed mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Managed Lagged Returns
When evaluating Mfs Managed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Managed mutual fund have on its future price. Mfs Managed 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 Managed autocorrelation shows the relationship between Mfs Managed mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Managed Wealth.
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.Check out Mfs Managed Correlation, Mfs Managed Volatility and Mfs Managed Alpha and Beta module to complement your research on Mfs Managed. Note that the Mfs Managed Wealth information on this page should be used as a complementary analysis to other Mfs Managed'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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Mfs Managed 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.