Mfs E Equity Fund Market Value
| MRGAX Fund | USD 56.56 0.25 0.44% |
| Symbol | Mfs |
Mfs Core '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 Core'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 Core.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Mfs Core on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs E Equity or generate 0.0% return on investment in Mfs Core over 30 days. Mfs Core 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 Core 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 Core'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 E Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.839 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 4.22 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 1.1 |
Mfs Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Core's standard deviation. In reality, there are many statistical measures that can use Mfs Core historical prices to predict the future Mfs Core's volatility.| Risk Adjusted Performance | 0.1286 | |||
| Jensen Alpha | 0.007 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1357 |
Mfs E Equity Backtested Returns
At this stage we consider Mfs Mutual Fund to be very steady. Mfs E Equity has Sharpe Ratio of 0.21, which conveys that the entity had a 0.21% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mfs Core, which you can use to evaluate the volatility of the fund. Please verify Mfs Core's Mean Deviation of 0.5461, downside deviation of 0.839, and Risk Adjusted Performance of 0.1286 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. The fund secures a Beta (Market Risk) of 0.87, which conveys possible diversification benefits within a given portfolio. Mfs Core returns are very sensitive to returns on the market. As the market goes up or down, Mfs Core is expected to follow.
Auto-correlation | 0.94 |
Excellent predictability
Mfs E Equity has excellent predictability. Overlapping area represents the amount of predictability between Mfs Core time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 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 E Equity price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current Mfs Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.94 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Mfs E Equity lagged returns against current returns
Autocorrelation, which is Mfs Core 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 Core's mutual fund expected returns. We can calculate the autocorrelation of Mfs Core returns to help us make a trade decision. For example, suppose you find that Mfs Core 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 Core 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 Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Core 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 Core mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Core Lagged Returns
When evaluating Mfs Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Core mutual fund have on its future price. Mfs Core 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 Core autocorrelation shows the relationship between Mfs Core mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs E Equity.
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 Mfs Mutual Fund
Mfs Core financial ratios help investors to determine whether Mfs 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 Mfs with respect to the benefits of owning Mfs Core security.
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