Mfs Blended Research Fund Market Value
| MUEVX Fund | USD 34.84 0.42 1.19% |
| Symbol | Mfs |
Mfs Blended '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 Blended'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 Blended.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Mfs Blended on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Blended Research or generate 0.0% return on investment in Mfs Blended over 30 days. Mfs Blended is related to or competes with Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, and Mfs Lifetime. The fund normally invests at least 80 percent of the funds net assets in equity securities More
Mfs Blended 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 Blended'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 Blended Research upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7159 | |||
| Information Ratio | 0.0818 | |||
| Maximum Drawdown | 3.89 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 1.33 |
Mfs Blended Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Blended's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Blended's standard deviation. In reality, there are many statistical measures that can use Mfs Blended historical prices to predict the future Mfs Blended's volatility.| Risk Adjusted Performance | 0.1039 | |||
| Jensen Alpha | 0.0639 | |||
| Total Risk Alpha | 0.051 | |||
| Sortino Ratio | 0.0887 | |||
| Treynor Ratio | 0.117 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Blended'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 Blended Research Backtested Returns
We consider Mfs Blended very steady. Mfs Blended Research has Sharpe Ratio of 0.18, which conveys that the entity had a 0.18% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Blended, which you can use to evaluate the volatility of the fund. Please verify Mfs Blended's Risk Adjusted Performance of 0.1039, downside deviation of 0.7159, and Mean Deviation of 0.5975 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. The fund secures a Beta (Market Risk) of 0.99, which conveys possible diversification benefits within a given portfolio. Mfs Blended returns are very sensitive to returns on the market. As the market goes up or down, Mfs Blended is expected to follow.
Auto-correlation | -0.63 |
Very good reverse predictability
Mfs Blended Research has very good reverse predictability. Overlapping area represents the amount of predictability between Mfs Blended time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 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 Blended Research price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Mfs Blended price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Mfs Blended Research lagged returns against current returns
Autocorrelation, which is Mfs Blended 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 Blended's mutual fund expected returns. We can calculate the autocorrelation of Mfs Blended returns to help us make a trade decision. For example, suppose you find that Mfs Blended 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 Blended 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 Blended mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Blended 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 Blended mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Blended Lagged Returns
When evaluating Mfs Blended's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Blended mutual fund have on its future price. Mfs Blended 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 Blended autocorrelation shows the relationship between Mfs Blended mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Blended Research.
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 Blended 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 Blended's short interest history, or implied volatility extrapolated from Mfs Blended options trading.
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Mfs Blended 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.